Sunset — GTM Engineer

Type: Full-time | On-site | New York City, NY (Dumbo, Brooklyn) Compensation: $175,000–$225,000 + Competitive equity Hiring count: 1 Visa sponsorship: None available Reports to: Founder

Sunset was founded to help founders — it began by supporting startups through winding down and shutting off, and has since expanded into unlocking a new revenue stream for businesses of all kinds. The insight underneath it: the data a company generates day to day (collaboration, communication, building) is some of the most valuable training data in the world, and the next generation of frontier models depends on real, proprietary data grounded in how actual businesses operate. Sunset is a primary source of that data, partnering directly with the frontier AI labs building what comes next.

The company has scaled from $0 to a multi-million run rate in a matter of months, doing multiple million in revenue in a single recent month. It works with essentially all of the frontier labs, frontier data labelers, and RL environment teams, and the team is more than doubling right now (roughly 14–15 additional engineers planned).

Founded: 2023 | Team size: 11–50 (Seed) | Backing: Floodgate, Afore, Ludlow, Hustle Fund (recently raised again) Industry: AI training-data / business-data (Contrario tags this "Legal Tech" — appears stale; role and About describe an AI-data business) Website: sunsethq.com Office: Dumbo, Brooklyn, NYC

• Ground-floor at a category-defining business: $0 multi-million run rate in months, backed by top-tier investors, recently raised again — a rare early seat.
• Direct line to the founder: you report directly to the Founder and own the GTM infrastructure end to end.
• Builder's seat close to revenue: every system you ship makes the whole GTM team faster and better — not back-office busywork.
• Early and high-impact: team more than doubling (~14–15 engineers planned); you shape the GTM engine from the start.

• No intake-call transcript captured on the Contrario page — an intake video is available but not transcribed. Summary pending if/when David reviews the video.

A builder's role that sits close to the revenue motion rather than back-office. You build and own the infrastructure, automations, and reporting that let AEs and SDRs spend their day sourcing and closing instead of doing the manual work around it. You do not need to be a software engineer by trade or have a CS background, but you must be able to build a lot, fast, and prove with real measurement whether what you shipped works.

• →Build enrichment and list-building pipelines that continuously surface and prioritize the right target companies for the AEs and SDRs
• →Stand up and maintain multi-channel outbound infrastructure and personalization (email, LinkedIn, phone) so reps execute at volume without manual setup or low-quality outreach
• →Own CRM integrations and data quality so pipeline and conversion data is trustworthy and where people need it
• →Build live reporting and dashboards so lead volume, conversion, and pipeline health are visible without anyone pulling data by hand
• →Constantly test new tools and automations, keep what works, cut what does not, and prove it with real measurement

Tech stack: AI coding assistant (Cursor, Claude Code, or similar), CRM integrations/configuration (Attio or similar), SQL, enrichment/orchestration platforms (e.g. Clay), LLM APIs

• Build enrichment and list-building pipelines to surface and prioritize target companies
• Stand up and maintain multi-channel outbound infrastructure and personalization across email, LinkedIn, and phone
• Own CRM integrations and data quality to ensure trustworthy pipeline and conversion data
• Build live reporting and dashboards for lead volume, conversion, and pipeline health visibility
• Test new tools and automations continuously with real measurement
• Work in-person 5 days a week from Dumbo office
• 3-5 years experience in GTM Engineering, RevOps, Marketing Ops, Sales Systems Engineering, or Growth Engineering
• Use AI coding assistant daily and ship working automations same day
• Fluent with CRM integrations and configuration like Attio
• Hands-on experience building enrichment pipelines, target lists, and outbound infrastructure
• SQL fluency and comfort maintaining CRM data models
• Relentlessly test and optimize with measurement to prove effectiveness

• 3-5 years in GTM Engineering, RevOps, Marketing Ops, or Growth Engineering with systems built end to end
• AI-native builder who lives in an AI coding assistant daily and can scaffold and ship a working automation the same day
• Hands-on track record building enrichment pipelines, target lists, and multi-channel outbound infrastructure
• Fluent with CRM integrations and SQL, comfortable owning data models and data quality (Attio or similar)
• Relentless tester who evaluates new tooling constantly and proves impact with real measurement, ideally from an early-stage build-from-scratch environment

• Seeks a work-life-balance environment; the culture is high-intensity and expects candidates who want to work hard and get after it
• Strategy or ops generalist who cannot actually build and ship systems hands-on
• Needs a mature stack and cannot operate without existing infrastructure or a fixed playbook
• Ships tooling without measuring whether it works, or cannot prove impact
• No CRM, enrichment, or outbound infrastructure experience to point to

• Salary — $175,000–$225,000
• Equity — Competitive equity
• On-site policy — On-site 5 days a week, Dumbo (Brooklyn) office
• Visa sponsorship — None available
• Employment type — Full-time
• Location — New York City, NY (Dumbo, Brooklyn)

(Contrario's Required Candidate Q&A on the submission form.)

1. LinkedIn
2. If you don't live in NYC, are you open to moving?
3. This role is onsite and in person. Are you willing to work from our Dumbo office Monday–Friday?
4. Why Sunset?

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Application Review — Application reviewed. Stage 3 — Initial Screen — Initial screen. Stage 4 — Technical Interview — Technical interview. Stage 5 — Take Home — Take-home assignment. Stage 6 — Onsite — Onsite. Stage 7 — References — Reference checks. Stage 8 — Offer — Offer extended. Stage 9 — Hired — Candidate accepts and starts.