CAW.Tech

About the Role

We are looking for a Cloud Product Owner who will drive the success of the InMotion Cloud platform by translating product strategy into clear, actionable direction for engineering teams. You will own the complete product lifecyclefrom market analysis and roadmap definition to launch and adoption optimization. This role demands a rare blend of technical depth, product thinking, and cross-functional leadership.

You will act as the voice of the customer in all product decisions, partner with engineering to deliver core cloud capabilities, and ensure alignment between technical architecture and business goals.

Responsibilities

• Product Strategy & Vision
• Be the functional and technical expert for how the product works, including underlying features that enable critical user journeys
• Research and analyze current product features and competitive landscape to define new capabilities that enhance sales and profitability
• Translate product strategy into detailed requirements, user stories, and prioritized backlogs
• Identify key pain points in cloud adoption (pricing complexity, performance, support, migration) and incorporate into roadmap
• Customer & Market Insights
• Gather and synthesize feedback from internal and external sources: customers, support, sales, and marketing
• Understand and evaluate current user experience, product usage patterns, and workflows
• Provide recommendations to improve experience and increase adoption
• Act as the primary liaison between engineering, sales, marketing, and support
• Execution & Delivery
• Work directly with engineering teams to deliver core cloud capabilities (compute, storage, networking, orchestration)
• Ensure alignment between technical architecture and customer-facing features
• Drive Agile product development processes: sprint planning, backlog refinement, release management, go-to-market (GTM)
• Analyze and report on team deliverables, milestones, impediments, and successes
• Support product launches, including internal enablement and external positioning
• Growth & Optimization
• Partner with marketing and sales to define messaging, packaging, and pricing strategies
• Track product adoption, usage metrics, and technical performance
• Continuously optimize the offering based on data and customer feedback
• Establish and maintain professional working relationships across all departments and sites

Requirements

• Experience & Knowledge:
• 3-5 years in an engineering leader, product management, or product ownership role, preferably in cloud, hosting, or infrastructure
• Strong understanding of cloud computing fundamentals (IaaS, virtualization, networking, storage)
• Experience working with technical teams in Agile/Scrum environments
• Ability to translate complex technical concepts into clear business value
• Strong analytical and problem-solving skills
• Experience preparing and presenting projections, estimates, and product/program performance reports
• A degree in software engineering, business, or a related field (or equivalent experience)

Skills & Abilities:

• Excellent written, verbal, and interpersonal communication skills
• Ability to communicate effectively across teams and departments
• Ability to work in a fast-paced, multi-faceted role, take initiative, and multi-task on complex projects
• Strong organizational skills with attention to detail
• Ability to meet deadlines and manage competing priorities

A Staff Engineer at CAW is a technical and people leader responsible for end-to-end project delivery and the growth of engineers. You own technical design (LLDs), contribute to HLD discussions, lead execution, ensure engineering best practices, and act as the primary technical point of contact for clients. You manage a set of engineers, supporting their career progression through mentorship, feedback, and performance development.

Responsibilities:

• Own Low-Level Design (LLD) and code quality; contribute to HLD discussions under guidance.
• Own end-to-end project delivery: requirements understanding, sprint planning, execution, risk management, and production readiness.
• Lead the project engineering team with clear technical direction, ownership, and execution accountability.
• Act as primary people manager for assigned engineers; own their career progression, mentorship, and growth.
• Provide regular 1:1s focused on skill development, feedback synthesis, and long-term career goals.
• Serve as primary technical point of contact for clients; build trust through clear communication and proactive problem-solving.
• Ensure best practices across architecture, implementation, testing, and production readiness.
• Establish disciplined AI usage across the team for design validation, reviews, testing, and documentation.

The core requirements for the job include the following:

Technical Expertise:

• In-depth knowledge of C#. NET languages and the DotNet Core Web API Framework.
• Strong SQL skills: complex queries, stored procedures, functions; PostgreSQL or SQL Server proficiency.
• Experience with Entity Framework or Dapper ORM.
• ReactJS/Angular frontend experience.
• Cloud, Agile, CI/CD, and DevOps environments.
• Solid grasp of SOLID Principles and OOPS Concepts.

Leadership and Ownership:

• Proven ability to own feature-level delivery end-to-end with minimal supervision.
• Strong people management skills with a track record of mentoring and developing engineers.
• Exposure to system design and architecture discussions.
• Production-first mindset with a focus on reliability, scalability, and operational excellence.

AI Systems and Engineering (Nice to Have):

• Advanced experience deploying RAG or agent-based systems with LangGraph orchestration.
• Expert-level mastery of async Python, system thinking, and building scalable backends.
• Design modular, maintainable multi-agent AI systems aligned with SOLID principles.
• Build high-concurrency, async Python backends for complex AI workloads with enterprise stability.
• Architect sophisticated agentic workflows using LangGraph with state persistence and error recovery.
• Design and optimize RAG pipelines: advanced chunking, hybrid search, and re-ranking.
• Collaborate on reusable AI components and internal frameworks to enhance team velocity.
• Authentication Providers (IdentityServer, Auth0 or equivalent).