Sr. GTM Engineer

What you'll be doing
Build the foundation: stand up the core GTM systems and data infrastructure — CRM architecture, enrichment tooling, and the integrations that connect them — from the ground up Own enterprise lead generation end to end: define and build the sourcing, enrichment, scoring, and routing logic that turns raw market data into qualified, sales-ready leads Design and automate outbound and inbound lead flows so Sales always has a full, well-qualified pipeline without manual list-building or hand-offs Partner with Sales and leadership to define what a qualified lead looks like, then build the systems that enforce it at scale Use AI tools (including Claude) to prototype and ship lead-gen automations — enrichment, scoring, personalized outbound — quickly and iteratively Continuously test and improve lead generation systems — instrument what's working, kill what isn't, and iterate as the market and team evolve

We'll be excited if you have
3+ years of experience in a GTM engineering or demand generation role, ideally having built enterprise lead generation systems from scratch Hands-on experience with a modern GTM stack — Salesforce, enrichment tools, sales engagement platforms, and automation tools Working proficiency in SQL and comfort with at least one scripting language (Python or JavaScript) for building custom workflows and integrations A track record of building or significantly improving lead generation systems — sourcing, enrichment, scoring, or routing — that measurably grew qualified pipeline Genuinely tech-savvy, with comfort picking up new tools fast — including AI tools like Claude — to work smarter and stay ahead Strong analytical instincts; you're comfortable digging into messy data to find the root cause of a pipeline or data-quality problem Excellent written and verbal communication skills — able to translate technical systems into plain language for non-technical stakeholders Sense of ownership and a builder's mindset; comfortable creating structure from zero and operating with autonomy in a fast-moving, resource-lean environment Adaptable and collaborative, with the ability to shift gears quickly as priorities, tools, and processes evolve