GTM Engineer
$175k - $250k • San Francisco • FullTime
Posted 1mo ago
About the job
Mercor is seeking its first GTM Engineer to join their team at the intersection of engineering, growth, and marketing. This foundational role involves designing and deploying the infrastructure for Mercor's go-to-market engine from scratch. You will integrate AI agents into customer workflows, build data and tooling for marketing and sales, and transform manual processes into reliable, production-grade systems. The ideal candidate possesses strong technical depth, exceptional business instincts, and the ability to translate go-to-market operational understanding into scalable systems. You should be comfortable with SQL, Python, building AI-powered workflows, and collaborating with marketing and revenue leaders to solve high-leverage operational problems.
Responsibilities
- Design, build, and maintain data and automation infrastructure for marketing, sales, customer success, and operations.
- Partner with Marketing, Revenue, Operations, and Engineering to translate business requirements into scalable data models, workflows, and technical systems.
- Build and maintain reliable integrations across Mercor's GTM stack (Attio, Customer.io, Clay).
- Develop dashboards, experimentation frameworks, and self-serve reporting for GTM leaders.
- Own the quality, documentation, and governance of GTM data.
- Build AI agents to automate lead research, enrichment, routing, campaign execution, outbound personalization, and customer intelligence.
- Deploy production-grade automations using frontier language models, APIs, and workflow orchestration.
- Rapidly prototype AI-powered workflows, measure their business impact, and scale successful experiments.
- Stay current with AI tooling and introduce new capabilities to enhance GTM team leverage.
- Build reliable, observable data pipelines and workflows for customer-facing teams.
- Identify operational bottlenecks and automate repetitive processes across the customer lifecycle.
- Improve TAM mapping, account/contact enrichment, rules of engagement, attribution, and lead routing.
- Champion data quality, documentation, and rapid iteration across the GTM organization.
Requirements
- 6+ years of experience in data engineering, analytics engineering, data science, growth engineering, revenue operations, or a similar technical role.
- Proven track record of building reliable systems in high-growth environments.
- Strong proficiency in SQL and Python.
- Excellent technical fundamentals and ability to work across modern data and AI infrastructure.
- Experience building data pipelines, integrating APIs, and designing reliable workflows across business systems.
- Strong intuition for go-to-market operations and ability to translate business problems into scalable technical solutions.
- Experience with modern data warehouses, orchestration tools, and BI platforms (e.g., Snowflake, BigQuery, dbt, Airflow, Looker, Hex).
- A builder's instinct: take ownership of ambiguous problems, move quickly, and balance speed with long-term scale.
- Excellent communication skills for effective collaboration with cross-functional teams.
- Experience thriving in fast-moving, high-growth environments.
Benefits
- Base cash compensation from $175K – $250K
- Generous equity grant vested over 4 years
- Up to $15K relocation bonus
- $10K housing bonus (if living within 0.5 miles of office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
- 401(k) with company match