AI-Native Product Engineer - Senior
Ernst and Young4 days ago
Base Salary
$107k - $201k/yr
Responsibilities
- Work directly with users and domain experts to identify workflows, friction, and opportunities for AI-enabled value.
- Translate product hypotheses into specifications, prototypes, and small releases that generate early evidence.
- Build end-to-end product slices across frontend experiences, services, data, AI behavior, and enterprise integrations.
- Design AI instructions, context, retrieval, structured outputs, tool use, and agentic patterns.
- Create representative tasks and automated evaluations for usefulness, correctness, safety, accessibility, and improvement.
- Instrument user journeys and connect adoption and task success to behavior, latency, failures, and cost.
- Implement permission boundaries, secure data handling, human checkpoints, graceful degradation, recovery, and rollback.
- Release incrementally, monitor live behavior, respond to incidents, and improve production quality and reliability.
- Balance experience, quality, speed, reliability, and cost while contributing reusable patterns to the broader platform.
Requirements
- 5+ years of relevant experience.
- Bachelor’s degree in a relevant field.
- Demonstrated end-to-end delivery of customer- or employee-facing software from concept through launch, learning, and adoption.
- Strong full-stack capability across modern frontend, backend, APIs, data, and cloud technologies.
- Hands-on experience building products with large language models, retrieval, tools, or comparable AI application patterns.
- Experience designing automated tests and behavioral evaluations for systems with variable or probabilistic outputs.
- Experience owning telemetry, debugging, reliability, incident response, recovery, and performance improvement for live services.
- Experience working directly with users, designers, and product leaders to improve product decisions.
- Strong engineering practices, including clear specifications, maintainable code, thoughtful review, and sound technical trade-offs.
- Preferred experience includes agentic products, enterprise identity and knowledge systems, permission-sensitive or regulated environments, accessible interaction design, production AI efficiency improvements, startup experience, or open-source contributions.
- Exceptional candidates from product, service design, operations, transformation, policy, domain, and entrepreneurial backgrounds are welcome; no particular degree or certification is required.
Benefits
- Hybrid office flexibility with up to 50% travel required.
- Medical and dental coverage, pension, and 401(k) plans.
- Paid time off under a flexible vacation policy, including EY holidays, winter and summer breaks, personal and family care, and other leaves of absence.
- Professional growth, personal fulfillment, and an inclusive culture.
Categories
AI ApplicationsProduct Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.