GTM Engineer

GTM Strategy & Insights

• Analyze GTM performance across Sales, Marketing, and CS — surface what's working, flag anomalies, and deliver opinionated recommendations to the revenue org
• Own agent design and AI-enabled development — build and maintain a structured, data-driven agentic universe with clear iteration and roadmap management
• Use AI tools and agents to surface insights, recommend GTM strategic moves, and design systems and process around an AI-enabled GTM team
• Design measurement frameworks that connect outbound activity to pipeline to ARR — ensuring every play is trackable and every dollar is attributable
• Partner with GTM leadership and cross-functional leaders on strategic planning, audience design, and performance reviews

Agent Ownership & GTM Automation

• Own Agentic Go-to-Market workflows as an innovator, pioneer, and advocate, pushing for new ways to implement new workflows within the GTM organization
• Own Clay as a platform — lead enrichment strategy, maintain and scale playbooks, manage credit ROI, and drive best practice adoption across the team
• Drive agent-activation within Dust — build workflows, knowledge bases, and automations that make the revenue org faster, more consistent, and more informed
• Expand the use of AI-native tooling (Claude, OpenAI, and emerging GTM tools) across research, personalization, signal detection, and lead scoring
• Own and continuously improve the leads engine — identifying high-signal triggers, building enrichment workflows, and improving targeting precision over time
• Evaluate and implement new AI tools that push Scribe's GTM capabilities forward

What Makes You a Great Fit

• 3–5 years experience in Revenue Operations, GTM Engineering, Finance, or other equivalent roles
• Hands-on Clay experience — you know how to build tables, manage enrichment strategy, think about credit efficiency, and translate data into targeting logic
• Fluency with AI-native GTM tools — Claude, Cursor, OpenAI, Dust, or equivalent; you're not a tourist in this space and can self-serve in these areas
• Consult on GTM Best Practices — Bring a consultant's lens to diagnosing GTM problems: structured thinking, clear outputs, and a bias toward recommendation over observation
• GTM strategist mindset — you've done growth, sales strategy, consulting, or RevOps and you bring structure and recommendations, not just reporting
• Strong data interpretation skills — you can look at funnel data, call out anomalies, and tell a story about what the numbers mean for the business
• Self-directed and high-output — you identify the gap and go after it; you don't need to be told what to do next
• Comfortable building from scratch — ambiguity doesn't slow you down

Nice to have:

• Experience with Salesforce or HubSpot
• SQL, Sigma, and Snowflake familiarity
• Background in B2B SaaS, ideally PLG or hybrid GTM models

Compensation

San Francisco-based candidates: $150,000 – $175,000 + equity