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Build. Learn. Deliver. Launch your technology career with BOT Consulting. The CADET Program is a structured 6-month training and internship program designed to help final-year engineering students to build the technical skills, practical experience, and professional capabilities needed to start a successful career in technology. At BOT Consulting, you will learn from experienced professionals, gain hands-on exposure to real-world projects, and work in an environment that encourages continuous learning, collaboration, and innovation. High-performing candidates may be considered for full-time employment with BOT Program Structure Phase 1 — Foundation Training Build a strong foundation through: Core technical concepts and tool-based training Industry practices, processes, and workflows Software development and engineering fundamentals Introduction to professional tools and platforms Phase 2 — Hands-on Project Experience Put your learning into practice through: Internal and/or client project exposure Development, configuration, testing, and documentation activities Mentor-guided project assignments Collaboration with cross-functional teams Phase 3 — Evaluation & Career Transition Demonstrate your capabilities through: Structured performance assessments Technical and project evaluations Continuous feedback and development discussions Consideration for full-time opportunities based on performance and business requirements What You’ll Do As a CADET participant, you will: Actively participate in technical training and learning sessions Contribute to assigned project and engineering activities Assist with development, configuration, testing, and documentation Work closely with mentors and cross-functional teams Complete assignments, assessments, and project deliverables within defined timelines Follow organizational quality, security, and process standards Continuously build your technical and professional skills Requirements Who Can Apply? We are looking for motivated engineering students who are eager to begin their careers in technology. Eligibility Criteria Final-year B.Tech students Minimum 7.0 CGPA No active academic backlogs Strong interest in technology and engineering Basic understanding of programming, databases, or engineering fundamentals Willingness to learn new technologies and adapt to a fast-paced environment Good communication and collaboration skills Skills That Will Help You Stand Out Prior exposure to any of the following will be an advantage: Programming languages such as Java, Python, JavaScript, or similar Salesforce or other technology platforms Software Development Life Cycle (SDLC) Git and development tools/IDEs Cloud platforms and technologies Problem-solving and analytical thinking You don't need to know everything on day one. What matters is your curiosity, learning mindset, and ability to apply what you learn. What We Offer Learn with Purpose 6-month structured training and internship program Hands-on exposure to real-world projects Guidance from experienced mentors Continuous feedback and learning opportunities Exposure to professional engineering practices Internship certificate upon successful completion Your first role is just the beginning. The goal of CADET is to give you the foundation to learn, contribute, and grow.

About Caylent Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About the Role We are seeking a highly skilled and motivated software Engineer with expertise in end-to-end solution development, deployment, and architecture across multiple domains.This role will focus on driving automation, scalability, and efficiency across our technical delivery ecosystem. You’ll work closely with solution architects and engineers to build assets and automations that can be integrated into repeatable client delivery work-streams. Key Responsibilities Solution Development & Implementation Design, develop, and deploy scalable, secure applications and AI-assisted features using cloud-native services such as AWS Lambda, EC2, S3, RDS, and related tools. Participate in the full application development lifecycle, including data processing, feature implementation, testing, deployment, and monitoring. Collaborate with senior engineers and architects to build production-ready, maintainable, and high-performance systems aligned with business objectives. ● Contribute to proof-of-concepts and prototypes involving new frameworks, algorithms, or AI-assisted features. Integrate basic AI/ML components or APIs into applications to enhance functionality and user experience. Implement and maintain CI/CD pipelines, version control, and automated testing for software and AI-assisted modules. Support integration of applications with enterprise systems, APIs, and data services across AWS. Follow established coding, testing, and documentation standards to ensure maintainability, security, and performance. Collaboration & Continuous Improvement Work closely with architects, cloud engineers, and product teams to translate concepts into deployable solutions. Participate in architecture and code reviews to ensure high engineering standards. ● Support pre-sales or internal PoC efforts under senior guidance to demonstrate capabilities. Stay updated with emerging trends in AI/ML, GenAI, and MLOps, recommending improvements where relevant. Contribute to the internal AI Center of Excellence (CoE) by building reusable components, frameworks, and automation scripts. Requirements Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 2-4 years of hands-on experience in software or AI engineering, including application development, cloud-based architectures, and building CI/CD pipelines. Proficiency in Python and at least one additional programming language (e.g. Java, Go, C++, JavaScript, or Rust). Strong working knowledge of core AWS services used in software engineering, including Lambda, API Gateway, EC2, S3, RDS/DynamoDB, Step Functions, and related cloud-native tools. (Experience with Azure or GCP equivalents is a plus.). Working knowledge of data engineering concepts such as ETL pipelines, feature stores, or vector databases. Familiarity with LLMs and GenAI concepts (prompting, embeddings, RAG pipelines) is a plus. Strong grasp of software engineering best practices — version control, testing, modular design, and cloud deployment. Excellent analytical, problem-solving, and communication skills. Preferred certifications: AWS Certified Machine Learning – Specialty, AWS Solutions Architect – Associate, or equivalent. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Cloudsmith Cloudsmith is building the operating system for the modern software supply chain. We run a global, fully managed, multi-tenant SaaS platform that helps organizations, from startups to the Fortune 500, secure, govern, and distribute software artifacts at scale. Worldwide, our customers use Cloudsmith as a critical infrastructure control plane for CI/CD, developer workflows, security controls, compliance, and software distribution, supporting 30+ formats and ecosystems across languages, containers, and operating systems. We recently raised our Series C to accelerate Cloudsmith 2.0: deeper artifact intelligence, stronger policy and provenance, faster package-aware delivery, and infrastructure built for engineering teams, as well as the modern AI-driven software factory. By developers, for developers: we care about craft, architecture, and enterprise scale. About the Role We are looking for a Salesforce Technical Consultant to join our team and contribute to the development and delivery of Salesforce solutions. In this role, you will work closely with technical and business teams to understand requirements, develop scalable Salesforce solutions, support integrations, and continuously enhance the platform. You will gain exposure to modern Salesforce capabilities including Agentforce, Data Cloud, and AI-driven solutions. The role requires strong hands-on technical skills, a problem-solving mindset, attention to detail, and a willingness to learn and take ownership. Key Responsibilities Salesforce Development & Configuration Develop and customize Salesforce solutions using Apex, Lightning Web Components (LWC), and Flows. Translate business requirements into scalable and maintainable Salesforce solutions. Build and enhance custom objects, fields, validation rules, workflows, flows, and automation. Troubleshoot and resolve technical issues related to Salesforce applications. Follow Salesforce development and security best practices. Agentforce & AI Exposure Support the development and implementation of Salesforce Agentforce solutions. Assist in configuring AI-powered actions, prompts, and workflows. Gain exposure to Salesforce Data Cloud, Prompt Builder, and Model Builder. Develop Apex actions and LWC components to extend Salesforce capabilities. Support the implementation of appropriate security and governance controls for AI-enabled solutions. Integration & Technical Development Support integrations between Salesforce and external applications using REST/SOAP APIs. Work with middleware and integration teams to troubleshoot and enhance integrations. Understand and implement secure and scalable integration patterns. Collaborate with senior developers and architects on technical solution design. Platform & Release Support Support Salesforce deployments, releases, and environment management. Work with Salesforce DX, Git, and version control. Participate in CI/CD processes using tools such as Copado, Gearset, or Jenkins. Monitor system performance and help identify opportunities for platform optimization. Code Quality & Best Practices Write clean, reusable, and efficient code following Salesforce best practices. Participate in code reviews and technical discussions. Follow Salesforce security, data, and development standards. Contribute to reusable components and technical documentation. Collaboration & Stakeholder Support Work with business and technical stakeholders to understand requirements. Participate in requirement discussions, solution walkthroughs, and demos. Collaborate with senior consultants, architects, and developers on solution delivery. Communicate technical concepts clearly to both technical and non-technical stakeholders. Requirements Required Qualifications & Skills Bachelor’s degree in Computer Science, Information Technology, or a related field. 1–3 years of hands-on Salesforce development experience. Good understanding of: Apex Lightning Web Components (LWC) Salesforce Flows and automation Salesforce configuration and customization Basic understanding of Salesforce integrations and REST/SOAP APIs. Familiarity with Salesforce development tools such as Salesforce DX and Git. Understanding of Salesforce security concepts, including profiles, permission sets, sharing, and data access. Exposure to Agentforce, Data Cloud, Prompt Builder, or Model Builder is an advantage. Salesforce certification such as Platform Developer I or Platform App Builder is preferred. Good analytical and problem-solving skills. Strong communication and collaboration skills. Ability to learn new Salesforce technologies and work in a fast-paced environment. Exposure to Agile/Scrum delivery models. Why Join Us Ownership: Lead and manage end-to-end Salesforce development on a key platform Impact: Work directly with business stakeholders to drive real outcomes Growth: Opportunity to evolve into architecture or technical leadership roles Culture: Collaborative, fast-paced, and engineering-driven environment

