Scribe

3 months ago

GTM Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

GTM Engineer sits at the intersection of go-to-market strategy and AI-powered execution, owning AI tooling, enrichment, and GTM automation. You’ll diagnose revenue-lever performance, build data-driven AI agents, design territory and audience logic, and partner across GTM to drive measurable pipeline growth in a senior individual contributor role.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Analyze GTM performance across Sales, Marketing, and CS and surface insights with opinionated recommendations
•Own agent design and AI-enabled development and maintain a data-driven agentic universe with clear iteration
•Use AI tools and agents to surface insights, recommend GTM strategic moves, and design systems around an AI-enabled GTM team
•Own Clay as a platform — lead enrichment strategy, maintain and scale playbooks, manage credit ROI, and drive best practice adoption
•Drive agent-activation within Dust and expand the use of AI-native tooling across research, personalization, signal detection, and lead scoring

Pay and Benefits

Salary: USD 150,000 - 175,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•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

Experience:GTMRevenue OperationsSaaSB2B

Skills:CommunicationAnalytical thinkingProblem-solvingCollaborationPresentation

Tech Stack:ClaudeOpenAIDustCursorSalesforceHubSpotSnowflakeSQLSigmaAI tooling

Company Brief

Scribe

Creates Scribe, a SaaS tool that automatically generates step-by-step guides and documentation from user workflows, capturing screenshots and annotations to streamline onboarding, training, and knowledge sharing for teams.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: New York, United States

Founded: 2020

Website LinkedIn

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Scribe

3 months ago

GTM Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Analyze GTM performance across Sales, Marketing, and CS and surface insights with opinionated recommendations
•Own agent design and AI-enabled development and maintain a data-driven agentic universe with clear iteration
•Use AI tools and agents to surface insights, recommend GTM strategic moves, and design systems around an AI-enabled GTM team
•Own Clay as a platform — lead enrichment strategy, maintain and scale playbooks, manage credit ROI, and drive best practice adoption
•Drive agent-activation within Dust and expand the use of AI-native tooling across research, personalization, signal detection, and lead scoring

Pay and Benefits

Salary: USD 150,000 - 175,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•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

Experience:GTMRevenue OperationsSaaSB2B

Skills:CommunicationAnalytical thinkingProblem-solvingCollaborationPresentation

Tech Stack:ClaudeOpenAIDustCursorSalesforceHubSpotSnowflakeSQLSigmaAI tooling

Company Brief

Scribe

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: New York, United States

Founded: 2020

Website LinkedIn