AI-Driven Full-Stack Product Engineer

Doist; New York (NY); On-site; USD 130,000 - 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 will work across UX, frontend, backend, data, testing, observability, and iteration—not simply one layer of the stack.

We have opportunities across three connected product areas: acquiring internal enterprise work data from the systems where it lives, guiding companies through dissolution, and building the product layer around a de-identification

Qualifications

• Three+ years of professional software engineering experience.
• Strong full-stack engineering with product and UX judgment.
• Experience in a startup 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 complicated processes clear without hiding exceptions, uncertainty, or recovery paths
• Diagnose difficult production behavior and remove recurring root causes
• Establish useful measurements and improve customer, team, quality, or reliability outcomes
• Create reusable product and engineering capabilities that make later work faster and safer
• Use AI deeply in development and where it improves the product, with explicit evaluation and verification
• Work directly with Product, Design, customers, domain experts, and other engineers

Skills

Full-stack engineering

UX judgment

Startup experience

Ambiguity ownership

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 will work across UX, frontend, backend, data, testing, observability, and iteration—not simply one layer of the stack.

We have opportunities across three connected product areas: acquiring internal enterprise work data from the systems where it lives, guiding companies through dissolution, and building the product layer around a de-identification