(US) Product Owner – AI products & projects

Codvo.ai; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A tech company specializing in AI products is seeking a Product Owner to drive the vision and delivery of AI-native solutions. The successful candidate will manage complex workflows and lead product strategy at the intersection of applied AI and platform engineering. A strong background in AI/ML development and agile methodologies is essential for this role, which is located in Dallas, Texas.

Qualifications

• 2+ years building or shipping AI/ML products & solutions.
• Practical exposure to LLMs and cloud AI services.
• Proven agile delivery experience.

Responsibilities

• Define the vision & roadmap for AI-powered platforms.
• Lead backlog, sprint goals, and release planning.
• Translate model behavior into business language.

Skills

AI/ML product development

Systems thinking

Agile methodologies

Education

MBA (Tier-1)

Degree in Engineering/Computer Science

Tools

Jira

Confluence

Azure DevOps

Figma

Job description

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
   1. Own a problem-first roadmap for AI‑powered platforms and assistants across priority journeys.
   2. Comprehensive market research & prioritize use cases with clear value hypotheses (efficiency, revenue, quality) and Revenue Roadmap.
2. UAT first development
   1. Run structured discovery (persona, journey mapping, workflow time‑and‑motion).
   2. Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.
3. Product Leadership
   1. Lead backlog, sprint goals, and release planning with AI/ML, data, and platform engineering.
   2. Manage dependencies (data readiness, NFRs, MLOps, security, integrations) and unblock teams rapidly.
4. Measure, Learn, Iterate
   1. Define north‑star & guardrail metrics: accuracy, latency, cost per request, containment, adoption, and satisfaction.
   2. Drive experimentation (A/B), prompt/model iterations, UX refinements, and policy updates.
5. Bridge Business & Technology
   1. Translate model behavior and system constraints into business‑speak (value, risk, ROI).
   2. Create readable artifacts: PR/FAQ, release notes, change logs, and exec updates.
6. Safety, Compliance & Observability
   1. Partner with Security/Legal to enforce PII/PHI handling, data residency, SOC2/ISO controls.
   2. 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.