We are seeking a talented Senior Engineer with 2+ years of hands-on experience to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. This role is suited for someone passionate about building robust, scalable solutions that drive business impact. The successful candidate will play a key role in the full software development lifecycle within the AWS ecosystem.This includes analyzing requirements, designing scalable solutions, writing clean and efficient code, integrating third-party systems, and ensuring performance and security best practices. The role involves close collaboration with cross-functional teams to ensure the delivery of impactful, user-friendly to deliver AWS cloud solutions across our diverse and innovative customer base. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Key Responsibilities: ● Developing Infrastructure-as-Code (IaC) using Terraform, CDK, or Pulumi. ● Developing CI/CD pipelines. ● Working closely with customer engineers building the solutions described in the project backlog. ● Developing custom automation (Bash / Powershell / Lambda functions). ● Troubleshooting system and deployment issues. Requirements Qualifications & Skills ● Bachelor's degree in Computer Science, Engineering, or a related technical field. ● 2+ years of experience as a Cloud Engineer, with a proven track record of delivering successful projects on the Cloud platform. ● Expert understanding of cloud infrastructure and implementing Infrastructure-as-Code(IaC). ● Expert understanding of working with, building CI/CD pipelines and GitOps methodology. ● Excellent knowledge of containerization, Kubernetes, or other container management platforms. ● Proficient in Networking and IAM security. ● Proficient with any of: Python, Go, C#, Node.js. ● Great understanding of Agile project delivery. ● Great verbal and written communication skills. ● Enthusiasm for working in a startup environment and the ability to be cross-functional. ● Possess a natural curiosity and excitement for learning new technology ● Experience in a some of the following: ● CICD ● IaC (Terraform, Cloudformation, AWS CDK, Pulumi, etc) ● Scripting ● Containers (Kubernetes, Docker, ECS, Fargate, etc) ● Cloud Security Best Practices ● Networking ● Incident, release, problem and change management processes ● Experience working in a client-facing environment. ● Experience working on agile projects. ● Consultancy/advisory experience. ● Willingness to work flexible shifts to support customers in different time zones. Signs You May Be a Great Fit ● Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. ● Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. ● Growth: Access professional development opportunities, and mentorship from experienced peers. ● Benefits: Competitive salary, wellness packages, and flexible work arrangements that

The Manager - App Dev is a hands-on leadership role responsible for designing comprehensive, scalable, and secure Salesforce solutions. This role involves guiding delivery teams through technically complex implementations while ensuring adherence to high-quality standards. The Technical Architect plays a pivotal role in aligning technical design with business objectives, driving innovation, and maintaining consistency across multiple Centers of Excellence (CoEs) and projects. Key Responsibilities Solution Architecture: Design end-to-end Salesforce architectures that are scalable, secure, and optimized for performance across multiple Salesforce Clouds and organizational contexts. Client Engagement: Lead complex technical discussions with clients to understand requirements and ensure solutions align with desired business outcomes and compliance requirements. Team Mentorship: Provide guidance and mentorship to developers, junior architects, and other technical staff across various CoEs, fostering technical growth and best practices adherence. Standards & Governance: Define, enforce, and review coding standards, integration principles, DevOps processes, and security protocols to ensure consistency and technical excellence. Cross-CoE Collaboration: Work closely with CoE leaders to maintain architectural consistency, promote innovation, and support complex multi-cloud or multi-org Salesforce deployments. Quality Assurance: Oversee code reviews, architectural reviews, and technical risk assessments to uphold delivery quality and mitigate issues proactively. Requirements Qualifications 8+ years of progressive experience in Salesforce solution architecture, design, and enterprise delivery leadership. Deep technical expertise in Salesforce Clouds, including Sales, Service, Experience, and others, along with Apex, Lightning Web Components (LWC), integrations, and security models. Demonstrated experience in leading large-scale, multi-cloud, multi-org, or enterprise Salesforce implementations. Salesforce Certified Technical Architect (CTA) credential or equivalent certifications highly preferred. Proven ability to lead and influence diverse technical teams and effectively communicate complex concepts to technical and non-technical stakeholders. Preferred Skills Expertise in Salesforce integration architectures, including REST/SOAP APIs, middleware, and event-driven models. Strong understanding of DevOps practices within Salesforce environments, including CI/CD pipelines and automated testing. Knowledge of compliance frameworks and security best practices relevant to Salesforce deployments. Experience working in agile project delivery environments and familiarity with modern project management tools. Excellent problem-solving, decision-making, and stakeholder management skills. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

About Caylent Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About the Role We are seeking a Senior Cloud Engineer (E3) to join our growing Managed Service Provider (MSP) team. This role is ideal for a hands-on technical leader who can design, build, and operate complex cloud solutions while mentoring engineers and partnering closely with CloudOps, DevOps, security teams, and clients. Key Responsibilities Lead the design and implementation of advanced cloud-native solutions for client workloads Evaluate and select tools, libraries, and AWS services aligned to scalability, security, and cost efficiency Apply structured frameworks to assess problems, risks, and architectural trade-offs Build and enhance cloud-native architectures including serverless, IoT backends, and highly automated delivery pipelines Enforce engineering standards, SDLC best practices, and architectural consistency Move fluidly between high-level architectural thinking and hands-on implementation Partner with CloudOps to design support models, response procedures, and operational handoffs Participate in cross-functional delivery teams to ensure successful client outcomes Mentor engineers, define stories and task-level work, and provide technical guidance Design and implement highly reliable, secure, and cost-optimized AWS architectures Build and maintain observability platforms using AWS-native tools (CloudWatch, X-Ray, Config) and partner solutions (Datadog, Dynatrace, OpenTelemetry) Collaborate with 24x7 operations teams to define actionable metrics, logs, and alerts Establish runbooks and automation aligned to monitoring thresholds and incident response Drive root cause analysis, noise reduction, and long-term reliability improvements Partner with DevOps and security teams to embed resilience, security, and cost optimization into all solutions Coach, mentor, and share knowledge with engineers across experience levels Perform code reviews, provide constructive feedback, and pair program when needed Contribute to internal IP, tooling, and open-source initiatives Participate in Agile delivery models and execution planning Engage with clients through presentations, architectural discussions, and technical decision-making Build relationships with vendors and AWS partners Stay current with AWS best practices and emerging cloud technologies Requirements Skills & Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field with strong 4+ years of IT experience 3+ years of hands-on experience with Amazon Web Services (AWS) 2+ years of programming experience in Python, Node.js, TypeScript, Go, Java, or C# 2+ years of strong experience in Kubernetes or Continuous Integration and Deliver (CI/CD) experience. Experience with infrastructure as code and configuration management Experience with CI/CD pipelines and modern delivery practices Experience working within Agile or similar delivery methodologies Willingness to work in graveyard shift. AWS Associate or Professional certifications (Solutions Architect, DevOps Engineer, SysOps, Developer) Experience designing scalable, automated cloud infrastructure Strong experience with AWS Lambda and serverless architectures Experience supporting large-scale enterprise or MSP environments Experience in client-facing or consulting roles Strong communication skills with the ability to explain technical concepts clearly to varied audiences Effective time and self-management with the ability to prioritize, adapt, and meet deadlines Strong problem-solving mindset with the ability to analyze issues and deliver practical solutions Collaborative team player who builds productive relationships with clients and stakeholders Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io About the Role We are seeking a proactive Content Specialist who can own content execution across social media, website, blogs, and internal platforms, while supporting marketing campaigns. The role requires strong English writing and editing skills, a good understanding of B2B content, and the ability to adapt messaging to AllCloud’s brand voice. You’ll work closely with the global, particularly US-based, marketing team to create, publish, and maintain high-quality content across channels. The ideal candidate takes ownership, works independently, manages multiple priorities, and gets things done with minimal supervision. The role also involves helping build and document content processes while working with platforms such as WordPress, Canva, social media, and AI-powered content tools. Experience with Pardot or similar marketing automation platforms is a plus. Key Responsibilities 1. Content Creation & Social Media Create, edit, and publish engaging content for LinkedIn and other relevant social media platforms. Develop content for company updates, thought leadership, announcements, PR promotions, and marketing initiatives. Adapt messaging, tone, and format to align with AllCloud’s brand voice and target audience. Maintain a consistent social media posting schedule and content calendar Monitor engagement and use performance insights to improve content effectiveness. 2. Website, Blogs & SEO Draft, edit, format, and publish blog posts, press releases, case studies, and other website content using WordPress. Ensure content is clear, accurate, engaging, and aligned with brand guidelines. Apply SEO best practices, including metadata, headings, internal linking, image alt text, and content structure. Apply Answer Engine Optimization (AEO) practices to structure content for discoverability across AI-powered search and answer engines. Optimize website and thought-leadership content for AI search visibility, helping strengthen brand presence and opportunities for inclusion or citation across generative AI platforms. Review published content for formatting, readability, accuracy, and functionality. Coordinate content updates to keep website pages current and relevant. 3. Content Management & Documentation Upload, organize, and maintain content across internal content management platforms. Manage content categorization, tagging, and taxonomy to ensure easy discovery. Maintain the content library, including case studies and other marketing collateral. Review and archive outdated content as required. Document content workflows, publishing guidelines, and recurring processes to support consistency and operational efficiency. 