4 days ago
New York, NY, USAMid Level
Responsibilities
- Own ambiguous customer or internal-team problems from discovery through measurable production outcomes.
- Build complete vertical slices across frontend, backend, workflow state, data, testing, observability, security, and release.
- Make complex processes understandable while preserving exceptions, uncertainty, and recovery paths.
- Diagnose difficult production behavior and eliminate recurring root causes.
- Establish measurements and improve customer, team, quality, or reliability outcomes.
- Create reusable product and engineering capabilities that make future 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.
- Build enterprise data transfer journeys, dissolution workflows, or de-identification pipeline investigation and evaluation tools.
Requirements
- At least three years of professional software engineering experience.
- Strong full-stack engineering skills with excellent product and UX judgment.
- Startup experience and comfort with broad ownership, changing context, and incomplete requirements.
- Experience owning ambiguous problems from discovery through implementation, production operation, and iteration.
- Ability to reason about workflow state, data integrity, testing, security, observability, and recovery.
- Ability to use evidence to debug systems and measure improvements.
- Fluent use of modern AI engineering tools, including verification of their output and evaluation of AI product behavior.
- Clear communication across technical and customer-facing teams.
- Bonus: strong TypeScript, React, Node.js, or comparable full-stack experience.
- Bonus: experience with integration-heavy SaaS, APIs, OAuth, uploads, files, asynchronous workflows, document workflows, internal tools, evaluation systems, data quality, or production diagnosis.
- Bonus: experience with multi-tenant, compliance-sensitive, high-trust products or trustworthy AI-assisted workflows.
- Bonus: experience building resettable simulation or evaluation environments using synthetic data, seeded failure modes, multi-step state, and programmatic verifiers.
Tech Stack
Categories
Full StackProduct Engineering
About Sunset
We help tech companies shut down. From state withdrawals to liquidations, we save founders thousands of dollars, hundreds of hours, and countless headaches when it comes to winding down their operations.