GTM Engineer at Mercor | CA, US | Rezi

GTM Engineer at Mercor

GTM Engineer

Mercor · CA, US

1 months ago

GTM Engineer

Mercor · CA, US

a month ago
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About the Role

Mercor is seeking its first GTM Engineer to build the infrastructure powering customer acquisition, service, and expansion. This role sits at the intersection of engineering, growth, and marketing, transforming manual processes into scalable, production-grade systems.

Responsibilities

  • Design, build, and maintain the data and automation infrastructure for Mercor's go-to-market organization, including account & contact enrichment, and outbound and email tooling.
  • 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, workflow orchestration, and modern data infrastructure.
  • Rapidly prototype AI-powered workflows, measure business impact, and scale successful experiments.
  • Introduce new AI capabilities to increase the leverage of Mercor's go-to-market teams.
  • 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 and contact enrichment, rules of engagement, attribution, and lead routing.
  • Champion a culture of data quality, documentation, and rapid iteration across Mercor's go-to-market organization.

Requirements

  • 6+ years of experience spanning data engineering, analytics engineering, data science, growth engineering, revenue operations, or a similarly technical role.
  • 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 working with modern data warehouses, orchestration tools, and BI platforms (e.g. Snowflake, BigQuery, dbt, Airflow, Looker, Hex, or similar).
  • Builder's instinct: take ownership of ambiguous problems, move quickly, and know when to build for speed versus long-term scale.
  • Excellent communication skills to partner effectively with cross-functional teams.
  • Experience thriving in fast-moving, high-growth environments.

Skills

  • SQL
  • Python
  • Data Engineering
  • Analytics Engineering
  • Data Science
  • Growth Engineering
  • Revenue Operations
  • API Integration
  • Workflow Design
  • Go-to-Market Operations
  • Data Warehousing
  • Orchestration Tools
  • BI Platforms
  • AI Agents
  • Frontier Language Models
  • Workflow Orchestration
  • Modern Data Infrastructure

Location

  • San Francisco
  • New York City
  • London

Work Type

  • In-person
  • Full-time

Experience Level

  • 6+ years of experience

Salary/Compensations

  • $175K – $250K

Benefits

  • 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

About the Company

  • Mercor is a leading AI data company organizing human intelligence to power the AI economy.
  • Millions of domain experts 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 infrastructure to Fortune 500 companies to capture how their best people work and translate that expertise into agents.
  • Mercor is creating a new category of work where expertise powers AI advancement.
  • Mercor is a profitable Series C company valued at $10 billion.