Product Owner - AI Projects (India) (Remote)

Codvo Private Limited; India; Remote; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Culture of innovation and collaboration

Opportunities for learning and growth

Job summary

A technology solutions company is seeking a Product Owner for AI products to lead the strategy, vision, and delivery of AI-native solutions. The ideal candidate will own the roadmap for complex AI platforms and engage with teams to ensure successful product launches. Minimum 2 years in AI/ML product development and familiarity with Azure OpenAI and agile project management are essential. Join a collaborative environment focused on innovation and data-driven impact.

Qualifications

• 2+ years of experience building or shipping AI/ML products.
• Practical exposure to LLMs and cloud AI services like Azure OpenAI.
• Proven agile delivery with design collaboration in Figma.

Responsibilities

• Define the vision and roadmap for AI-powered platforms.
• Lead backlog and sprint goals with cross-functional teams.
• Measure and iterate on product performance and user satisfaction.

Skills

Experience with AI/ML/GenAI products

Knowledge of prompt engineering

Agile delivery using Jira

Strong systems thinking

Education

MBA from Tier-1 institution

Degree in Engineering/Computer Science

Tools

Azure DevOps

Figma

Lucidchart

Word

Job description

Product Owner – AI products & projects

Experience: 6–8 years | Function: Product & Solutioning | Location: Remote

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.

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.