AI Product Engineer Manager — End-to-End, User‑Driven

EY; Cincinnati (OH); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY is seeking an experienced product engineer to turn emerging AI capabilities into durable products. You’ll own end-to-end slices, from user conversations to prototypes and secure services, balancing speed with accessibility and maintainability.

As part of Challenger, you’ll shape AI behavior, instrument outcomes, and collaborate across product, design, platform, and control teams, while traveling up to 50% and working in a hybrid capacity.

Qualifications

• 7+ years of relevant and applicable experience.
• Bachelor’s Degree in a relevant field of study.
• End-to-end delivery: from concept through launch, learning and adoption.
• Technical breadth across frontend, backend, API, data, and cloud technologies.
• Applied AI experience with large language models, retrieval, tools, or similar patterns.
• Evaluation experience with automated testing and behavioral evaluation.
• Live-service ownership: telemetry, debugging, reliability, incident response, recovery, performance.
• User-centered practice: working with users, designers and product leaders to turn evidence into decisions.
• Engineering craft: clear specifications, maintainable code, thoughtful reviews, and sound trade-offs.
• Role requires up to 50% travel and hybrid office presence.

Responsibilities

• Start with the user: understand workflows with users and domain experts.
• Test assumptions quickly: turn hypotheses into specs, prototypes, and small releases.
• Own complete product slices: build coherent verticals across experience, services, data, AI behavior, and integrations.
• Shape AI behavior: design instructions, context, retrieval, outputs, and tool use.
• Build the evidence system: create tasks and automated evaluations to show usefulness, correctness, safety, accessibility, and improvement.
• Connect outcomes to behavior: instrument journeys to relate adoption to system behavior, latency and cost.
• Engineer for responsible use: secure data handling, human checkpoints, graceful degradation, rollback.
• Own production quality: release incrementally, monitor live behavior, respond to incidents, improve.
• Make practical trade-offs: balance experience, quality, speed, reliability and cost.
• Contribute reusable patterns: share components and evaluation assets with the platform.

Skills

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking an experienced product engineer to turn emerging AI capabilities into durable products. You’ll own end-to-end slices, from user conversations to prototypes and secure services, balancing speed with accessibility and maintainability.

As part of Challenger, you’ll shape AI behavior, instrument outcomes, and collaborate across product, design, platform, and control teams, while traveling up to 50% and working in a hybrid capacity.