4. Marketing Campaign Support Support the execution of marketing campaigns by preparing and coordinating content assets. Assist with email campaigns, landing pages, and campaign-related content. Perform quality checks on campaign assets, including links, formatting, and personalization. Track basic campaign performance and share relevant observations with the marketing team. Collaborate with cross-functional stakeholders to ensure timely and accurate campaign execution. 5. AI-Assisted Content & Visual Creation Use AI-powered tools, particularly Gemini, to support content ideation, drafting, editing, and refinement. Review and refine AI-generated content to ensure accuracy, quality, brand alignment, and a natural writing style. Use Canva to create and edit social media graphics, blog visuals, and other basic marketing assets. Identify opportunities to improve content creation and publishing workflows using available tools. Requirements Skills & Qualifications 3–6 years of relevant experience in content writing, content marketing, digital marketing, or a similar role. Excellent written English, with strong grammar, editing, proofreading, and tone-control skills. Demonstrated ability to write engaging social media content and adapt messaging to a defined brand voice. Experience creating or managing content for a B2B audience. Hands-on experience with WordPress for content publishing, formatting, and website updates. Familiarity with social media platforms, particularly LinkedIn, and social media scheduling tools. Working knowledge of Canva for creating and editing basic marketing visuals. ● Familiarity with AI-assisted content creation tools, particularly Gemini. ● Strong organizational skills and the ability to manage multiple content streams and deadlines independently. A proactive mindset, with the ability to take ownership of tasks and execute them with minimal supervision. Willingness to document workflows and contribute to building structured content processes. Nice to Have Experience with Pardot or similar marketing automation platforms, such as Marketo. Familiarity with email campaign execution, list segmentation, landing pages, and basic campaign reporting. Understanding of SEO principles and content optimization. Experience working with global marketing teams or international stakeholders. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Cloudsmith Cloudsmith is transforming how organizations manage software artifacts and secure their software supply chains. As a fully managed, multi-tenant SaaS platform, we enable organizations to build, secure, and distribute software with confidence. Built by developers for developers, Cloudsmith is the industry's leading artifact management platform, supporting over 30 package formats across programming languages, container technologies, and operating systems. Our platform combines enterprise-grade artifact management with vulnerability scanning, policy enforcement, and software supply chain security at global scale, serving startups through Fortune 500 organizations. Backed by leading investors and on an exciting growth journey toward IPO, Cloudsmith is building the critical infrastructure powering modern software delivery worldwide. About the Role We are building a team that is responsible for the developer experience. On a daily basis, we work with our customers and the developer community to ensure they are building software that is efficient and secure across the whole supply chain. Our team helps customers troubleshoot and investigate issues, diagnosing and resolving core product-related problems. As Support Team Lead, you own the delivery and team capability. You are the technical escalation point for your team, the owner of queue health and prioritisation, and the person who protects your team's time so they can do proactive, high-leverage work. Key Responsibilities: Day To Day Team Management: : Own the daily rhythm of the team including work allocation, shift handovers and leave. Make the required decisions to keep the team progressing. Hold weekly 1:1s and track performance continuously against clear role expectations, so issues are identified and handled efficiently. Technical Guidance: Act as the technical escalation point for your team, unblocking complex diagnostic and troubleshooting work and setting the standard for quality. Workflow Delivery: Own ticket queue health and prioritisation to ensure predictable, smooth delivery of support workflows. Team Development: Deliver consistent coaching and structured feedback that measurably improves team performance, autonomy, and confidence. Mentorship: Develop and mentor your team to help them continue to deliver world class Customer Support as we scale Operations: Manage team capacity, own the shift and on-call rota, and ensure the team provides world class Incident Communications and Incident Management. Metrics & Process: Set and achieve support KPIs (response time, resolution rate, CSAT) with the head of support, and build repeatable processes that improve response quality and speed. Documentation & Enablement: Ensure knowledge base articles, runbooks, and internal documentation stays current, so customers can resolve common issues independently. Customer Advocacy: Act as a customer advocate within the company, surfacing support trends, feedback, and feature requests to support & success leadership and the product development team to inform roadmap prioritisation. Requirements Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 6+ years in Technical Product Support or a similar role 2+ years leading & growing technical teams Demonstrable coaching and feedback experience. You can talk specifically about someone who got measurably better because you managed them The ability to create an environment where people feel safe asking questions, taking risks, and escalating mistakes early Comfortable reading and debugging code, and confident scripting in Python, JavaScript, or a similar language. Knowledge of software packaging and distribution concepts and tools. Experience owning incident response or major incident communications in a customer-facing environment Excellent problem-solving and troubleshooting skills. A strong operational mindset - you like fixing problems, not just symptoms. Ability to drive results and ensure delivery through others An enthusiastic and effective communicator (In English): you should be able to appeal to and communicate with both technical and non-technical listeners alike, and keep stakeholders informed with clear, transparent direction. Willingness to own and work flexible shifts to support customers in different time zones. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access to professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

We are seeking a Senior AI Engineer to lead the design and development of AI-powered accelerators that streamline and automate complex business workflows. This role centres on building reliable, production-grade Agentic systems and orchestration frameworks that improve speed, quality, and reusability across delivery and modernisation initiatives. The ideal candidate combines strong hands-on engineering capability with architectural leadership, a Forward Deployment mindset, and a passion for enabling client teams through shared accelerators, assets, and patterns. Key Responsibilities Agentic System Development Design, build, and maintain AI accelerators that enhance productivity and reduce delivery effort across complex business workflows. Develop Agentic and workflow-automation solutions including multi-agent orchestration, task routing, supervisory agents, and tool-use pipelines. Implement robust context-management strategies including retrieval pipelines, memory stores, episodic context, and session-state control. Architect reliable production systems with evaluation loops, telemetry, failure-handling, and safety/guardrail patterns. Platform Engineering & Reuse Build reusable accelerator frameworks adaptable across multiple client and delivery contexts. Establish development standards, reference implementations, and reusable patterns that compress delivery timelines and eliminate guesswork. Partner with engineering and delivery teams to adapt accelerators to live projects and real-world scenarios. Contribute to documentation, training materials, and onboarding guidance for accelerator adoption across teams. Technical Leadership Provide architectural guidance, mentorship, and code reviews for junior and mid-level engineers. Collaborate with product and delivery stakeholders to translate business workflows into automatable, scalable system designs. Advocate for reusable, forward-compatible design patterns and a culture of experimentation, evidence-based iteration, and shared learning. Forward Deployment Engineering Embed directly with GCC client teams to deploy, configure, and operationalise AI accelerators in integration environments. Act as the technical bridge between Odyssey's core platform and client-side implementation — adapting accelerators to each GCC's toolchain, data landscape, and workflow context. Diagnose integration friction points in real-world deployments and feed learnings back into the core accelerator roadmap. Train and enable client engineers to own and extend accelerators independently, reducing long-term dependency on central platform support. Collaborate with BOT's delivery and programme management teams to ensure AI accelerators are adopted with measurable impact — tracking time-to-value, usage quality, and reuse rates across engagements. Requirements Required: Experience 4+ years of professional software engineering experience, with at least 2–3 years in applied AI / LLM systems. Experience in consulting, platform engineering, or accelerator-style reusable asset development. Prior involvement in data-migration, modernisation, or analytics engineering programmes is a strong plus. Demonstrated experience in a Forward Deployment, Solutions Engineering, or embedded client-facing technical role is highly desirable. LLM & Agentic Systems Strong expertise in LLM-based application development using frameworks such as LangChain, LangGraph, Semantic Kernel, or custom orchestration. Proven experience with Agentic design patterns including: Multi-step task planning & decomposition Tool-calling / API-driven agents Workflow graphs & supervisory agents Long-running task coordination Claude Code Expertise Hands-on proficiency with Claude Code — Anthropic's Agentic coding tool — to accelerate development of AI-powered systems and accelerators. Ability to leverage Claude Code for end-to-end engineering tasks: scaffolding Agentic pipelines, writing and reviewing complex code, debugging production issues, and iterating rapidly on accelerator builds. Experience using Claude Code in team and enterprise environments, including MCP (Model Context Protocol) server integrations to connect Claude Code with internal tools, data sources, and workflows. Capability to train and guide other engineers on effective Claude Code usage patterns — maximising output quality, context management, and safe Agentic task execution. Context & Retrieval Design Deep familiarity with RAG pipelines, embedding strategies, and retrieval quality evaluation. Experience with grounding, prompt-context isolation, vector stores, and document indexing at scale. Software Engineering Fundamentals Python (primary) — testing, packaging, dependency management, and CI/CD deployment patterns. Architectural design and code quality best-practices for production AI systems. Experience designing observability and evaluation loops for AI workflows — telemetry, metrics, regression testing, and drift tracking. Integration experience with data platforms/warehouses, metadata systems, workflow tools, and REST/Microservices architectures. