--- title: 'Senior AI Product Owner at CodeRoad' canonical: 'https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan' type: 'job' last_seen: '2026-10-15' --- # Senior AI Product Owner at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4438474009 ## Job description AI Product Owner Location/Region Latin America | 100% Remote ## About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. ## About the Role 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. ## Key Responsibilities - Own the AI Product Backlog & Strategy: Identify, define, and prioritize AI use cases based on business value, technical feasibility, and data readiness, translating user needs into granular stories with rigorous acceptance criteria and edge-case handling. - Establish AI Quality & Evaluation Frameworks: Collaborate with business experts to curate golden evaluation datasets, review agent outputs, monitor hallucination risks, and iterate on prompts, guardrails, and context retrieval systems to sign off on release readiness. - Orchestrate Delivery Across Cross-Functional PODs: Anchor sprint planning, grooming, and release scoping with engineers and architects to balance rapid innovation with operational stability, cost control, and performance latency. - Drive Stakeholder & Compliance Alignment: Serve as the primary contact for client leadership, running workshops, conducting feature demos, and securing necessary data-privacy and governance sign-offs in compliance-sensitive environments. - Manage Project Operations & Risk Log: Proactively manage milestones, track cloud/LLM costs against budget, and maintain an updated risk register encompassing model drift, data latency, and infrastructure dependencies. ## Requirements - 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. ## Nice to Have - 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). ## What You’ll Love - 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 ## About CodeRoad ## Company Overview - **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model. - **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed) - **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008). - **Founded**: 2002 - **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture). ## Core Business - **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing. - **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software. - **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.” ## Products & Services - **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing. - **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS). - **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation. - **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders. ## Market Standing - **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds). - **Key Metrics**: - Client satisfaction rating: 4.8/5 - Client retention: over 80% of clients stay beyond 5 years - 20+ years of SDLC execution experience - Delivery footprint across 14 Latin American countries - **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed). - **Growth Signals**: - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.) - Expanding AI engineering and agentic workflow capabilities - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability ## Competitive Advantages - **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability. - **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency. - **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation. - **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits. - **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery. - **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards. ## Strategic Focus - Scaling the Velocity-as-a-Service model as the primary go-to-market offering. - Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines). - Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density. - Helping enterprise clients move from AI experimentation to measurable business outcomes. - Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability. ## Why Work Here - **Remote-first work model** – engineers can work from home across Latin America. - **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays. - **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement. - **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms. - **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation. - **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers. - **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams. ## Sources 1. [coderoad.com](https://coderoad.com/) 2. [coderoad.com/about-us](https://coderoad.com/about-us) 3. [coderoad.com/careers](https://coderoad.com/careers) 4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad) 5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc) ## Other roles at CodeRoad - [Mid Azure DevOps Engineer](https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States - [Senior Blazor / .NET Developer](https://feeny.ai/job/senior-blazor-net-developer-coderoad-latin-america-j9xd61rwjb8t) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-latin-america-c60n0aqprnjw) — Latin America - [Senior .Net/Blazor Developer](https://feeny.ai/job/senior-net-blazor-developer-coderoad-latin-america-t0hw8gt9jg2k) — Latin America - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-wmhr82dba3bp) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-5jkpmc3jr97e) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-j7yzbref9x03) — Latin America - [Senior .NET Engineer](https://feeny.ai/job/senior-net-engineer-coderoad-latin-america-fszypd2wpnn4) — Latin America - [Senior Agentic AI Engineer](https://feeny.ai/job/senior-agentic-ai-engineer-coderoad-latin-america-70cdthm40395) — Latin America