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Senior AI Product Owner

Job not on LinkedIn

🕒 3 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

Where this job comes from

Posted on CodeRoad's careers page, not through a job board

First seen by Remote Rocketship 3 days ago

Still open on CodeRoad's site. Checked 1 hour ago.

Logo of CodeRoad

CodeRoad

1 - 10 employees

📚 Education

☁️ SaaS

Education • SaaS

CodeRoad is a comprehensive online training program that teaches JavaScript and front-end web development from zero to a Junior Front-End Developer level. Created and taught by Mateusz Choma, the course includes 175+ hours of video lessons, hands-on code examples in an in-browser editor, and covers HTML, CSS, JavaScript, React and Redux, plus community Q&A and optional one-on-one mentoring. The platform is self-paced and accessible 24/7, aimed at individuals seeking to start a career in front-end development.

📋 Description

• 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

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