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Role Overview We are looking for an experienced Infrastructure Solutions Engineer with strong expertise in Windows and Linux infrastructure as well as AWS cloud environments. The ideal candidate has hands-on experience managing enterprise infrastructure, troubleshooting complex technical issues, implementing cloud solutions, and ensuring the reliability, security, and performance of production environments. The role requires a strong combination of Windows and Linux Server administration, AWS infrastructure, networking, automation, monitoring, and troubleshooting skills, along with the ability to work closely with engineering and customer-facing teams. Key Responsibilities Design, implement, manage, and support Windows and Linux-based infrastructure across on-premises and AWS environments. Administer and troubleshoot Windows and Linux Server environments, including Active Directory, DNS, DHCP, Group Policy, IIS, Linux distributions, and related services. Design and manage AWS infrastructure using services such as EC2, VPC, IAM, S3, CloudWatch, RDS, Route 53, Load Balancers, and Auto Scaling. Perform infrastructure troubleshooting across OS, networking, application, database, and cloud layers. Monitor system health, performance, availability, and capacity across infrastructure environments. Implement and maintain backup, disaster recovery, high availability, and business continuity solutions. Manage security controls including IAM, security groups, network ACLs, patching, endpoint security, and access management. Automate infrastructure and operational tasks using PowerShell, Python, AWS CLI, or similar scripting tools. Support infrastructure provisioning and configuration management using Terraform, CloudFormation, or equivalent tools. Identify recurring infrastructure issues and drive root cause analysis (RCA) and permanent remediation. Collaborate with DevOps, Application, Security, and Engineering teams to support deployments and infrastructure changes. Participate in incident, problem, and change management processes. Maintain technical documentation, architecture diagrams, SOPs, and troubleshooting guides. Participate in on-call/rotational support when required. Requirements Required Skills 6+ years of experience in Windows and Linux Server administration and enterprise infrastructure. Strong hands-on experience with Windows Server 2016/2019/2022. Strong knowledge of Active Directory, Group Policy, DNS, DHCP, IIS, Linux administration, and system troubleshooting. Experience with Windows and Linux patching, upgrades, performance tuning, and system hardening. Understanding of PowerShell, Bash, or Shell scripting and automation. Strong hands-on experience with AWS infrastructure and services. Good understanding of EC2, VPC, IAM, S3, CloudWatch, RDS, Route 53, ELB/ALB, Auto Scaling, and related AWS services. Experience designing and troubleshooting AWS networking, including subnets, routing, security groups, NAT/Internet Gateways, and VPN. Understanding of AWS security, monitoring, backup, and disaster recovery practices. Strong troubleshooting skills across OS, network, application, and cloud infrastructure. Experience with Terraform or CloudFormation is preferred. Exposure to CI/CD and DevOps practices is an advantage. Experience with monitoring tools such as CloudWatch, SolarWinds, Datadog, Splunk, or equivalent. Good understanding of TCP/IP, HTTP/HTTPS, VPN, firewalls, load balancing, and networking concepts. Preferred Qualifications AWS certification such as AWS Solutions Architect – Associate/Professional or SysOps Administrator. Microsoft certification such as Azure Administrator, Windows Server, or related Microsoft certification. Experience working in SaaS, cloud, managed services, or enterprise infrastructure environments. Experience supporting production-critical environments and customer-facing technical issues. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io About the Role We are looking for a Salesforce Solution Architect with strong consulting and technical expertise to lead the design and delivery of scalable Salesforce solutions for enterprise clients. In this role, you will work closely with business stakeholders, delivery teams, and technical architects to translate complex business requirements into robust Salesforce architectures. You will drive solution design, ensure alignment with Salesforce platform best practices, and support successful delivery across multiple Salesforce clouds. This position requires a strong combination of architecture expertise, client-facing consulting skills, and deep knowledge of the Salesforce ecosystem. Key Responsibilities Design and architect scalable Salesforce solutions aligned with client business objectives and Salesforce best practices. Collaborate with clients, business stakeholders, and delivery teams to gather requirements and translate them into solution architecture. Lead solution design workshops, architecture reviews, and technical decision-making throughout the project lifecycle. Provide technical leadership and mentorship to Salesforce developers, administrators, and consultants. Define data models, security architecture, and integration frameworks for enterprise Salesforce implementations. Collaborate with cross-functional teams to integrate Salesforce with external enterprise systems using APIs and middleware platforms. Participate in project planning, solution estimation, and roadmap discussions. Ensure adherence to Salesforce governance, security standards, and architectural best practices. Troubleshoot complex technical challenges and guide teams toward optimal architectural solutions. Stay current with Salesforce platform releases, new capabilities, and industry trends to continuously improve solution design. Requirements Skills & Qualifications 8–12 years of experience in the Salesforce ecosystem in roles such as Solution Architect, Senior Salesforce Consultant, or Technical Lead. Strong expertise in Salesforce platform architecture and enterprise solution design. Deep knowledge of: Sales Cloud Service Cloud Experience (Community) Cloud Core Salesforce Platform capabilities Strong experience with: Advanced Salesforce configuration and declarative development Security model and access management Data modeling and data migration strategies System integrations and API-led architecture Familiarity with Apex, Visualforce, and Lightning Components from a solution design perspective. Experience working in Agile delivery environments (backlog management, sprint planning, user stories, and acceptance criteria). Strong analytical thinking and problem-solving abilities. Preferred Skills Ability to design enterprise-grade, scalable Salesforce architectures. Strong stakeholder management and client consulting skills. Excellent communication, documentation, and presentation abilities. Experience working in fast-paced consulting environments with evolving requirements. Self-driven with the ability to lead technical discussions and influence solution direction. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary The AI Transformation Team partners with enterprise customers to design, build, and operationalize agentic AI solutions on AWS. As an AI Engineer, you will work directly with clients across financial services, healthcare, and industrial sectors, translating complex business challenges into scalable, production-grade AI systems. This role combines hands-on engineering with customer engagement, solution architecture, and delivery leadership. You will leverage modern AI platforms and AWS-native services to drive measurable business outcomes. Key Responsibilities Design, build, and deploy production-grade AI systems leveraging LLMs and agentic architectures Translate business requirements into scalable AI solution architectures and implementation roadmaps Lead and participate in discovery workshops, architecture reviews, and solution design sessions with customers Develop and optimize agentic workflows, including tool integration, multi-agent orchestration, and human-in-the-loop processes Integrate AI solutions with enterprise platforms (e.g., Slack, Salesforce, ServiceNow, Jira) Implement secure, scalable cloud architectures on AWS, following best practices for multi-account and multi-tenant environments Build and maintain CI/CD pipelines, infrastructure as code, and observability frameworks Collaborate cross-functionally with engineering, data, and business stakeholders to ensure successful delivery Scope, estimate, and deliver AI and cloud projects end-to-end Create key technical deliverables, including solution architecture documents, SOWs, runbooks, and handover documentation Present technical solutions and recommendations to both engineering teams and executive stakeholders (CTO, CIO, CDO) Requirements Skills & Qualifications 6+ years of production-grade software engineering experience (Python and/or TypeScript preferred) 3+ years in applied AI/LLMs, strong hands-on experience with Python, CI/CD, tool-calling, API agents, and related infrastructure skills. Proficiency in AI-assisted development tools (Kiro, Cursor, Claude Code) Strong understanding of distributed systems, event-driven architectures, and API design Experience with serverless architectures (AWS Lambda, SQS, SNS, Step Functions, EventBridge) Proficiency with Infrastructure as Code (Terraform and/or AWS CDK) Experience with CI/CD pipelines, containerized workloads (ECS/EKS), and observability tooling Hands-on experience building LLM-powered applications (prompt engineering, RAG, function calling, agentic workflows) Familiarity with AWS AI/ML services (Bedrock, SageMaker; AgentCore is a plus) Understanding of agent orchestration patterns: tool usage, multi-agent coordination, human-in-the-loop workflows, and stateful conversations Experience with agent frameworks (LangChain, LangGraph, CrewAI, Strands, or similar) Knowledge of embeddings, vector databases, and retrieval strategies Strong understanding of AWS architecture and security best practices Experience designing multi-account and multi-tenant environments Knowledge of IAM, SCPs, VPC endpoint policies, and data perimeter controls Familiarity with AWS data services (S3, DynamoDB, RDS, Kinesis, Glue, etc.) AWS certifications (Solutions Architect, ML Specialty) are a plus Experience integrating AI into enterprise platforms (Slack, Salesforce, ServiceNow, Jira, etc.) Familiarity with real-time communication protocols (SSE, WebSockets) Exposure to agent/UI frameworks (Vercel AI SDK, CopilotKit, AG-UI) Understanding of API gateway patterns, authentication flows, and audit/logging requirements Experience in customer-facing roles (workshops, architecture reviews, solution design) Ability to translate business problems into technical solutions Experience scoping, estimating, and delivering projects end-to-end Strong presentation skills for both technical and executive audiences Experience creating technical documentation and delivery artifacts Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. Role Overview We are seeking an experienced Senior Financial Systems Administrator to own, administer, and continuously enhance the Company's financial systems ecosystem, including NetSuite ERP and the full Planful platform. As the sole administrator for Finance systems, this individual will serve as the primary technical and functional expert responsible for the stability, performance, governance, and evolution of these platforms. This role requires a unique blend of financial systems expertise, technical capability, and strong business acumen to partner effectively with Accounting, FP&A, Treasury, Tax, and Finance leadership. The ideal candidate will proactively identify opportunities for automation and process improvement, lead system