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Senior AI Product Owner

Project Management Full-time Permanent Latin America

Job details

Not specified Salary
Latin America Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Own product direction and delivery for production AI applications, translating business goals into work that engineering teams can build, evaluate, and operate. The role combines product strategy, hands-on backlog management, cross-functional delivery, and stakeholder alignment in enterprise settings.

Responsibilities - Define and prioritize AI use cases using business value and technical feasibility; turn requirements into detailed user stories and acceptance criteria. - Establish evaluation practices with subject matter experts, including reference datasets and checks for hallucinations, retrieval quality, and guardrails. - Lead planning, backlog refinement, and releases across AI research, data engineering, frontend, and DevOps teams. - Run technical workshops, product demonstrations, and stakeholder reviews; coordinate data privacy and governance approvals. - Track milestones, infrastructure dependencies, reliability risks, and language model usage costs.

Requirements - At least four years of product ownership experience, including delivery of modern software products. - Hands-on experience shipping production applications using large language models, such as agents, retrieval-augmented generation, document extraction, or conversational systems. - Working knowledge of model evaluation, prompt design, vector search, guardrails, and operational measures such as accuracy, latency, and token use. - Experience writing technical user stories, API requirements, and decision records using tools such as Jira and Confluence. - Ability to lead discussions with North American executive stakeholders, explain technical trade-offs, and work in regulated environments. - Advanced English proficiency, at C1 level or above, for written communication and client workshops.

Nice to have - Familiarity with Azure AI, LangChain, LlamaIndex, or LLM monitoring tools such as LangSmith, Phoenix, or Arize. - Experience in financial services or fintech.

Benefits and work setup - Full-time or contractor engagement; the listing describes a fully remote U.S. contractor arrangement with pay in U.S. dollars. - Paid time off and holidays, plus assistance with health insurance. - Opportunity to work with U.S.-based clients and cross-functional teams on AI products.

Skills detected in the listing

Data EngineeringStakeholder ManagementAzureLLM
Detected Oct 16, 2026
Last verified Nov 12, 2026

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