(US) Product Owner – AI products & projects

Codvo.ai•Dallas, TX

32d

About The Position

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. 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.

Requirements

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 Haves

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).

Responsibilities

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.
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.
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.
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.
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.
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.