Senior GTM Growth Engineer

Responsibilities

• Build and operate signal-to-pipeline systems covering account selection, enrichment, research, personalization, outreach, routing, CRM capture, and attribution
• Create personalized email, LinkedIn, and executive outreach workflows based on evidence rather than generic high-volume messaging
• Combine Clay, Apollo, Salesforce, LinkedIn, external data providers, and custom Python or TypeScript services
• Develop account and buyer signals from funding, hiring, leadership changes, AI and customer support initiatives, website intent, product usage, and relationship data
• Build research and representative agents that assemble account context, recommend contacts and relationship paths, draft messaging, and surface next-best actions
• Create founder and executive outreach queues for high-value opportunities
• Run frequent GTM experiments, retain successful plays, stop weak plays, and document learnings
• Instrument the funnel from signals and outreach through meetings, opportunities, and ARR
• Operate systems after launch, including data quality, observability, failure handling, cost, deliverability, and iteration
• Partner with Sales, Marketing, RevOps, executives, and engineering while owning the system and business outcome

Requirements

• Production software or durable internal product experience using Python or TypeScript
• Comfort with APIs, webhooks, SQL, data models, integrations, and LLM or agent workflows
• Ability to turn ambiguous commercial problems into working systems, measurable experiments, and clear recommendations
• Understanding of ICPs, buying signals, personalization, funnel quality, and enterprise sales
• Ability to collaborate with Sales, Marketing, RevOps, executives, and engineering while taking ownership of outcomes
• Experience with GTM engineering, growth engineering, or product engineering in a GTM team is preferred
• Technical founder or operator experience building systems behind a commercial motion is preferred
• Hands-on experience with Salesforce, Clay, Apollo, LinkedIn, enrichment providers, orchestration tools, or related GTM infrastructure is preferred
• Experience building relationship graphs, intent models, scoring systems, research agents, or personalized outbound products is preferred
• Experience operating AI-assisted workflows with human review, permissions, data-quality controls, and measurement is preferred

Benefits

• 100% of medical, dental, and vision premiums covered for the employee and 80% for family
• HSA and FSA plans available
• Unlimited vacation and 100% paid parental leave
• Free lunches, onsite gym, and commuter benefits for in-office employees
• $1,000 home office stipend and $5,000 per year for continuing education
• Competitive salary, comprehensive benefits, and meaningful equity
• Located in Boston, MA; onsite perks are available for in-office employees