Senior AI Product Owner

1 day, 2 hours ago
Full-time
Mid Level
Artificial Intelligence and Machine Learning
CodeRoad

CodeRoad

CodeRoad is a software development company that specializes in turning ideas into reality. With a team of over 100 experts, we offer a range of services including product management, creative design, development, quality control, and project management...

Internet Software & Services
51-250
Founded 2002

Description

  • Own and prioritize the AI product backlog based on business value, technical feasibility, and data readiness.
  • Translate user needs into detailed product stories with acceptance criteria and edge-case handling.
  • Develop AI quality and evaluation frameworks, including golden datasets, output reviews, hallucination monitoring, prompts, guardrails, and retrieval systems.
  • Coordinate sprint planning, backlog grooming, and release scoping across AI research, data engineering, frontend, and DevOps teams.
  • Manage stakeholder workshops, feature demonstrations, and client leadership communication.
  • Secure data privacy, governance, and compliance approvals in sensitive environments.
  • Track project milestones, cloud and LLM spending, delivery risks, model drift, data latency, and infrastructure dependencies.
  • Define and monitor system performance standards, including accuracy, latency, and token consumption.
  • Translate complex AI capabilities into business outcomes and measurable client value.

Requirements

  • 4+ years of experience as a Product Owner or Product Manager delivering software products.
  • Direct experience shipping LLM-powered applications such as AI agents, RAG systems, document extraction, or conversational AI.
  • Strong knowledge of LLM evaluation methods, prompt engineering, guardrails, and observability metrics.
  • Technical understanding of model selection, data access patterns, vector search, and infrastructure security.
  • Experience working in Agile environments with Jira and Confluence.
  • Client-facing consulting or senior stakeholder management experience.
  • Advanced English fluency at C1+ level, written and spoken.
  • Experience in Financial Services or other regulated industries (preferred).
  • Familiarity with Azure AI and the Microsoft enterprise data stack (preferred).
  • Exposure to MSPs, AI orchestration frameworks such as LangChain or LlamaIndex, and observability tools such as LangSmith, Phoenix, or Arize (preferred).

Benefits

  • 100% remote work from Latin America.
  • Competitive compensation paid in USD.
  • Paid time off and country-aligned holidays.
  • Health insurance assistance.
  • Growth opportunities in a scaling technology environment.

Interested in this position?

Apply directly on the company website

Apply Now

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