Product Owner - AI products & projects
Experience : 6-8 years | Function : Product & Solutioning
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Role Summary
You will own the vision, roadmap, and delivery of intelligent, AI-native products & solutions that turn complex enterprise workflows into simple, assistive experiences. You'll operate at the intersection of product strategy, applied AI / ML, Generative AI and platform engineering - translating cutting-edge capabilities into measurable business value.
Key Responsibilities
1) Define the Vision & Roadmap
- Own a problem-first roadmap for AI-powered platforms and assistants across priority journeys.
- Comprehensive market research & prioritize use cases with clear value hypotheses (efficiency, revenue, quality) and Revenue Roadmap.
2) UAT first development
Run structured discovery (persona, journey mapping, workflow time-and-motion).Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.3) Product Leadership
Lead backlog, sprint goals, and release planning with AI / ML, data, and platform engineering.Manage dependencies (data readiness, NFRs, MLOps, security, integrations) and unblock teams rapidly.4) Measure, Learn, Iterate
Define north-star & guardrail metrics : accuracy, latency, cost per request, containment, adoption, and satisfaction.Drive experimentation (A / B), prompt / model iterations, UX refinements, and policy updates.5) Bridge Business & Technology
Translate model behavior and system constraints into business-speak (value, risk, ROI).Create readable artifacts : PR / FAQ, release notes, change logs, and exec updates.6) Safety, Compliance & Observability
Partner with Security / Legal to enforce PII / PHI handling, data residency, SOC2 / ISO controls.Ensure traceability (prompt versioning, dataset lineage, evaluation reports) and human-in-the-loop in product thinking wherever needed.Must-Have Qualifications
2+ years building or shipping AI / ML / GenAI products & solutions (NLP, RAG / semantic search, recommendations, predictive, or automation).Practical exposure to LLMs, vector databases, prompt engineering, and cloud AI services (well familiar with Azure OpenAI, AWS Bedrock, GCP Vertex).Proven agile delivery using Jira / Confluence / Azure DevOps; design collaboration in Figma.Strong systems thinking with the ability to simplify complex workflows.Strong academic background + MBA (Tier-1) engineering / CS preferred.Nice to Have
Experience with agentic systems (tool-use, function calling, planners), prompt orchestration, and knowledge retrieval frameworks.Familiarity with enterprise integrations, APIs, and event-driven architectures.Understanding of MLOps / LLMOps (evaluation harnesses, offline / online tests, drift monitoring, canary releases).Familiarity with Skills & Tools
Product : Roadmapping, PRD / PR-FAQ, OKRs, KPI design, experimentation.AI / Tech : RAG patterns, embeddings, retrieval tuning, prompt / policy design, latency / cost trade-offs.Governance : Prompt / version control, LLMOps, evaluation dashboards.Collab : Azure DevOps, Figma, Lucidchart, PPT, Excel, Word, Git.