GTM Engineer

Mercor is hiring a GTM Engineer in San Francisco for a full-time role focused on building the systems that support customer acquisition, service, and growth. The job sits between engineering, marketing, and revenue work, with responsibilities including connecting AI agents to customer processes and replacing manual workflows with more reliable tools and infrastructure. It calls for someone with strong technical skills, especially in SQL and Python, along with a solid understanding of how go-to-market teams handle leads, attribution, pipeline, and expansion. This role is best suited to a person who is comfortable working in a fast-moving environment and partnering closely with teams across the business.

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE This is a rare, foundational hire: Mercor's first GTM Engineer. You'll sit at the intersection of engineering, growth, and marketing — building the systems that power how Mercor acquires, serves, and expands customers. You'll design and deploy the infrastructure behind Mercor's go-to-market engine from the ground up: integrating AI agents into customer workflows, building the data and tooling to power marketing and sales, and transforming manual, spreadsheet-driven processes into reliable, production-grade systems. The ideal candidate combines strong technical depth with exceptional business instincts. You understand how modern go-to-market organizations actually operate — from lead generation and attribution to pipeline management and customer expansion — and have the technical fluency to turn that understanding into scalable systems. You're equally comfortable writing SQL and Python, building AI-powered workflows, and partnering with marketing and revenue leaders to solve high-leverage operational problems. WHAT YOU'LL DO GTM DATA & SYSTEMS - Design, build, and maintain the data and automation infrastructure that powers Mercor's go-to-market organization, spanning marketing, sales, customer success, and operations including account & contact enrichment, and outbound and email tooling - Partner closely 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), ensuring customer, pipeline, and product data remain accurate and accessible - Develop dashboards, experimentation frameworks, and self-serve reporting that give GTM leaders real-time visibility into pipeline, conversion, attribution, and revenue performance - Own the quality, documentation, and governance of GTM data so teams can make decisions with confidence AI & AUTOMATION - Build AI agents that automate lead research, enrichment, routing, campaign execution, outbound personalization, customer intelligence, and other high-impact workflows - Deploy production-grade automations using frontier language models, APIs, workflow orchestration, and modern data infrastructure to eliminate manual operational work - Rapidly prototype AI-powered workflows, measure their business impact, and scale successful experiments into core GTM infrastructure - Stay at the frontier of AI tooling and proactively introduce new capabilities that increase the leverage of Mercor's go-to-market teams SCALE & OPERATIONS - Build reliable, observable data pipelines and workflows that customer-facing teams depend on every day - Continuously identify operational bottlenecks and automate repetitive processes across the customer lifecycle - Improve TAM mapping, account and contact enrichment, rules of engagement, attribution, and lead routing — giving decentralized GTM teams a shared view of prospects and customers and coordinating engagement across Mercor's products - Champion a culture of data quality, documentation, and rapid iteration across Mercor's go-to-market organization WHAT WE'RE LOOKING FOR - 6+ years of experience spanning data engineering, analytics engineering, data science, growth engineering, revenue operations, or a similarly technical role with a track record of building reliable systems in high-growth environments - Strong proficiency in SQL and Python. While you can learn new tools on the job, we expect excellent technical fundamentals and the 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 — you understand how marketing, sales, and customer success organizations operate, and can translate business problems into scalable technical solutions - Experience working with modern data warehouses, orchestration tools, and BI platforms (e.g. Snowflake, BigQuery, dbt, Airflow, Looker, Hex, or similar) - A builder's instinct: you take ownership of ambiguous problems, move quickly, and know when to build for speed versus long-term scale - Excellent communication skills — you can partner effectively with marketing, revenue, operations, and engineering teams to solve high-impact business problems - Experience thriving in fast-moving, high-growth environments COMPENSATION & BENEFITS - Base cash compensation from $175K – $250K - Generous equity grant vested over 4 years - Up to $15K relocation bonus - $10K housing bonus (if you live within 0.5 miles of our 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