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(US) Product Owner – AI products & projects
Codvo.aiUnited Statesfull_timeVerifiedPosted 20 Nov 2025
About the role
Product Owner – AI products & projectsExperience: 6–8 years | Function: Product & Solutioning
Key Responsibilities1) 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.
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.
Key Responsibilities1) 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.
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