GTM Engineer

Required skills

Requirements

3+ years of professional experience
Experience with GTM engineering and RevOps
Experience with building workflows with LLMs (e.g., Claude, ChatGPT, Gemini)
Familiarity with Salesforce, including the data model, with experience integrating with or automating within the CRM
Experience connecting systems via APIs and working with data integration concepts (e.g., REST APIs, webhooks, OAuth, rate limiting, error handling)
Experience with workflow automation platforms (e.g., Zapier, n8n, Clay) combined with hands-on coding ability
Experience building systems from scratch rather than only optimizing what's already connected
Experience instrumenting funnels, wiring up data pipelines, and shipping automations with whatever tool gets the fastest result
Ability to ship a working prototype quickly and iterate
Ability to take on ambiguous technical problems and figure out the right tech stack independently
Ability to think like an owner, questioning whether the right problems are being solved in the right way
Strong communication skills in both spoken and written English

Startup experience, particularly building foundational systems from scratch in a high-growth environment
Experience with data warehouses (e.g. Snowflake, Databricks, BigQuery)
Formal background in software engineering, data engineering, or a technical IC role
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

Build and ship the technical infrastructure behind the growth motion, acting as execution and build partner to the Growth Marketing team, who own the GTM strategy and prioritization, by turning that strategy into production-grade systems
Write code, wire up integrations, and automate the GTM stack
Build and ship automations directly with Claude Code, automating manual GTM processes (e.g. research, outbound sequencing, event-driven workflows) using tools like Zapier and n8n, and productize prototypes for team-wide use
Build enrichment infrastructure, including ICP segmentation and scoring and signal-to-action workflows that turn raw data into sales-ready intelligence
Design and build multi-channel prospecting pipelines from scratch, including A/B testing, automated lead enrichment and scoring, response-detection routing, and deliverability infrastructure (e.g. SPF, DKIM, DMARC, domain warmup, bounce handling)
Own the technical build for ABM and paid media, connecting audience targeting (e.g. LinkedIn, Google), managing suppression and match-rate workflows, and building testing and bidding automation
Build the technical infrastructure for AI-driven demand generation, tightening how content surfaces across AI search and the web and how capture, routing, and speed-to-lead convert inbound demand