[Hiring] Senior AI Product Owner @CodeRoad

Role Description

As an AI Product Owner at CodeRoad, you will anchor the discovery, strategy, and execution of cutting-edge AI-powered solutions for our enterprise client. You will lead a high-performing cross-functional POD—comprising AI research, data engineering, front-end development, and DevOps talent—shaping raw business requirements into robust, production-grade LLM applications. Working at the intersection of AI orchestration, enterprise data access, and strict compliance environments, you will establish what "good" looks like by driving feature scope, quality evaluation benchmarks, and system performance standards.

This role is critical to successfully delivering secure, highly compliant, and scalable AI agents and RAG implementations. By bridging the gap between non-technical business leaders and technical engineering teams, you will turn complex AI capabilities into tangible business ROI while managing project roadmaps, risk mitigation strategies, and cloud consumption budgets.

Qualifications

• 4+ years of hands-on experience as a Product Owner or Product Manager delivering software products, with direct experience shipping LLM-powered applications (e.g., AI agents, RAG architectures, document extraction, conversational AI).
• Deep understanding of LLM evaluation methodologies, prompt engineering workflows, guardrail implementations, and observability/telemetry metrics (accuracy, latency, token consumption).
• Strong technical depth to evaluate engineering trade-offs around model selection, data access patterns, vector search, and infrastructure security with AI and data engineers.
• Demonstrated experience operating within Agile environments utilizing tools like Jira and Confluence to document technical user stories, decision logs, and API/data requirements.
• Proven track record in client-facing consulting or senior stakeholder management, displaying an ownership mindset and executive-level delivery skills.
• Advanced English fluency (C1+ spoken and written) for seamless collaboration with North American client partners.

Requirements

• Experience building AI solutions within Financial Services or heavily regulated sectors subject to data privacy and information barriers.
• Hands-on familiarity with Azure AI ecosystem and the broader Microsoft enterprise data stack.
• Operational experience working with client-side Managed Service Providers (MSPs) and third-party IT outsourcers.
• Exposure to modern AI orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) and LLM observability tools (e.g., LangSmith, Phoenix, Arize).

Benefits

• 100% Remote work flexibility
• Holidays off aligned with your country’s calendar
• Paid Time Off (PTO)
• Health insurance assistance
• Competitive USD compensation
• Growth opportunities in a fast-scaling tech environment