Senior GTM Engineer

What You'll Do

• Build net-new GTM capabilities across HubSpot, Clay, Apollo, Orum, n8n, and adjacent systems using APIs, webhooks, automation layers, and custom code

• Design and launch high-value pipeline generation programs driven by signals, enrichment, timing, intent, and AI-based research and decisioning

• Build scoring, routing, prioritization, and handoff systems across leads, accounts, opportunities, partners, and customer lifecycle signals that improve precision and speed across the funnel

• Create internal tools and lightweight applications that give AEs, SDRs, SEs, CSMs, and GTM leaders better visibility into account context, next-best actions, risk, and opportunity

• Develop AI-powered workflows for research, personalization, meeting prep, follow-up, account planning, deal support, and expansion identification

• Connect product, usage, security, compliance, and CRM data into GTM workflows that improve pipeline quality, deal prioritization, renewal visibility, and expansion execution

• Build advanced models and logic that support segmentation, lifecycle management, territory design, capacity planning, and revenue prioritization

• Identify high-friction, highly manual parts of the revenue engine and replace them with scalable systems, automation, or internal tools

• Own technical architecture, QA, monitoring, documentation, and long-term maintainability for the systems, workflows, and internal products you ship

• Advise on build-versus-buy decisions, with a bias toward durable solutions that create leverage for the business rather than one-off fixes

Examples of Projects You'll Own

• A fully automated or semi-autonomous pipeline generation engine that identifies target accounts, applies fit and timing logic, enriches contacts, prioritizes outreach, and routes opportunities to the right motion

• An account, deal, and customer health scoring framework that combines CRM, engagement, and product signals into actionable prioritization for Sales and CS

• Internal applications or operator tools that surface account intelligence, expansion triggers, competitive context, and recommended actions to frontline teams

• AI-powered workflows that automate pre-meeting research, post-call follow-up, deal room generation, QBR preparation, and stakeholder mapping

• Segment-aware inbound and outbound decisioning systems that route and prioritize work differently across Commercial, Mid-Market, Enterprise, partner, and expansion motions

• Advanced routing and orchestration logic for partner, MSP, and co-sell motions as Iru scales channel leverage

What You'll Bring

• 5+ years of experience in a technical GTM role such as GTM Engineering, Technical RevOps, Growth Engineering, Forward Deployed Engineering, or a similar role in B2B SaaS

• Strong Python and SQL skills, with the ability to write scripts, work with data, call APIs, and build internal tools without depending on core Engineering for routine GTM work

• Strong hands-on experience with HubSpot or a comparable CRM and automation ecosystem. HubSpot experience is strongly preferred

• Experience building production workflows with Clay or comparable enrichment and orchestration tooling

• Experience building custom integrations via APIs, webhooks, and workflow orchestration platforms

• Familiarity with LLM APIs and AI workflow design for research, classification, personalization, and structured outputs

• A track record of shipping automations, tools, or applications that materially improved GTM execution

• Strong commercial judgment and user empathy. You understand how pipeline gets created and converted, and you build systems that teams actually adopt

• Comfort operating across multiple segments, technical buyer personas, and cross-functional GTM stakeholders

• High standards for reliability, documentation, data governance, and security in revenue-critical systems

What Success Looks Like

• GTM teams launch sophisticated workflows and programs faster, with less reliance on core Engineering for day-to-day execution

• SDRs, AEs, and CSMs spend less time on manual research and admin, and more time on customer-facing work

• Enrichment coverage, routing accuracy, and speed-to-lead improve materially

• Marketing, Sales, and CS can act on richer signals with less manual work and better prioritization

• Mid-Market, Enterprise, partner, and expansion plays run with stronger data, cleaner execution, and better visibility

• Internal users trust the systems because they are reliable, well-documented, and measurable