14 days ago
Base Salary
$250k - $400k/yr
Responsibilities
- Partner directly with stakeholders to identify high-impact problems, define roadmaps, and independently prioritize and execute solutions.
- Develop reliable data pipelines, models, and metrics using SQL, dbt, and Snowflake.
- Translate ambiguous business problems into production-ready data models, dashboards, and analytical tools.
- Identify operational bottlenecks and build automations that reduce manual work and improve efficiency.
- Use AI coding agents and emerging tools to accelerate analytics engineering development.
- Own analytics and data infrastructure initiatives end-to-end.
Requirements
- 8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.
- Expertise in SQL, data modeling, Python, dbt, cloud data warehouses, and BI tools such as Hex or Looker.
- Ability to independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.
- Strong business judgment and communication skills for working with senior stakeholders and translating ambiguity into actionable solutions.
- Ability to quickly learn unfamiliar domains and technologies and leverage AI tools productively.
- Proven record of high-quality execution, ownership beyond formal responsibilities, and success in demanding, fast-moving environments.
Benefits
- Meaningful equity grant vested over four years.
- Comprehensive health, dental, and vision insurance.
- 401(k) with company match.
- Free Equinox membership.
- Monthly meal, laundry, and personal wellness benefits.
- Based in the San Francisco, New York City, or London offices with in-person work five days per week; the described role is based in San Francisco.
- Teams commonly work from 9 AM to 9 PM.
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.