Senior AI Product Owner

Posted 2hrs ago

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Job Description

Senior AI Product Owner shaping production-grade LLM products for CodeRoad, a technology execution partner. Leading AI strategy, evaluation, cross-functional delivery, and enterprise compliance.

Responsibilities:

  • Define, prioritize, and drive production-grade AI use cases based on technical feasibility and business ROI
  • Translate raw requirements into user stories with robust acceptance criteria and edge-case coverage
  • Curate golden evaluation datasets with subject matter experts
  • Monitor hallucination risks and refine prompts, guardrails, and context retrieval systems
  • Lead sprint planning, backlog grooming, and release cycles across AI research, data engineering, frontend development, and DevOps teams
  • Balance product innovation, latency, and cloud consumption budgets
  • Direct technical workshops, product demos, and executive check-ins
  • Secure data privacy and governance sign-offs in compliance-sensitive enterprise environments
  • Track project milestones, manage LLM token costs and infrastructure dependencies, and maintain transparent risk logs
  • Protect system reliability and budget constraints

Requirements:

  • 4+ years of product ownership experience
  • Proven track record delivering modern software products
  • Hands-on experience shipping production LLM applications, such as AI agents, RAG architectures, document extraction, or conversational AI
  • Solid understanding of model evaluation methodologies, prompt engineering workflows, vector search, guardrails, and observability metrics including accuracy, token consumption, and latency
  • Experience crafting technical user stories, API requirements, and decision logs in Jira and Confluence
  • Demonstrated capability to interface with North American executive stakeholders
  • Ability to articulate complex technical trade-offs and navigate regulated business environments
  • Exceptional written and verbal C1+ English skills
  • Experience with Azure AI, LangChain, LlamaIndex, LLM observability platforms such as LangSmith, Phoenix, or Arize, or fintech/financial services environments is a strong plus

Benefits:

  • Continuous multi-project pipeline
  • Agentic AI tools and training
  • Coursera Enterprise
  • Studio practice labs
  • L1-L7 Career Framework
  • High-touch onboarding
  • Transparent leadership communication
  • Community recognition
  • Psychological safety
  • 100% remote work
  • Competitive pay in USD
  • Holidays off and paid time off
  • Health insurance assistance program
  • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks