---
title: 'Full-Stack Product Engineer at Sunset'
canonical: 'https://feeny.ai/job/full-stack-product-engineer-sunset-new-york-dj4a73d25w0d'
type: 'job'
last_seen: '2026-09-04'
---

# Full-Stack Product Engineer at Sunset

- **Company:** Sunset
- **Location:** New York, NY
- **Employment:** full-time
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/sunset/7f6d07b5-17d0-40d4-be02-bf49ba9c56da

## Job description

## ABOUT SUNSET

At its core, Sunset was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses.

In 2025, we had a unique insight: the data every company generates each day through collaboration, communication, and building is some of the most valuable training data in the world. Public and synthetic data can only get frontier models so far, so the next generation of model progress depends on real, proprietary data grounded in how actual businesses operate. We are a primary source of it, partnering directly with the frontier AI labs building what comes next.

## WHY JOIN SUNSET NOW

- We have scaled from $0 to a multi-eight-figure run rate in a matter of months
- We have raised from top-tier investors, including Floodgate, Afore, Ludlow, and Hustle Fund
- We are small enough that you will carry outsized responsibility and grow as quickly as the company does
- You will partner with and build for some of the fastest and most important companies in the world
- You will help build a massive, category-defining business from the ground floor

## THE ROLE

We're 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 pipeline that makes sensitive data safe and useful. You do not need prior experience in these domains. Each opening is tied to a real area of ownership, and we will be clear early in the process about which current opening appears most relevant to your experience.

## WHAT YOU'LL DO

- 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

## PROBLEMS YOU MIGHT OWN

The common thread across our product is turning difficult, failure-prone work into software people can understand and trust. These areas share one Full-Stack Product Engineer title and hiring bar, but they represent distinct work and ownership. You do not need to choose one when applying. We will discuss the most relevant current opening early, and the placement-specific portion of the interview will reflect that work.

BRING FRAGMENTED ENTERPRISE DATA INTO ONE TRUSTWORTHY SYSTEM

Customers need to bring internal work data out of many SaaS tools, APIs, files, and export processes. Build the product that takes them from “our data lives over there” to a successful, verified transfer. You might design provider-specific export journeys, model long-running transfer state, make failures and recovery understandable, or build contracts, fixtures, and acceptance tests that keep every new source from becoming a one-off. This also means maintaining clear provenance and health across every handoff.

HELP COMPANIES NAVIGATE DISSOLUTION FROM START TO FINISH

Build the software that helps a company wind down its operations responsibly. The product spans onboarding, forms, documents, auctions, permissions, government obligations, operational closeout, and the exceptions that appear along the way. You might model durable workflow state, generate or parse documents, reconcile conflicting information, design a safe team intervention, or make a consequential next step clear to a customer. The challenge is keeping the whole journey understandable and recoverable when reality deviates from the expected path.

MAKE THE DE-IDENTIFICATION PIPELINE UNDERSTANDABLE AND TRUSTWORTHY

Our pipeline turns sensitive enterprise data into de-identified datasets without losing useful structure and meaning. Build tools that show what ran, surface what was missed or changed incorrectly, and support delivery decisions. You might seed synthetic data with subtle failures, replay past defects, construct golden examples, combine deterministic checks with bounded model-based judges, or design investigation interfaces that reveal what no single metric can. The goal is evidence the team can interrogate and trust.

## WHAT SUCCESS LOOKS LIKE

- You ship complete product improvements that customers and the team trust and use
- The customer, team, quality, or reliability outcome you set out to improve moves meaningfully from its baseline
- Complex system state becomes understandable, failures become recoverable, and recurring problems receive durable fixes
- Manual effort, support burden, and repeated work decline as the product improves
- What you build creates reusable leverage for later work, including responsible and verified uses of AI

## YOU MIGHT THRIVE HERE IF

- You have at least three years of professional software engineering experience
- You are a strong full-stack engineer with excellent product and UX judgment
- You have worked in a startup and enjoy broad ownership, changing context, and building without fully specified requirements
- You have owned ambiguous problems from discovery through implementation, production operation, and iteration
- You can make complex workflows clear while reasoning carefully about state, data integrity, testing, security, observability, and recovery
- You use evidence to debug systems and measure whether your work improved the outcome
- You use modern AI engineering tools fluently, verify their output, and understand how to evaluate AI product behavior
- You communicate clearly across technical and customer-facing teams

THIS ROLE MAY NOT BE FOR YOU IF

- You want to work exclusively in one layer of the stack
- You need a clean handoff between product definition, design, and engineering before you begin
- You prefer predictable feature work over ambiguous product and systems problems
- You do not want AI tools to be part of your daily engineering workflow

## BONUS

- Strong TypeScript, React, Node.js, or comparable full-stack experience
- Experience with integration-heavy SaaS, APIs, OAuth, uploads, files, or asynchronous workflows
- Experience with document workflows, internal tools, evaluation systems, data quality, or production diagnosis
- Experience building high-fidelity, resettable simulation or evaluation environments using synthetic data, seeded failure modes, multi-step state, and programmatic verifiers to test data or AI systems
- Experience with multi-tenant, compliance-sensitive, or otherwise high-trust products
- Experience shipping trustworthy AI-assisted workflows

## About Sunset

## Company Overview
- **One-liner**: Sunset is the first purpose-built platform that handles all legal, tax, and operational work to wind down venture-backed startups cleanly and quickly.
- **Entity Type**: Private (Pre-Seed & Venture funded)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023
- **Founders**: Brendan Mahony (Founder & CEO)

## Core Business
- **Primary Industry**: Startup wind-downs / Dissolution services (legal, tax, and operational)
- **Target Customers**: B2B; founders and investors of venture-backed startups that are shutting down
- **Mission/Purpose**: To give founders the freedom to find what's next by removing the burden of the shutdown process.

## Products & Services
- **End-to-End Wind-Down Platform**: A fully managed service combining a purpose-built software platform with a dedicated team (attorneys, CPAs, Client Success leads) to handle legal, tax, and operational tasks. This includes state withdrawals, asset monetization (selling, auctioning, licensing IP), investor distributions (building waterfalls, collecting banking info, executing capital redistribution), and filing all final federal and state tax returns. [sunsethq.com](https://sunsethq.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric (Funding)**: **$7.9M** total funding across two rounds:
    - Pre-Seed (Jan 2024): **$1.5M**
    - Venture Round (May 2025): **$6.4M** [linkedin.com](https://www.linkedin.com/company/sunsethq)
- **Key Metric (Scale)**: Has helped **over 175+** venture-backed startups shut down; has redistributed **hundreds of millions of dollars** back to investors. [builtin.com](https://builtin.com/company/sunset-0), [sunsethq.com](https://sunsethq.com/)
- **Notable Investors/Partners**: Backed by Y Combinator and some of the world’s best entrepreneurs and investors. [sunsethq.com](https://sunsethq.com/about)
- **Growth Signals**: 11 employees with +13.9% YoY headcount growth; active job postings for Data Engineer, ML Engineer, and Client Success Manager. [linkedin.com](https://www.linkedin.com/company/sunsethq)

## Competitive Advantages
- **Category-Defining Platform**: Sunset is the first company to build a dedicated, integrated platform (software + expert team) specifically for startup wind-downs, solving a problem that was previously handled ad-hoc by generalist lawyers and accountants.
- **End-to-End, Fully Managed Service**: They handle every aspect of the dissolution—legal, tax, asset monetization, and capital distribution—in one place with one fee, saving founders months of time and significant personal cost.
- **Deep Founder Empathy**: Founded by Brendan Mahony after his own painful, 7-month dissolution experience. This mission-driven origin creates a strong, empathetic culture focused on helping founders during a difficult time. [sunsethq.com](https://sunsethq.com/about)
- **Strong Traction with Top-Tier Clients**: Having served over 175 venture-backed startups and redistributed hundreds of millions to investors, they have built significant credibility and trust in the startup ecosystem.

## Strategic Focus
- **Scaling the Platform**: Investing in engineering (Data Engineer, ML Engineer roles) to further automate and streamline the wind-down process.
- **Deepening Service Offerings**: Continuing to refine the legal, tax, and asset monetization workflows to ensure the fastest, most efficient, and highest-value return for investors.
- **Becoming the Standard**: Establishing Sunset as the default, go-to service for any venture-backed startup facing a shutdown, thereby creating a standard for an industry that previously had none.

## Why Work Here
- **High-Impact Mission**: Employees directly help founders through one of the most difficult moments of their careers, providing closure and allowing them to move on. The work is deeply meaningful and has a tangible, positive impact on people’s lives.
- **Strong Values-Driven Culture**: Core values include "Carry each other," "Be the painkiller," "Make it world-class," "Swing big, learn fast," and "Keep your promises," fostering a supportive, empathetic, and high-performance environment. [sunsethq.com](https://sunsethq.com/careers)
- **Growth Stage Company**: As a small but growing team (11 people), employees have outsized impact and ownership. The company is generating revenue and has raised significant funding, indicating a strong trajectory.
- **Work Environment**: On-site in New York City with an open-door policy, open office floor plan, and an engineering team that utilizes pair programming. [builtin.com](https://builtin.com/company/sunset-0)
- **Benefits**: Offers company equity, generous PTO (unlimited policy), paid holidays, and health/vision/dental insurance. [builtin.com](https://builtin.com/company/sunset-0)
- **Tech Stack**: Modern and robust, including JavaScript, TypeScript, Ruby on Rails, React, Remix, PostgreSQL, Redis, and Azure. [builtin.com](https://builtin.com/company/sunset-0)

## Sources
1. [sunsethq.com](https://sunsethq.com/)
2. [sunsethq.com/careers](https://sunsethq.com/careers)
3. [sunsethq.com/about](https://sunsethq.com/about)
4. [linkedin.com/company/sunsethq](https://www.linkedin.com/company/sunsethq)
5. [builtin.com/company/sunset-0](https://builtin.com/company/sunset-0)

## Other roles at Sunset

- [Security Lead](https://feeny.ai/job/security-lead-sunset-new-york-6vgygry650b6) — New York, NY
- [Platform Engineer](https://feeny.ai/job/platform-engineer-sunset-new-york-tjxkj0jzd1ts) — New York, NY
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-sunset-new-york-4hpwv6ybfsk5) — New York, NY
- [Engineering Manager](https://feeny.ai/job/engineering-manager-sunset-new-york-e0vrwgg97akb) — New York, NY
- [Design Engineer](https://feeny.ai/job/design-engineer-sunset-new-york-nj7k67c09en7) — New York, NY
- [Data Scientist](https://feeny.ai/job/data-scientist-sunset-new-york-9rqm51n50pf9) — New York, NY
- [AI Product Engineer](https://feeny.ai/job/ai-product-engineer-sunset-new-york-n8f4zqtcafxf) — New York, NY
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-sunset-new-york-r3wr42whx92v) — New York, NY
- [Growth Marketer](https://feeny.ai/job/growth-marketer-sunset-new-york-rs2h7qxaev58) — New York, NY
- [Business Development Representative, Data Partnerships](https://feeny.ai/job/business-development-representative-data-partnerships-sunset-new-york-jhpb75y5za0p) — New York, NY