GTM Engineer
Builds and scales revenue systems through data integrations, AI automations, and GTM workflows for Sales, Marketing, and CS teams. Requires 4-6+ years in technical GTM roles, expertise in CRM tools like Salesforce/Clay, SQL/BigQuery, and AI deployment.
About the job
What You’ll Do
- Architect and manage data flows, integrations, APIs, and webhooks to ensure clean, reliable, and actionable data across systems. Our stack includes Salesforce, HubSpot, LeanData, Outreach, Clay, ZoomInfo, LinkedIn Sales Navigator, BigQuery, Zapier, and Clari Copilot.
- Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation. Build the orchestration layer that keeps data flowing between tools and powers every workflow downstream.
- Build and evolve our prospecting architecture using tools like Clay, ZoomInfo, and Salesforce to identify high-intent accounts and contacts.
- Develop new signal-based workflows (intent, enrichment, behavioral triggers) to improve targeting and timing.
- Design and automate outbound and inbound campaign workflows aligned to ICP, personas, and messaging strategy.
- Identify high-impact AI use cases and deploy AI agents, copilots, and workflows across GTM teams.
- Build automations that reduce manual work (e.g., lead routing, enrichment, account research, sequencing triggers).
- Maximize native AI capabilities across existing tools and evaluate new tools to enhance the stack.
- Act as a bridge between technical systems and GTM teams.
- Train Sales, Marketing, and CS on new workflows, tools, and AI capabilities.
- Build internal champions and drive adoption of new systems and processes.
What We’re Looking For
- 4–6+ years in GTM Engineering, Revenue Operations, Sales Systems, or similar technical GTM roles in B2B SaaS.
- Strong understanding of sales, marketing, and customer lifecycle processes and how systems support revenue outcomes.
- Deep experience with CRM and GTM tools listed in our stack above. We want to leverage Clay better as our GTM orchestration and enrichment layer.
- Proficiency in SQL and working with data warehouses (BigQuery preferred).
- Experience building integrations using APIs, webhooks, and automation platforms (Zapier, Make, n8n, Workato, Clay).
- Ability to design scalable workflows and data models across systems.
- Bonus: Experience with Python or JavaScript for lightweight scripting and automation.
- Hands-on experience deploying GenAI workflows, agents, or copilots in GTM contexts.
- Strong familiarity with tools like OpenAI, Claude, Gemini, or similar.
- Strong interest in staying ahead of trends in LLMs and agentic systems.
- Builder mentality: you enjoy turning ambiguity into structured systems.
- Highly analytical with strong problem-solving skills.
- Scrappy and execution-oriented—you ship fast, iterate, and scale what works.
- Strong cross-functional communicator able to translate business needs into technical solutions.
- Background in high-growth or AI-native companies.
Compensation
$150,000 - $200,000 OTE + meaningful equity.
Skills
Salesforce, HubSpot, Clay, ZoomInfo, BigQuery, SQL, APIs, Webhooks, Zapier, Python, JavaScript, AI, Generative AI, OpenAI, Claude
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