This role has closed. Jobgether has taken the posting down.
hirly last saw it live on 22 September 2026. See similar open roles below, or browse the live board.
Jobgether
Senior GTM Engineer
US
Similar open jobs
- GTM EngineerClasp Group · RemoteFirst seen todayremote
- Freelance GTM EngineerNordavo · IndiaFirst seen today
- Founding GTM EngineerClera · BerlinFirst seen today
- GTM EngineerSiro · New YorkFirst seen today
- GTM EngineerVocca · ParisFirst seen yesterday
- RevOps & GTM EngineerMycroft · TorontoFirst seen yesterday
- GTM EngineerMarqeta · Remote - USAFirst seen yesterdayremote
- Founding GTM EngineerTrunk Tools, Inc. · New York City HQFirst seen yesterdayremote
- GTM EngineerOllama · Palo AltoFirst seen yesterday
- GTM EngineerSageOx · Seattle, WAFirst seen yesterday
- GTM EngineerMonk · New York CityFirst seen yesterday
- Manager, GTM EngineeringUpGuard Inc. · SydneyFirst seen yesterdayremote
- Manager, GTM EngineeringUpGuard Inc. · Los AngelesFirst seen yesterdayremote
- GTM EngineerViktor · WarsawFirst seen yesterday
- GTM EngineerSequen AI · United StatesFirst seen yesterdayremote
hirly's read of this role
- Seniority
- Senior
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
Derived automatically from the posting.
the posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GTM Engineer based in United States.
This is a high-impact engineering role at the intersection of software development and go-to-market strategy. You’ll build production-grade systems that help Sales and Growth teams identify, prioritize, and engage high-potential accounts more effectively. The role combines engineering, data, automation, and experimentation to solve complex customer acquisition challenges. You’ll work directly with commercial leaders and teams to uncover workflow friction and turn business needs into scalable technical solutions. Your work will include internal tools, data pipelines, integrations, account signals, and automated workflows. The environment is fast-paced and ownership-driven, with significant autonomy to prototype, measure results, and turn successful experiments into durable systems.