enhancements from requirements through deployment, and ensure finance teams across North America and Europe can effectively leverage technology to support planning, forecasting, reporting, consolidations, and financial operations. Key Responsibilities Financial Systems Ownership & Administration Serve as the sole administrator and subject matter expert for NetSuite ERP, ADRA, and the Planful platform. Own the day-to-day administration, configuration, security, governance, and performance of all finance systems. Manage and maintain all Planful modules, including: Structured Planning, Dynamic Planning, Consolidations, ADRA, Workforce Planning, Capital Planning, Forecasting and Budgeting, Reporting, Analytics and Dashboards Administer security roles, business rules, metadata, dimensions, workflows, and user access. Ensure data accuracy, system reliability, and operational excellence across all financial applications. Lead testing, validation, and deployment activities associated with upgrades, releases, and new functionality. Finance Partnership & Solution Delivery Partner closely with FP&A, Accounting, Treasury, Tax, and Finance Operations to understand business requirements and deliver effective solutions. Act as the primary liaison between Finance stakeholders and technical teams. Translate business needs into scalable system enhancements and process improvements. Lead the design, configuration, testing, and implementation of finance system solutions. Provide expert guidance on system capabilities, best practices, and process optimization opportunities. Process Improvement & Finance Transformation Drive continuous improvement initiatives across planning, forecasting, reporting, consolidations, and close processes. Identify opportunities to automate manual activities and improve efficiency, accuracy, and scalability. Lead finance systems enhancement projects from concept through implementation. Establish and maintain process documentation, system standards, and governance procedures. Champion best practices related to financial systems administration and finance technology. Data Management & Integrations Own the integrity and movement of financial data across NetSuite, Planful, and other enterprise applications. Monitor, troubleshoot, and resolve integration and data quality issues. Partner with IT and integration teams to design, implement, and improve data interfaces. Ensure consistent and reliable data flows across the finance technology landscape. Reporting & Analytics Develop, maintain, and optimize financial reports, dashboards, templates, and data models. Enable efficient financial reporting and analysis for business stakeholders and leadership teams. Improve reporting automation and usability across Finance. Ensure reporting consistency, transparency, and data accuracy. User Enablement Serve as the primary resource for Finance users requiring system expertise and guidance. Lead user training and adoption initiatives related to new functionality and process improvements. Create and maintain training materials, job aids, and system documentation. Foster strong relationships with Finance stakeholders across North America, Europe, and India. Requirements Skills & Qualifications 4+ years of experience administering financial systems in a corporate finance environment. Hands-on expertise with NetSuite ERP administration. Experience administering and configuring ADRA and Planful Consolidations & Planning modules. Proven ability to translate business requirements into effective technical solutions. Preferred Qualifications NetSuite SuiteScript, SuiteFlow, and SuiteAnalytics experience. Understanding of system integrations, data flows, and finance technology architecture. Experience with middleware and integration platforms. Experience leading finance system enhancements, implementations, and optimization initiatives. Strong knowledge of: FP&A processes, Budgeting and forecasting, Financial reporting, Consolidations, Accounting and close processes, Finance data management NetSuite and/or Planful certifications. Experience implementing planning, reporting, or consolidation enhancements. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of successful migrations and implementations across AWS and Salesforce, AllCloud helps businesses remain at the forefront of innovation through AI-led professional and managed services. As an AWS Premier and audited managed services Partner, AllCloud provides comprehensive cloud journey support, from migration and modernization to AI adoption and ongoing management. AllCloud serves clients globally across EMEA and North America. Role Overview We are seeking a Senior Machine Learning Engineer – AI & GenAI (AWS) to deliver client-facing AI and Generative AI engagements on AWS. This is a hands-on consulting and delivery role where you will own technical workstreams end to end and work directly with client architects, stakeholders, data scientists, ML engineers, and solution architects across the US and India. You will contribute across discovery and assessments, proof-of-concepts, AWS Migration Acceleration Program (MAP) engagements, production hardening, and staff augmentation. The role requires strong technical depth, excellent communication, independent decision-making, and the ability to operate effectively in ambiguous, fast-paced environments. Key Responsibilities Design, build, and deploy Generative AI applications on Amazon Bedrock, including RAG, document intelligence, summarisation, classification, and assistant-style solutions. Architect and implement agentic and multi-agent systems using Bedrock, AWS Step Functions, Lambda, and related AWS services. Build retrieval solutions using embeddings, hybrid keyword/vector search, Amazon OpenSearch, pgvector, relevance tuning, reranking, citation, and grounding. Own the Amazon SageMaker lifecycle, including feature engineering, training, tuning, model registry, deployment, MLOps, retraining, drift detection, and CI/CD. Build AI evaluation and observability frameworks using golden datasets, LLM-as-judge, regression testing, error taxonomies, tracing, and human-in-the-loop workflows. Implement AI guardrails, prompt-injection defences, PII handling, and responsible AI controls for regulated and data-sensitive use cases. Build and integrate AI data foundations using S3, Glue, Spark, Redshift, Athena, DMS, Kinesis, and Firehose. Design secure, multi-tenant, scalable, and cost-aware AWS architectures using IAM, Lake Formation, VPC, PrivateLink, API Gateway, EKS, ECS, Fargate, and Lambda. Define infrastructure as code using AWS CDK, CloudFormation, or Terraform and deliver through CI/CD. Estimate, monitor, and optimise AI and data workload costs, including model selection, token economics, caching, compute, and storage. Lead technical discovery, requirements sessions, architecture discussions, client presentations, and executive readouts. Contribute through code reviews, reusable accelerators, internal engineering patterns, and mentoring of engineers. Requirements Technical Requirements Generative AI & AWS: Hands-on experience with Amazon Bedrock, foundation models, RAG, Knowledge Bases, Guardrails, function calling, LLM gateways, and model selection based on quality, latency, cost, and data residency. Agentic AI: Experience building tool-using and multi-agent systems using Bedrock, Step Functions, Lambda, Bedrock Agents/AgentCore, Strands Agents SDK, and MCP. Retrieval & Search: Strong experience with Amazon OpenSearch, vector/hybrid search, embeddings, BM25, reranking, pgvector, and end-to-end RAG including document parsing, chunking, grounding, and retrieval evaluation. SageMaker & MLOps: Experience with SageMaker training, tuning, deployment, Model Registry, Pipelines, monitoring, drift detection, CI/CD, and fine-tuning open-weight models including LoRA. AI Evaluation & Responsible AI: Experience with golden datasets, LLM-as-judge, regression testing, prompt engineering, guardrails, prompt-injection protection, PII handling, human-in-the-loop workflows, and LLM observability. AWS Data Stack: Strong knowledge of S3, Glue, Spark, Redshift, Athena, DMS, Kinesis, Firehose, Aurora PostgreSQL, DynamoDB, QuickSight, and lakehouse technologies such as Iceberg/Delta Lake. AWS Architecture & Security: Experience with IAM, Lake Formation, VPC, PrivateLink, EKS/ECS/Fargate, Lambda, API Gateway, infrastructure as code, CI/CD, monitoring, and cost optimisation. Programming & Engineering: Expert Python with pandas, NumPy, scikit-learn, PyTorch, boto3, and pytest; strong SQL, Git, Docker, and Linux skills, with FastAPI/backend and Streamlit/React familiarity. Classical ML & NLP: Strong foundation in statistics, supervised/unsupervised ML, time-series forecasting, demand/supply planning, and NLP including classification, entity extraction, topic modelling, and free-text analysis. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, a related quantitative field, or equivalent demonstrated experience. 5–8+ years of experience in machine learning engineering, data science, or AI engineering, including at least 3 years of hands-on AWS experience. At least 1 year of production-grade Generative AI/LLM experience, including a system taken to production or a client-accepted POC that you can explain in architectural detail. Demonstrated experience working directly with external clients or business stakeholders and independently leading technical sessions. Experience working effectively across significant time-zone differences with strong self-direction and ownership. Excellent written and spoken English, with the ability to create clear architecture documentation and present to senior audiences. AWS Certified Machine Learning and Anthropic certification, held or committed to within 60 days of joining, as applicable. Preferred Qualifications AWS Certified Solutions Architect – Professional. Consulting, professional services, systems integrator, or AWS Partner experience, with familiarity with utilisation, scoping, and statement-of-work realities. Experience in healthcare/life sciences, financial services, insurance, manufacturing/supply chain, or compliance/legal technology. Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Strands Agents SDK, Bedrock AgentCore, or MCP server development. Experience with knowledge graphs, Amazon Neptune, GraphRAG, Snowflake, dbt, Apache Airflow, Databricks, Amazon Connect, or contact-centre AI. Open-source contributions, publications, conference talks, AWS Community Builder, or AWS Hero experience. Certification Requirements AWS Certified Machine Learning — Specialty or current designated AWS ML certification: Required (at hire or within 60 days) Anthropic certification: Preferred (at hire or within 60 days) AWS Certified Solutions Architect – Professional: Strongly Preferred AWS Certified Data Engineer – Associate, AWS Certified AI Practitioner, AWS Certified Security – Specialty: Advantageous Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

