Technical Product Manager, AI/ML Products
On-siteBengaluru, Karnataka, India
Job Summary
Define and own the product vision, strategy, roadmap, and release priorities for analytical, machine learning, and GenAI products. Partner with business stakeholders and end users to identify high-value problems, validate needs, and translate them into product requirements, epics, user stories, and acceptance criteria. Lead the end-to-end product lifecycle from discovery and business case development through MVP, pilot, production rollout, adoption, and value realization. Work with data science and engineering teams to shape ML-driven and GenAI-enabled solutions, including appropriate RAG-based use cases, with focus on usability, technical feasibility, and responsible deployment. Own the product backlog and delivery cadence; facilitate Agile ceremonies including sprint planning, backlog refinement, reviews, retrospectives, and release planning. Lead and coordinate a cross-functional product squad of approximately 4-5 team members, aligning dependencies across architecture, engineering, data, security, and business teams. Define product success metrics and monitor adoption, product performance, and business impact such as productivity, quality, cost, or cycle-time improvement. Communicate roadmap, progress, dependencies, risks, and realized outcomes to senior leaders and cross-functional stakeholders.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business/Technology Management, or a related field
- 3 - 5 years of experience in technical product management or product ownership
- demonstrated experience developing analytical or data products
- Experience delivering AI/ML products across discovery, development, launch, adoption, and continuous improvement stages
- Experience leading or managing a small cross-functional delivery team or squad of approximately 3 – 4 members
- Ability to create product strategies and roadmaps
- manage priorities
- develop business cases
- write clear requirements and user stories
- balance user value with technical feasibility
- Sound understanding of the machine learning product lifecycle
- data needs
- model performance considerations
- deployment dependencies
- product monitoring
- Working understanding of LLM-enabled applications
- embeddings
- vector search
- prompt considerations
- retrieval-augmented generation (RAG)
- evaluation fundamentals
- Working knowledge of AWS and Azure platforms
- how cloud data, analytics, and AI/ML services support product development and deployment
- Hands-on experience with Agile methodologies
- Scrum or Kanban practices
- sprint planning
- backlog refinement
- daily stand-ups
- sprint reviews
- retrospectives
- release planning
- Ability to guide a small cross-functional team
- resolve delivery blockers
- align dependencies
- foster ownership and accountability
- Ability to translate technical AI/ML concepts into business terms
- clearly communicate decisions, progress, risks, and value to technical and non-technical stakeholders
- Experience defining KPIs
- measuring adoption
- efficiency gains
- cost impact
- quality improvements
- cycle-time reduction
- other product outcomes
- Awareness of security
- data privacy
- model risk
- responsible AI
- governance considerations
- Experience with product delivery and collaboration tools such as Jira, Azure DevOps, Power BI, Confluence, or equivalent platforms
- Excellent English communication skills, both spoken and written
- Strong analytical, problem-solving, prioritization, and decision-making abilities
- Ability to collaborate effectively across product, business, technology, and governance teams
- No Travel
Desired Qualifications
- Agile, Scrum, Product Owner, or Product Management certification is preferred
- Experience with GenAI products or use cases is preferred
- familiarity with LLM-enabled applications
- RAG, MCP etc. concepts
- Awareness, Unity, Empowerment
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