Full-Stack Product Engineer: Own AI-Driven Systems

Sunset; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Sunset is hiring full-stack product engineers to own hard customer problems from the first product decision through reliable production systems. You’ll work across UX, frontend, backend, data, testing, observability, and iteration—not just one layer of the stack.

Roles span three areas: acquiring internal enterprise data, guiding dissolution, and building a de-identification pipeline. You do not need prior domain experience; placement will reflect your strengths and interests.

Qualifications

• Three+ years of professional software engineering experience.
• Strong full-stack engineer with excellent product and UX judgment.
• Experience in startups with broad ownership and evolving requirements.
• Ability to own ambiguous problems from discovery through production.

Responsibilities

• Own ambiguous customer or internal-team problems from discovery through measurable production outcomes.
• Build coherent vertical slices across frontend, backend, workflow state, data, testing, observability, security, and release.
• Make complex processes clear while exposing failure paths and recovery options.
• Diagnose difficult production behavior and implement durable fixes.
• Establish meaningful metrics to improve customer, team, quality, or reliability outcomes.
• Create reusable product and engineering capabilities to accelerate future work.
• Apply AI thoughtfully in development and evaluate outcomes.
• Collaborate with Product, Design, customers, domain experts, and other engineers.

Skills

Full-stack engineering

Product thinking

UX judgment

Ownership

System thinking

Tools

TypeScript/React/Node.js

Job description

Sunset is hiring full-stack product engineers to own hard customer problems from the first product decision through reliable production systems. You’ll work across UX, frontend, backend, data, testing, observability, and iteration—not just one layer of the stack.

Roles span three areas: acquiring internal enterprise data, guiding dissolution, and building a de-identification pipeline. You do not need prior domain experience; placement will reflect your strengths and interests.