About BOT Consulting BOT Consulting is a venture studio for Global Capability Centers (GCCs). We partner directly with founders and global tech leaders to co-create their engineering capability, instead of acting like a traditional outsourcing agency or third-party vendor. We help global technology firms design, scale, and ultimately own their high-performance Centers of Excellence in India. About the role We are looking for a Talent Partner II to independently manage the end-to-end recruitment lifecycle across multiple technology and business requirements. The role requires strong expertise in sourcing, stakeholder management, hiring strategy, and closing niche and senior talent. The ideal candidate is highly execution-focused, comfortable with fast-paced hiring, and capable of coaching junior recruiters. Key Responsibilities Own the full recruitment lifecycle from requirement intake and sourcing through screening, interviews, offer closure, and joining. Partner closely with hiring managers and business stakeholders to understand requirements, priorities, timelines, and talent availability. Develop and execute role-specific sourcing and hiring strategies based on skill, seniority, location, and market availability. Build strong pipelines for niche, senior, and hard-to-fill roles across multiple technology domains. Source talent through LinkedIn, job portals, referrals, databases, networking, and other relevant channels. Drive hiring with a strong focus on speed, pipeline health, quality, and offer-to-join conversion. Conduct effective candidate screening and assess skills, experience, motivation, compensation, availability, and role alignment. Proactively identify hiring challenges and provide talent-market insights and alternative sourcing strategies to stakeholders. Manage multiple open positions simultaneously while maintaining clear priorities and hiring timelines. Maintain accurate recruitment data and use funnel metrics to identify bottlenecks and improve hiring outcomes. Build strong candidate relationships and ensure a positive candidate experience throughout the hiring process. Coach and guide junior recruiters on sourcing, screening, candidate engagement, and recruitment best practices. Contribute to improving recruitment processes, sourcing approaches, and overall team effectiveness. Requirements Required Skills & Qualifications 4–6 years of experience in Talent Acquisition / Recruitment, preferably within technology, consulting, or a fast-paced hiring environment. Proven experience managing the complete recruitment lifecycle independently. Strong stakeholder management and hiring-manager partnership skills. Hands-on experience hiring across multiple technologies and skill areas. Demonstrated experience in niche, senior, and difficult-to-fill hiring. Strong sourcing and talent-mapping capabilities across multiple channels. Ability to develop effective sourcing and hiring strategies based on market conditions. Strong communication, negotiation, influencing, and candidate engagement skills. Ability to manage multiple priorities and consistently deliver against time-sensitive hiring goals. Data-driven approach with an understanding of recruitment funnel metrics and hiring performance. Experience working with global stakeholders or distributed hiring teams. Exposure to hiring across different locations, talent markets, or GCC/consulting environments. Experience using ATS, LinkedIn Recruiter, recruitment analytics, and AI-enabled sourcing tools. Experience mentoring or coaching junior recruiters. Strong understanding of technology talent markets and emerging skills. Experience handling high-volume or fast-paced hiring with aggressive closure timelines. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Bettera Bettera is a higher-education-focused consulting and services company helping colleges and universities improve student, faculty and staff experiences through ServiceNow, better workflows and automation. About the Role We are looking for a Marketing Operations & Demand Generation Specialist to help run and strengthen our marketing engine. This is a hands-on role across HubSpot, email and nurture campaigns, paid media, audience management, events and reporting — ensuring campaigns reach the right higher-ed audiences and engagement turns into meaningful conversations. We're looking for someone who is organised, curious, comfortable with data and eager to experiment, learn and improve how campaigns perform. Key Responsibilities Marketing Operations & HubSpot Manage day-to-day marketing operations in HubSpot, including contacts, lists, forms, workflows, campaigns and lifecycle stages. Set up and maintain nurture and re-engagement workflows. Maintain CRM data quality through list cleanup, deduplication and field validation. Ensure campaign tracking, UTMs and attribution are correctly set up. Maintain simple dashboards and campaign reports. Campaign & Email Execution Execute campaigns from setup and audience creation through launch, monitoring and reporting with accurate process documentation. Build and schedule email campaigns and nurture sequences in HubSpot. Coordinate campaign timelines and assets across email, landing pages, social and other channels. Run A/B tests across subject lines, CTAs, messaging and audiences. Monitor campaign performance and make ongoing improvements based on engagement and conversion data. Repurpose existing Bettera content, case studies and thought leadership across nurture and campaign journeys. Paid Media Set up and manage paid campaigns across platforms such as LinkedIn Ads and Google Ads. Build and refine target audiences aligned with Bettera's higher-education ICP. Coordinate ad copy and creative requirements with the wider team. Monitor budgets, reach, CTR, CPC, conversions and lead quality. Track paid campaign performance through HubSpot and connect engagement to downstream outcomes. Identify opportunities to improve audiences, creative, messaging and spend. Lead Management & Audience Data Maintain Bettera's database of target higher-education institutions and relevant decision-makers. Support contact research, enrichment and validation using LinkedIn, Apollo and similar tools. Monitor engagement signals and identify contacts and institutions showing increased interest. Support lifecycle progression and ensure qualified leads are surfaced with the right context for follow-up. Maintain accurate audience lists and campaign segmentation. Event Marketing & Reporting Support marketing campaigns around higher-education conferences, webinars and other events. Build event registration, meeting-booking and follow-up workflows. Manage event-specific lists, email campaigns and paid promotion. Track engagement from pre-event outreach through post-event follow-up. Report on campaign performance across reach, engagement, conversions, lead quality and meetings. Surface simple recommendations on what should be repeated, changed or tested next. Requirements Skills & Qualifications Bachelor's degree in Marketing, Business, Communications, Digital Marketing or a related field. 3–6 years of experience in marketing operations, demand generation, digital marketing or campaign execution. Hands-on experience with HubSpot, including contacts, lists, forms, email campaigns and workflows. Experience executing or supporting paid digital campaigns, ideally LinkedIn Ads and/or Google Ads. Experience with email marketing, audience segmentation and nurture campaigns. Working understanding of campaign metrics, UTMs, conversion tracking and basic attribution. Comfortable working with data, spreadsheets and campaign reporting. Strong attention to detail and ability to manage multiple campaigns and deadlines. Good written and verbal communication skills. Good to Have Experience in B2B marketing, SaaS, consulting or technology services. Familiarity with LinkedIn Campaign Manager, Apollo or similar prospecting and enrichment tools. Basic understanding of account-based marketing, CRM lifecycle stages and lead scoring. Familiarity with SEO, landing pages or website analytics. Exposure to ServiceNow or enterprise technology. Experience marketing to universities, colleges or the broader higher-education sector. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Caylent Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About the Role We are seeking a talented Senior Engineer with hands-on experience to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise in building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. This role is suited for someone passionate about building robust, scalable solutions that drive business impact. The successful candidate will play a key role in the full software development lifecycle within the AWS ecosystem. This includes analyzing requirements, designing scalable solutions, writing clean and efficient code, integrating third-party systems, and ensuring performance and security best practices. The role involves close collaboration with cross-functional teams to ensure the delivery of impactful, user-friendly AWS cloud solutions across our diverse and innovative customer base. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Key Responsibilities: Infrastructure as Code (IaC): Design and implement scalable infrastructure using Terraform, CDK, or Pulumi to support cloud-native applications and services. Continuous Integration & Delivery (CI/CD): Develop, maintain, and optimize CI/CD pipelines to automate the deployment and testing of cloud solutions. Solution Engineering: Collaborate closely with customer engineering teams to implement cloud solutions as defined in the project backlog and architecture design. Custom Automation: Create and maintain custom automation scripts and utilities using Bash, PowerShell, or Lambda functions to streamline operations. Troubleshooting & Optimization: Investigate and resolve system, deployment, and integration issues across development, staging, and production environments. Mentorship & Knowledge Sharing: Guide, train, and mentor junior engineers on best practices in cloud development, security, and DevOps tooling. Requirements Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field. 4-6 years of experience as a Cloud Engineer, with a proven track record of delivering successful projects on the Cloud platform. Expert understanding of cloud infrastructure and implementing Infrastructure-as-Code (IaC). Expert understanding of working with, building CI/CD pipelines and GitOps methodology. Excellent knowledge of containerization, Kubernetes, or other container management platforms. Proficient in Networking and IAM security. Proficient with any of: Python, Go, C#, Node.js. Great understanding of Agile project delivery. Great verbal and written communication skills. Enthusiasm for working in a startup environment and the ability to be cross-functional. Possess a natural curiosity and excitement for learning new technology. Experience in some of the following: Migrations, CI/CD, IaC (Terraform, CloudFormation, AWS CDK, Pulumi, etc), Scripting, Containers (Kubernetes, Docker, ECS, Fargate, etc), Cloud Security Best Practices, Networking, Incident, release, problem and change management processes. Experience working in a client-facing environment. Experience working on agile projects. Consultancy/advisory experience. Willingness to work flexible shifts to support customers in different time zones. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io About the Role We are looking for a Senior Salesforce Consultant with 6+ years of experience to design, build, and deliver Salesforce solutions independently while contributing to solution design and integration workstreams. This role requires strong hands-on development skills along with the ability to engage in client discussions and guide junior consultants. Key Responsibilities: Develop and customize Salesforce solutions using Apex, Triggers, Async Apex, SOQL/SOSL, and Lightning Web Components (LWC). Configure and optimize automation using Flow Builder, Process Builder, Approval Processes, and Workflow. Build and support integrations using REST/SOAP APIs, and work with middleware/connected systems (e.g., SFMC, Workday, Postman for testing). Participate in solution designing sessions, providing technical input on feasibility and best-fit approaches. Support data migration activities and ensure data integrity during transitions. Contribute to user story grooming, providing effort estimates and identifying technical risks early. Guide and review the work of Consultant-level team members, providing technical mentorship. Prepare reports, dashboards, and validation rules to support business reporting needs. Requirements Skills & Qualifications 6+ years of hands-on Salesforce development and configuration experience. Strong command of Apex, Triggers, SOQL/SOSL, LWC, and Visualforce. Solid experience with Salesforce administration: Flow Builder, Process Builder, Approval Processes, Validation Rules, Formula Fields, Reports & Dashboards. Experience with REST API integrations; exposure to middleware/connected platforms (SFMC, Workday, Boomi, or similar) is a plus. Prior experience in client-facing or consulting engagements preferred. Bachelor's degree in Computer Science, IT, or related field. Salesforce Platform Developer I certification (mandatory); Platform Developer II or Admin certification preferred. Tools: Visual Studio Code, Workbench, Jira, Postman, Conga, Avalara, Docusign. Strong analytical and communication skills; comfortable working directly with business stakeholders. Exposure to solution designing and data migration practices. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options

