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InRule

Explainable, AI Decisioning | Decision and Process Automation, Actionable Machine Learning

GTM Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 2002H1B No SponsorCompany SiteLinkedIn

Location

Illinois

Posted

3 days ago

Salary

$90K - $110K / year

Seniority

Senior

Bachelor DegreeEnglishJavaScriptPythonSQL

Job Description

GTM Engineer

InRule

• Drive new bookings • Build the integrations and automated workflows that move prospects through the funnel. • Remove friction from the buyer journey, first touch to close. • Build outbound that scales without losing the personal feel: enriched sequences, intent-triggered touchpoints, and AI-assisted personalization that makes every message feel relevant. • Build scoring and signal workflows that surface the right opportunities at the right time and write that context back to Salesforce, so reps know what to prioritize before they open their CRM. • Give CS and account-management reps time back by automating the manual work that eats their capacity: renewal notifications, health-score updates, expansion triggers, follow-up sequences, customer-facing status reports. • Smooth the post-sale journey. • Build workflows that help reps close faster: demo decks generated from call recordings, deal-room automation, and follow-up assets assembled on the fly. • Keep systems in sync and automated decisions grounded in clean data — and know where human judgment belongs in the loop. • Own what you build. Ship work that’s maintainable, documented, and designed to scale. Run tight experiments: ship, measure, adjust. Document what works so the team builds on wins rather than repeating mistakes. • Design security, access, and governance in from the start, scoping permissions correctly with IT so projects move fast and ship clean.

Job Requirements

  • Engineering & integration — You’re comfortable with APIs and REST integrations, scripting in Python and/or JavaScript, and building automations that run reliably in production — not just prototypes.
  • CRM building — You can build in Salesforce or HubSpot, not just configure them, and you understand their permission and security models.
  • Agentic AI & automation — You’ve built LLM-driven workflows that do real work — scoring, summarization, signal detection, writing back to CRM — and you know when AI adds value versus complexity.
  • Enrichment & data orchestration — You’ve built on enrichment, intent, and orchestration platforms (Clay, ZoomInfo, Hockeystack, Hightouch, or similar) and know how to turn that data into outbound and routing that actually drive rep action.
  • Revenue & GTM sense — You understand how B2B revenue teams operate: how deals move, where they stall, and what reps need versus what they ask for. You partner closely with Marketing, Sales, and Customer Experience on what to build next.
  • Security, access & governance — You can hold a real conversation with IT — OAuth scopes, connector permissions, access governance — scope risk accurately, and get projects approved rather than stalled.
  • Preferred SQL or BI experience: pulling funnel data, spotting where pipeline leaks, and using it to decide what to build next.
  • Deal-room tools and a clear sense of where friction lives across both the new-business and post-sale motion.

Benefits

  • Competitive compensation and benefits
  • Flexible work environment
  • The opportunity to build and shape a premium support function with measurable customer impact
  • A collaborative culture with close partnership across Support, Engineering, Product, and Customer Success
  • Professional growth within a scaling SaaS organization

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