Analytics Engineer

Mercor

Job details

  • ONSITE
  • FULL_TIME
  • San Francisco
  • United States
  • Verified 2026-11-10
  • Salary: USD 250,000–400,000/yr
  • Source: Mercor public ASHBY source

Original job description

About Mercor

Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.

We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.

Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.

Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.


About the Role

We’re looking for an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations across Mercor.

This is a high-ownership role where you’ll work directly with business leaders to identify problems, define roadmaps, and deliver solutions end-to-end. Rather than waiting for stakeholder requests, you’ll proactively uncover bottlenecks and opportunities, often before others recognize them.

We’re looking for someone with exceptional technical ability, strong business judgment, and a bias for action. You should be a fast learner who leverages AI tools to dramatically increase your productivity and thrives in a high-intensity environment.


What You’ll Do

  • Drive your own roadmap: Partner directly with stakeholders, proactively identify high-impact problems, and independently prioritize and execute solutions.

  • Build scalable data infrastructure: Develop reliable data pipelines, models, and metrics using SQL, dbt, and Snowflake.

  • Own analytics end-to-end: Translate ambiguous business problems into production-ready data models, dashboards, and analytical tools.

  • Automate business workflows: Identify operational bottlenecks and build automations that eliminate manual work and improve efficiency.

  • Leverage AI to multiply output: Use AI coding agents and emerging tools to accelerate development and continuously improve how analytics engineering gets done.


What We’re Looking For

  • 8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.

  • Strong technical fundamentals: Expert SQL, data modeling, Python, dbt, cloud data warehouses, and BI tools (e.g., Hex, Looker).

  • Exceptional autonomy: Proven ability to independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.

  • Strong business judgment and communication: Able to work directly with senior stakeholders, understand business priorities, and translate ambiguity into actionable solutions.

  • Rapid learning and AI fluency: Quickly master unfamiliar domains and technologies, and leverage AI tools to dramatically increase productivity.

  • Proven track record of execution: Consistently deliver high-quality work at exceptional speed, take ownership beyond your formal responsibilities, and thrive in demanding, fast-moving environments.


Work Environment

Mercor operates at an exceptionally fast pace. This role is based in our San Francisco office five days per week, and our teams commonly work 9 AM–9 PM. We’re looking for people who are energized by this level of commitment, autonomy, and execution.


Compensation & Benefits

Mercor offers competitive compensation, meaningful equity, and comprehensive 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

Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.

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