About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io About the Role We are looking for a Business Application Administrator with strong Salesforce administration experience to support and enhance our internal business applications. The ideal candidate is a proactive problem solver who can translate business needs into scalable Salesforce solutions, troubleshoot complex issues, and ensure the overall health and reliability of the platform. This is a highly collaborative role that works closely with business stakeholders, supporting day-to-day operations while contributing to release readiness, quality assurance, and continuous platform improvements. Key Responsibilities Administer and enhance Salesforce using declarative configuration, with a strong focus on Flows, validation rules, page layouts, permissions, and automation. Serve as the primary point of contact for Salesforce support requests by triaging, investigating, and resolving business issues. Partner with stakeholders to understand business requirements, translate them into technical solutions, and identify root causes of system issues. Perform troubleshooting across Salesforce and integrated business applications to ensure reliable system performance. Execute and support Quality Assurance (QA) activities, including test planning, test execution, and validation of business processes before production releases. Support release management activities, including deployment validation, release readiness, and post-release verification. Monitor and maintain Salesforce organizational health by identifying configuration improvements, reducing technical debt, and ensuring platform best practices. Collaborate with cross-functional teams to support integrations with tools such as Slack, JIRA, and Professional Services Automation (PSA) platforms. Create and maintain system documentation, user guides, and standard operating procedures. Continuously identify opportunities to improve business processes, automation, and user experience. Requirements Required Qualifications 3–5 years of experience as a Salesforce Administrator or Business Application Administrator. Strong hands-on experience with Salesforce declarative development, particularly Salesforce Flows. Experience supporting Sales Cloud and Service Cloud environments. Proven troubleshooting and root cause analysis skills within Salesforce. Experience working directly with business stakeholders to gather requirements and provide technical solutions. Hands-on experience with Quality Assurance (QA), user acceptance testing (UAT), or release validation. Strong understanding of Salesforce security, profiles, permission sets, reports, dashboards, and data management. Excellent English proficiency both written and verbal, analytical thinking, and problem-solving skills. Preferred Qualifications Exposure to Account Engagement (Pardot). Familiarity with Slack, JIRA, and Professional Services Automation (PSA) tools such as Klient or Certinia formerly Financial Force. Direct administration experience is not mandatory and can be learned on the job. Salesforce Administrator Certification is preferred. What We're Looking For A strong troubleshooter who enjoys solving complex business problems. Someone who can bridge the gap between business users and technology. A collaborative professional who thrives in stakeholder-facing environments. Detail-oriented with a focus on platform quality, stability, and continuous improvement. Comfortable working in a fast-paced environment supporting business-critical applications. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Cloudsmith Cloudsmith is building the operating system for the modern software supply chain. We run a global, fully managed, multi-tenant SaaS platform that helps organizations, from startups to the Fortune 500, secure, govern, and distribute software artifacts at scale. Worldwide, our customers use Cloudsmith as a critical infrastructure control plane for CI/CD, developer workflows, security controls, compliance, and software distribution, supporting 30+ formats and ecosystems across languages, containers, and operating systems. We recently raised our Series C to accelerate Cloudsmith 2.0: deeper artifact intelligence, stronger policy and provenance, faster package-aware delivery, and infrastructure built for engineering teams, as well as the modern AI-driven software factory. By developers, for developers: we care about craft, architecture, and enterprise scale. About the Role We are building a team that is responsible for the developer experience. On a daily basis, we work with our customer and the developer community to ensure they are building software that is efficient and secure across the whole supply chain. Our team helps customers troubleshoot and investigate issues, diagnosing and resolving core product-related issues. We expand and enhance their experience through the development and maintenance of 3rd party integration that extends our API, CLI, and Webhook capabilities, while curating a public knowledge base to support customers to independently resolve common issues. Key responsibilities Technical Support: Provide top-notch technical support to our customers, assisting them with any product-related issues, inquiries, or challenges they may encounter. Problem Solving: Diagnose and troubleshoot technical issues, replicating them in local environments and collaborating closely with customers to identify root cause and provide effective solutions. Documentation: Create and maintain detailed documentation, including knowledge base articles and FAQs, to assist customers in resolving common issues independently. Software Expertise: Leverage your expertise in application programming to build and maintain third party integrations like Terraform, GitHub Actions, CircleCI etc. Customer Advocacy: Act as a customer advocate within the company, sharing customer feedback, feature requests, and insights with the product development team to improve our offerings. Working Hours Flexibility: Be prepared to work in shifts or on-call availability (over the weekends) to accommodate our global customer base across different time zones, including the AMER, APAC, and EMEA. Requirements Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 8+ years in Technical Product Support, a similar role, or a background in software development. Strong application programming experience, proficient in Java, Python, or JavaScript languages. Knowledge of software packaging and distribution concepts and tools. Excellent problem-solving and troubleshooting skills. An enthusiastic and effective communicator (using English): you should be able to appeal to and communicate with both technical and non-technical listeners alike. Ability to work independently and as part of a team. Willingness to work flexible shifts to support customers in different time zones. Preferred Skills & Certifications Professional experience in building, testing, deploying, debugging, and maintaining complex systems in production environments; or equivalent experience in open-source ecosystems and projects. Familiarity with UNIX-like systems (Linux/WSL/MacOS). Familiarity with Artifact and Package management, or the software supply chain. Familiarity with Cloud-based infrastructure, data structures & algorithms, storage systems, source control, and continuous integration. Amazon Web Services (AWS) / AWS Certifications. Significant contributions to open-source projects. ReST, GraphQL, gRPC API Design. Docker, OCI, ORAS, Kubernetes (k3s, k8s). Sigstore, Cosign, Keyless Signatures, Signature Attestation. Grafeas, Kritis, Metadata Provenance. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About Cloudsmith Cloudsmith is transforming how organizations manage software artifacts and secure their software supply chains. As a fully managed, multi-tenant SaaS platform, we enable organizations to build, secure, and distribute software with confidence. Built by developers for developers, Cloudsmith is the industry's leading artifact management platform, supporting over 30 package formats across programming languages, container technologies, and operating systems. Our platform combines enterprise-grade artifact management with vulnerability scanning, policy enforcement, and software supply chain security at global scale, serving startups through Fortune 500 organizations. Backed by leading investors and on an exciting growth journey toward IPO, Cloudsmith is building the critical infrastructure powering modern software delivery worldwide. About the Role We are looking for a Senior Customer Success Manager to manage and grow strategic enterprise customer relationships. This is a highly technical, customer-facing role requiring a strong understanding of DevOps, cloud-native technologies, CI/CD pipelines, and enterprise software delivery. As the trusted advisor for your customers, you will drive product adoption, maximize customer value, support renewals and expansion opportunities, and build long-term executive relationships. You will partner closely with Product, Engineering, Support, and Sales to ensure customers successfully integrate Cloudsmith into their software delivery ecosystem. This role is ideal for someone who enjoys solving complex technical challenges while building strategic customer partnerships. Key Responsibilities Customer Success & Account Management Own a portfolio of strategic enterprise accounts throughout the customer lifecycle. Develop and maintain Success Plans with measurable business outcomes and adoption milestones. Drive product adoption, customer health, and long-term value realization. Build trusted relationships with executive, engineering, platform, and security stakeholders. Conduct regular business reviews and provide strategic recommendations. Identify account risks early and coordinate mitigation plans across internal teams. Partner with Sales on customer renewals, upsell opportunities, and account expansion. Technical Customer Engagement Serve as a trusted technical advisor for enterprise customers. Guide customers on platform adoption, integrations, best practices, and software supply chain security. Investigate technical challenges alongside Engineering and Support teams. Communicate complex technical concepts clearly to both technical and business audiences. Help customers optimize their CI/CD workflows using Cloudsmith. Cross-Functional Collaboration Collaborate closely with Product, Engineering, Sales, Support, and Professional Services. Represent customer requirements and advocate for product improvements. Translate customer feedback into actionable product and process recommendations. Contribute to Customer Success playbooks, documentation, and scalable best practices. Monitor