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CodeRoad

Senior AI Product Owner

Latin America
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 8 October 2026.

Apply on the company's site →

About the role

Engagement Type: Full-Time / Contractor

CodeRoad's standard text

About CodeRoad

CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.

Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.

Why Build Your Career at CodeRoad?

High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.

Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.

Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.

High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.

Key Responsibilities

Own the AI Product Strategy & Backlog: Define, prioritize, and drive production-grade AI use cases based on technical feasibility and business ROI, translating raw requirements into user stories with robust acceptance criteria and edge-case coverage.

Establish AI Quality & Evaluation Frameworks: Partner with subject matter experts to curate golden evaluation datasets, monitor hallucination risks, and refine prompts, guardrails, and context retrieval systems to ensure high accuracy and production readiness.

Orchestrate Cross-Functional POD Delivery: Lead sprint planning, grooming, and release cycles across AI research, data engineering, frontend development, and DevOps teams to balance product innovation, latency, and cloud consumption budgets.

Drive Stakeholder & Compliance Alignment: Direct technical workshops, product demos, and executive check-ins while securing data privacy and governance sign-offs across compliance-sensitive enterprise environments.

Manage Risk & Cloud Operations: Proactively track key project milestones, manage LLM token costs and infrastructure dependencies, and maintain transparent risk logs to protect system reliability and budget constraints.

What You Bring

4+ Years of Product Ownership Experience: Proven track record delivering modern software products, with hands-on experience shipping production LLM applications (e.g., AI agents, RAG architectures, document extraction, conversational AI).

Deep AI & LLM Technical Literacy: Solid understanding of model evaluation methodologies, prompt engineering workflows, vector search, guardrails, and key observability metrics (accuracy, token consumption, latency).

Agile Ownership & Execution: Experience crafting detailed technical user stories, API requirements, and decision logs within Jira and Confluence to turn ambiguous ideas into tangible products.

Stakeholder Strategy & Client Leadership: Demonstrated capability to interface with North American executive stakeholders, articulate complex technical trade-offs, and navigate regulated business environments.

Advanced English Fluency: Exceptional written and verbal C1+ English skills to confidently lead cross-functional teams and international client workshops.

Bonus Technical Exposure: Experience with Azure AI, LangChain, LlamaIndex, LLM observability platforms (LangSmith, Phoenix, Arize), or fintech/financial services environments is a strong plus.

What You’ll Love

USA Contractor / 100% Remote

Competitive Pay (USD)

Holidays Off & Paid Time Off

CodeRoad's standard text

Health insurance assistance program

Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.

Ready to Build What Actually Ships?

Explore opportunities and submit your application today!

What this role asks for

Particular to this role

Jira · Prompt Engineering

Rare in CodeRoad's other 21 open postings.

In most of CodeRoad's ads

Azure

Named in most of its open postings, whatever the role.

58% of this description is written for the role. The rest is CodeRoad's standard text, folded away below.

Read against CodeRoad's other open postings on this site.

The team: CodeRoad HIRES STEADILY

This role is one of 22 open in CodeRoad. 8 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Azure (14 of 22), CI/CD (13 of 22), Python (11 of 22), REST (11 of 22), AWS (10 of 22), SQL (9 of 22), LangChain (8 of 22)

OTHER ROLES ON THIS TEAM

From the team and dates on CodeRoad's own job board.

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