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MercorMercorSan Francisco, CA

GTM Engineer

Build Mercor’s foundational go-to-market engineering infrastructure, including revenue data systems, integrations, dashboards, and AI-powered automations. The role requires 6+ years of technical experience, strong SQL and Python skills, and deep familiarity with GTM operations.

175k – 250k/yr
On-site6+ YOEGTM Engineering

About the role

Responsibilities

GTM Data & Systems

  • Design, build, and maintain data and automation infrastructure for marketing, sales, customer success, and operations.
  • Build account and contact enrichment, outbound, and email tooling.
  • Translate business requirements into scalable data models, workflows, and technical systems.
  • Maintain integrations across Attio, Customer.io, and Clay.
  • Develop dashboards, experimentation frameworks, and self-serve reporting for pipeline, conversion, attribution, and revenue performance.
  • Own GTM data quality, documentation, and governance.

AI & Automation

  • Build AI agents for lead research, enrichment, routing, campaign execution, outbound personalization, and customer intelligence.
  • Deploy production-grade automations using language models, APIs, workflow orchestration, and modern data infrastructure.
  • Prototype AI-powered workflows, measure impact, and scale successful experiments.
  • Introduce new AI capabilities that increase GTM team leverage.

Scale & Operations

  • Build reliable, observable data pipelines and workflows for customer-facing teams.
  • Identify bottlenecks and automate repetitive processes across the customer lifecycle.
  • Improve TAM mapping, enrichment, rules of engagement, attribution, and lead routing.
  • Promote data quality, documentation, and rapid iteration across the GTM organization.

Requirements

  • 6+ years of experience spanning data engineering, analytics engineering, data science, growth engineering, revenue operations, or a similarly technical role.
  • Strong proficiency in SQL and Python.
  • Experience building data pipelines, integrating APIs, and designing reliable workflows across business systems.
  • Strong understanding of go-to-market operations across marketing, sales, and customer success.
  • Experience with modern data warehouses, orchestration tools, and BI platforms such as Snowflake, BigQuery, dbt, Airflow, Looker, or Hex.
  • Ownership of ambiguous problems and ability to balance speed with long-term scalability.
  • Excellent communication and cross-functional collaboration skills.
  • Experience in fast-moving, high-growth environments.

Compensation & Benefits

  • Base cash compensation: $175,000–$250,000.
  • Generous equity grant vested over 4 years.
  • Up to $15,000 relocation bonus.
  • $10,000 housing bonus if living within 0.5 miles of the office.
  • $1,500 monthly meal stipend.
  • Free Equinox membership.
  • $200 monthly laundry reimbursement.
  • $200 monthly personal wellness reimbursement.
  • Health, dental, and vision insurance.
  • 401(k) with company match.

Skills

SQLPythonattiocustomer.ioClaySnowflakeBigQuerydbtAirflowLookerHexAPIsData PipelinesAI AgentsWorkflow Orchestration
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