customer health metrics, platform usage, and adoption trends. Customer Onboarding & Adoption Partner with Onboarding Managers to ensure successful customer implementations. Support customers through technical integrations and adoption challenges. Develop adoption strategies that increase customer engagement and platform utilization. Capture and share customer success stories and best practices across the organization. Requirements Skills & Qualifications Experience 8+ years of Customer Success, Technical Account Management, Solutions Engineering, or related experience within SaaS, DevOps, Cloud Infrastructure, or Developer Tools. Proven experience managing strategic enterprise customer accounts. Experience supporting large, technically complex customer environments. Strong track record of driving customer adoption, retention, and expansion. Technical Skills Strong understanding of CI/CD pipelines, DevOps practices, Cloud-native technologies, Software supply chain security, Developer platforms and tooling. Ability to understand APIs, integrations, package management, and enterprise software architecture. Comfortable troubleshooting technical issues alongside engineering teams. Business & Customer Success Experience creating Customer Success plans with measurable business outcomes. Strong stakeholder management across technical and executive audiences. Ability to identify business risks and proactively develop success strategies. Experience supporting enterprise software adoption within large organizations. Communication & Leadership Excellent written and verbal communication skills. Ability to influence technical and executive stakeholders. Strong presentation and relationship-building skills. Collaborative mindset with experience working across Product, Engineering, Sales, and Support teams. Mentoring or leadership experience is an advantage. Preferred Qualifications Experience with one or more of the following is highly desirable: Artifact management platforms Software supply chain security Kubernetes Docker AWS, Azure, or Google Cloud GitHub, GitLab, or Bitbucket Jenkins, CircleCI, GitHub Actions, or similar CI/CD platforms Enterprise DevOps transformation initiatives Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About BOT Consulting BOT Consulting is a venture studio for Global Capability Centers (GCCs). We partner directly with founders and global tech leaders to co-create their engineering capability, instead of acting like a traditional outsourcing agency or third-party vendor. We help global technology firms design, scale, and ultimately own their high-performance Centers of Excellence in India. About the Role We are seeking an experienced Salesforce SalesOps Lead to drive the design, optimization, and scalability of Sales and Revenue Operations on the Salesforce platform. This role requires a strong understanding of sales and revenue processes, coupled with the ability to translate business requirements into efficient, scalable Salesforce solutions. The ideal candidate will have experience supporting complex B2B SaaS sales models, partnering with cross-functional stakeholders, and leveraging Salesforce to streamline business operations and enable revenue growth. Key Responsibilities Lead the design and optimization of Salesforce to support Sales and Revenue Operations. Partner with Sales, Revenue Operations, Finance, and Business Systems teams to understand business needs and implement scalable solutions. Translate sales and revenue processes into Salesforce workflows, automation, and system configurations. Support complex sales lifecycles, including opportunity management, renewals, expansions, forecasting, and revenue tracking. Design solutions for subscription and consumption-based business models. Ensure platform scalability, data integrity, governance, and operational excellence. Evaluate emerging Salesforce capabilities, including AI-powered features, to improve business efficiency. Requirements Skills & Qualifications 8+ years of experience working with Salesforce in Sales Operations, Revenue Operations, or Business Systems. Strong understanding of Sales and Revenue Operations processes, with the ability to operationalize them within Salesforce. Experience managing Salesforce in a B2B SaaS environment. Expertise supporting subscription and consumption-based business models. Strong understanding of complex deal structures, renewal and expansion processes, and revenue operations. Salesforce Sales Cloud Certification. Preferred Qualifications Experience with Salesforce AI capabilities, including Agentforce. Experience with CPQ, Revenue Cloud, or similar quote-to-cash solutions. Additional Salesforce certifications are a plus. Experience working in fast-paced, high-growth organizations. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About BOT Consulting BOT Consulting is a venture studio for Global Capability Centers (GCCs). We partner directly with founders and global tech leaders to co-create their engineering capability, instead of acting like a traditional outsourcing agency or third-party vendor. We help global technology firms design, scale, and ultimately own their high-performance Centers of Excellence in India. About the Role BOT Consulting is building the marketing and sales engine for scale — and this role is what makes it run. It is an execution role, someone who supports campaign delivery, runs ABM motions, operates the HubSpot system, coordinates with sales, and tracks how every motion connects to the pipeline. You will be expected to experiment, iterate, and build systems that get smarter over time. We are looking for an operator — curious, structured, hands-on, and experimental — who can move fast, build clean, and take full ownership of what they launch. You need the instinct to figure it out and the discipline to follow through. Key Responsibilities 1. Campaign execution Execute the full campaign lifecycle — from brief and audience setup through execution, tracking, and post-campaign reporting Run email marketing campaigns end-to-end: list segmentation, sequence setup, A/B testing, send scheduling, deliverability monitoring, and performance analysis Manage event-led marketing motions — pre-event contact tagging and invites, on-event engagement tracking, and post-event follow-up sequence activation Maintain a campaign calendar and ensure every campaign ships on time, on brand, and with proper attribution from day one Run post-campaign analysis — what worked, what did not. 2. Account-Based Execution Run campaigns — track signal data (opens, clicks, ad engagement, replies), identify what is underperforming, and adjust audience, message, or timing without waiting to be asked Coordinate ABM follow-through by flagging engaged accounts, surface warm signals, and ensure outreach is timed to account activity Maintain and expand the target contact universe — work with the research function to validate data quality and ensure lists are enriched, current, and ICP-matched before entering any campaign. Track ABM performance metrics — impression-to-engagement rate, account penetration, MQL attribution from ABM — and report monthly with clear recommendations 3. CRM Operations & Workflow Maintenance Maintain routing logic — how contacts move from one lifecycle stage to the next, what triggers each transition, and what disqualifies or delays movement Maintain nurture workflows — entry and exit logic, branching sequences, engagement-based triggers, and re-engagement flows for dormant contacts Maintain the lead scoring model — update scoring weights as ICP understanding evolves, add engagement signal and validate accuracy against pipeline data Execute the sales-marketing handoff — MQL routing, SQL acceptance, and lost-deal feedback loops — follow the process and flag exceptions. Document all workflow logic, SOPs, and system architecture decisions — maintain a living ops playbook that others can follow. 4. Research, Data Quality & Lead Intelligence Validate research outputs from the research function — check ICP fit, data completeness, and pipeline-readiness before contacts enter HubSpot Use data enrichment tools to enrich, verify, and qualify target accounts and contacts Maintain structured target account and contact lists — segmented by ICP tier, ecosystem, and engagement status Own data hygiene as a system, not a project — deduplication, lifecycle accuracy, list management, and CRM cleanliness maintained continuously 5. Reporting, Analytics & Insight Build and maintain dashboards in HubSpot covering pipeline health, campaign performance, ABM engagement, nurture funnel, and ICP visibility Produce weekly and monthly reports — but lead with insight and recommendation, not just numbers. Track how all GTM motions connect — identify where pipeline is coming from, what is converting, what is stalling, and what should change Evaluate and recommend tools across enrichment, ABM, intent data, and automation — efficiency, ROI, and stack fit. Maintain organised marketing folders, documentation, and repositories What Success Looks Like Campaigns ship on time, with proper tracking and attribution, every time ABM cohorts are live, segmented by ICP tier, and showing measurable engagement signals within 30 days HubSpot is the single source of truth — routing logic is clean, lifecycle stages are accurate, and no contact falls through the cracks Sales and marketing operate from shared definitions — MQL handoffs are clean, fast, and documented Every experiment has a hypothesis, a result, and a next action — not just an observation The Marketing Lead can answer what is in pipeline, what is warming up, what is stalling — in under 60 seconds. Requirements Must have experience 2–3 years in a B2B marketing ops, demand gen, campaign operations, or GTM operations role — agency or in-house Demonstrated experience running marketing campaigns and performance analysis Understanding of ABM principles — account tiering, persona-based outreach, and campaign coordination across channels Comfort working with data — can read a dashboard, identify what is wrong, and form a clear recommendation Some experience with research or prospecting workflows using LinkedIn, Apollo, or equivalent tools Skills & Traits Experimental mindset — forms a hypothesis before launching, tracks the result, and iterates based on what the data shows, not what feels right Supports campaign execution, surfaces relevant insights, and makes updates as required. Systems thinker — understands how routing logic, lifecycle stages, scoring models, and campaign sequences connect into a single operating system Analytically sharp — moves from data to diagnosis to recommendation without prompting Sales coordination instinct — knows when a lead is ready to hand off, how to brief sales, and how to follow up on what happened Self-directed and structured — builds clean processes without being chased, documents what was built, and keeps things running Agile and growth-oriented — comfortable building the system while the system is running; does not need everything to be defined before starting Clear communicator — can write a brief, document a workflow, and explain a recommendation without jargon Nice to have Experience with Marketing platforms — Influ2, 6sense, Demandbase, Marketo, HubSpot or equivalent HubSpot Academy certification or active self-learning welcomed in lieu of direct experience. Familiarity with intent data tools — Bombora, G2, or Crossbeam Exposure to GCC, IT services, or platform ecosystem environments (Snowflake, ServiceNow, AWS, Databricks, Salesforce) Experience with project management tools — Monday.com, Notion, Trello — for managing multi-channel campaign timelines Basic understanding of paid campaigns, SEO, or content distribution Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.