GTM Strategy Manager analyzes revenue org performance, builds AI agents for GTM workflows, owns tools like Clay and Dust, and delivers data-backed strategic recommendations. Requires 3-5 years in RevOps or equivalent, hands-on AI tool fluency, and strategic mindset.
150k – 175k
Hybrid3+ YOEGTM Engineering
About the role
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
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