---
title: 'Member of Technical Staff, Backend at Mercor'
canonical: 'https://feeny.ai/job/member-of-technical-staff-backend-mercor-san-francisco-j7jt8czb1hcg'
type: 'job'
last_seen: '2026-09-12'
---

# Member of Technical Staff, Backend at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $250k–$500k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-25
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/mercor/ce84b612-89fb-4fac-976e-ac7dbcdb7da1

## Job description

## About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform 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 same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

## About the Role

As a Member of Technical Staff of talent experience, you'll own the shared backend architecture that underpins every user journey for talent network at Mercor.

Mercor's products—talent matching, assessment, expert workflows—are growing faster than any single team can architect for. You'll define the technical direction of the systems they all depend on: core services, data models, APIs, and infrastructure patterns that must scale with a network of tens of thousands of experts and the demands of the world's leading AI labs. You'll set the standards that dozens of engineers build on, pay down the architectural decisions that no longer fit, and make the ones that will still be right three years from now.

This is a hands-on technical leadership role, not a management role. You'll write code, review the designs that matter most, and act as the connective tissue between product teams—partnering directly with engineering leadership to shape how the organization builds.

## What You'll Do

- Own the architecture of Mercor's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
- Define and drive the long-term technical strategy for backend architecture across the organization.
- Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
- Identify and pay down architectural debt that slows product teams, and lead complex cross-team migrations.
- Establish backend engineering standards, patterns, and best practices adopted across all product teams.
- Stay hands-on: prototype critical systems, ship production code, and unblock teams on their hardest technical problems.
- Mentor senior engineers and raise the technical bar across the engineering organization.
- Partner with engineering and product leadership on build-vs-buy decisions, platform investments, and technical hiring.

## What We're Looking For

- 8+ years of professional backend engineering experience, including 3+ years operating at a Senior level or above.
- Deep expertise in distributed systems, service architecture, data modeling, and API design at scale.
- A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
- Experience leading large, complex technical migrations in production without stopping the business.
- Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority.
- Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity.
- Experience mentoring senior engineers and raising the technical bar across an organization.
- Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
- High ownership, pragmatism, and a bias toward shipping.

## Why Mercor

- Impact: Own the architecture that every Mercor product is built on, at a company scaling faster than almost any in its category.
- Ownership: Organization-wide technical scope with a direct line to engineering leadership and real authority over technical direction.
- Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
- Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.

## Benefits

- Generous equity grant vested over 4 years
- A $20K relocation bonus (if moving to the Bay Area)
- A $10K housing bonus (if you live within 0.5 miles of our office)
- A $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance

## About Mercor

## Company Overview
- **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, USA (with offices in New York City and London)
- **Founded**: 2023
- **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs)

## Core Business
- Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI
- Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work
- Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models.

## Products & Services
- **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews.
- **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work.
- **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.

## Market Standing
- **Valuation**: $10 billion valuation (as of Series C)
- **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable
- **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises
- **Growth Signals**: 
  - Named to Bloomberg's "2026 24 AI Startups to Watch"
  - Forbes AI 50 (2025)
  - Forbes Cloud 100 (2025)
  - LinkedIn Top Startup (2025)
  - Described as "the fastest-growing company in the world"
  - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform

## Competitive Advantages
- **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat.
- **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration.
- **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics.
- **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack.

## Strategic Focus
- **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data.
- **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents.
- **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work.
- **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches.

## Why Work Here
- **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead).
- **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems.
- **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world."
- **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support).
- **Benefits**: 
  - Unlimited paid vacation and sick days
  - Free Equinox membership (premium fitness access)
  - Monthly wellness stipend and free mental health services
  - Monthly food stipend
  - 401k with employer match
  - Parental leave for both birthing and non-birthing parents
- **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more.

## Sources
1. [mercor.com](https://www.mercor.com/)
2. [mercor.com/careers](https://www.mercor.com/careers/)
3. [mercor.com/mission](https://www.mercor.com/mission/)
4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor)
5. [linkedin.com/company/mercor-ai](https://www.linkedin.com/company/mercor-ai)

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