Iru is the AI-powered security & IT platform used by the world’s fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation—collapsing the stack and giving IT & security time and control back.
Iru is backed by some of the smartest investors in tech—General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as ServiceNow and AWS. Iru was named to Forbes’ America’s Best Startup Employers 2025 list for employee engagement and satisfaction.
We’re hiring a Senior GTM Engineer to build the systems, applications, and decisioning logic that power Iru’s next phase of growth.
This role reports to the Head of GTM Operations and sits at the intersection of Revenue, Systems, Data, and AI. You will design and ship high-impact GTM capabilities across pipeline generation, scoring and routing, workflow automation, internal tooling, and AI-powered revenue programs.
Iru sells a technical platform across Commercial, Mid-Market, and Enterprise, with a growing partner ecosystem and an increasingly complex revenue motion across Sales, Marketing, Customer Success, and Partnerships. We need someone who can translate that complexity into software, automation, and scalable workflows that create leverage across the business.
This is not a systems administration role and it is not a campaign execution role. This is a technical builder role for someone who can move from an ambiguous revenue problem to a production-grade solution, whether that means a workflow, an internal application, a scoring model, or an AI-powered pipeline program.
The right person for this role brings both engineering depth and GTM judgment. You understand how revenue teams operate, and you know how to write code, design logic, connect systems, and ship solutions that materially improve pipeline creation, prioritization, forecasting, expansion, and execution.
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
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
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
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
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Iru provides an AI-powered platform that consolidates identity and access management, device management, endpoint security, and compliance automation. The company targets enterprises seeking to simplify their security stack and reduce operational overhead.
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