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San Francisco, California, United States
Onsite
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.
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.
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
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
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
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
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