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HubSpot logo
HubSpot

The easy-to-use CRM to scale your business.

Senior GTM Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2006H1B SponsorCompany SiteLinkedIn

Location

Ireland

Posted

102 days ago

Salary

€133.3K - €213.3K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishJavaPythonSQL

Job Description

Senior GTM Engineer

HubSpot

• As a Senior GTM Engineer, you’re a hands-on, full-stack builder embedded in an Ops team (Customer Success, Sales, Marketing, or Data Ops). Most weeks you spend ~70–80% of your time actually building: writing, testing, and shipping code and configurations that power automations and AI-powered agents on HubSpot’s platform. • You are the primary GTM Engineering partner for at least one motion or area in your customer team. You deeply understand how that motion works in practice, design focused POC/MVP experiments, and own end-to-end delivery of agents and automations that improve revenue, efficiency, or productivity for that function. • Ops leaders and partners own the “what”; you make the “how” real in production. You don’t stand up your own platform or parallel product org; you build on top of core HubSpot, Flywheel, or 3rd party platforms, proving what works in your domain and partnering with your leadership to scale winning ideas. • Design and deliver POCs/MVPs end-to-end. • Build and evolve agents on HubSpot’s AI platform. • Implement automations and integrations across the GTM stack. • Operate what you build with solid engineering hygiene. • Partner with your stakeholders to clarify problems, success metrics, and constraints for workflows in your area. • Act as the main GTM Engineering contact for your area.

Job Requirements

  • 3+ years of hands-on engineering / builder experience—for example: software engineer, internal tools engineer, automation engineer, or very technical BSA/Ops engineer—where you shipped and supported production systems or automations.
  • You have either:
  • Shipped at least one AI- or agent-style feature that real users used, or
  • A strong track record building production systems and a clear interest in applying AI in workflows.
  • Proficient in Python, SQL, and working with REST/RPC APIs and JSON; comfortable navigating GitHub and service catalogs to stitch together solutions across systems.
  • Comfortable with Java and REST troubleshooting and with iPaaS like Workato/Zapier/n8n; able to debug integrations and automations end-to-end with limited support.
  • Understands core GTM metrics (for example, GRR, UUS, CSAT, pipeline velocity, conversion, rep productivity) and connects experiments directly to those levers.
  • Consistently designs and delivers measurable POCs/MVPs that influence local GTM priorities and demonstrate clear before/after impact.

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