GTM Engineer
Mercor · San Francisco
CHECKED 23H AGO
Applied AIonsitesenior$175k–$250k
At a glance
Highlights
- Foundational first GTM Engineer building Mercor's go-to-market engine from scratch.
- Build AI agents that automate lead research, enrichment, and campaign execution.
- Transform manual spreadsheet processes into reliable production-grade systems.
What they offer
- Generous equity grant vested over 4 years
- Up to $15K relocation bonus
- $10K housing bonus if 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
Ideal candidate
A builder with strong business instincts who thrives in fast-paced environments and loves turning ambiguous GTM problems into scalable, AI-powered systems.
Requirements
- 6+ years of experience spanning data engineering, analytics engineering, data science, growth engineering, revenue operations, or similarly technical role with track record building reliable systems in high-growth environments
- Strong proficiency in SQL and Python with 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 partnering with marketing, revenue, operations, and engineering teams
- Experience thriving in fast-moving, high-growth environments
- remote policy
- In-person five days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts