Role Description
We're hiring a GTM Engineer to treat growth as an engineering problem: design and operationalize the systems behind demand capture, lead routing, and experimentation. The marketing operation exists and runs today β the job is to transform its workflows with automation and AI, and build the production-grade systems it runs on next. This is a fast-iteration role: build something, ship it, watch real numbers move, and iterate.
-
Identify and prioritize the highest-leverage GTM motion to transform first, partnering with the marketing team to surface opportunities and develop the strategy to act on them.
-
Build and ship working automations with Claude Code and event-driven tools like Zapier and n8n, taking prototypes to production and productizing tools for team-wide use.
-
Own the enrichment strategy β ICP segmentation and scoring, and signal-to-action workflows that turn raw data into sales-ready intelligence for reps.
-
Design and run multi-channel prospecting pipelines: built-in A/B testing, automated enrichment and scoring, response-detection routing, backed by deliverability infrastructure (SPF/DKIM/DMARC, domain warmup, bounce handling).
-
Support ABM and paid media β audience targeting on LinkedIn and Google, suppression and match-rate workflows, connecting ad-platform engagement to pipeline data, and testing/bidding automation.
-
Use AI to scale organic and inbound demand, improving how the brand surfaces in search and AI-generated answers, and tightening capture, routing, and speed-to-lead.
Qualifications
-
Professional experience in GTM engineering, revenue technology, data engineering, or a closely related technical domain.
-
Strong bias toward action β you'd rather ship a working prototype and iterate than spec something to death.
-
Hands-on experience with workflow automation platforms (Zapier, n8n, Clay, or similar), with real shipped automations, not configured templates.
-
Salesforce familiarity, including the data model and experience integrating with or automating within the CRM.
-
Experience connecting systems via APIs β REST, webhooks, OAuth, rate limiting, error handling.
-
An owner mindset β not just closing tickets, but asking whether the right problems are being solved the right way.
-
Deep understanding of sales, marketing, and revenue processes.
-
Active engagement with the AI space, with workflows already built using LLMs like Claude, GPT, or Gemini.
-
Strong written and spoken English, and willingness to work US Pacific-overlap hours.
Requirements
-
Nice to have: Snowflake or other data warehouses (Databricks, BigQuery), a software or data engineering background, Python or JavaScript scripting, or prior high-growth startup experience building foundational systems from scratch.
Benefits
-
Monthly live training sessions with senior operators from US tech companies.
-
A community of GTM engineers who review each other's builds and share what works.
-
Real career growth as the network expands.