---
title: 'Cloud Platform Engineer (SF) at Mercor'
canonical: 'https://feeny.ai/job/cloud-platform-engineer-sf-mercor-san-francisco-0c9b2zbpmk8g'
type: 'job'
last_seen: '2026-09-05'
---

# Cloud Platform Engineer (SF) at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $190k–$230k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/mercor/9617d47a-9e6f-404f-b1fe-2fa4b7ff8471

## 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.

## The Role

We're looking for a Cloud Platform Engineer to own the internal IT infrastructure Mercor runs on — and to run it as code. You'll design and operate the platform layer beneath our identity, cloud, and SaaS systems: Okta configuration managed in Terraform, cloud IAM and account structure defined declaratively, and employee lifecycle provisioning automated end to end. You'll also own identity planning as we scale from hundreds to thousands of employees. This role reports directly to the Head of IT and is critical to our operational foundation.

## What You'll Do

- Own Mercor's identity infrastructure — Okta configuration and provisioning — managed as code in Terraform rather than clicked through a console
- Design and implement SCIM integrations across our SaaS stack, automating user provisioning and deprovisioning
- Own identity planning and architecture as we scale: access models, group strategy, and how entitlements evolve from hundreds to thousands of employees
- Own cloud account structure, IAM roles, and permission boundaries across AWS, GCP, Azure, and Vercel, keeping access least-privilege as the org grows
- Build and maintain Terraform for internal platforms so environments are reproducible and every change is reviewable
- Build automation that cuts manual ticket volume for employee onboarding and offboarding
- Design and own secrets management, key rotation, and service-account lifecycle
- Troubleshoot identity and infrastructure issues, trace root causes, and implement systemic fixes
- Document platform architecture, runbooks, and automation so the team can operate and extend it
- Mentor future IT team members on infrastructure-as-code, automation practices, and systems thinking
- Help establish sustainable escalation procedures as the team grows

You may be a good fit if you have:

- Hands-on production experience with Terraform, managing real infrastructure as code
- Production experience with Okta and SCIM integrations — ideally managed declaratively
- Strong skills with IAM roles and permissions across at least two major cloud platforms — AWS, GCP, or Azure — with Vercel a plus
- Proficiency in at least one programming language with demonstrated understanding of core coding principles
- Experience building automated workflows across systems via APIs
- Strong incident management skills: triage, root-cause analysis, and systems thinking
- Strong documentation skills — able to write technical guides other team members can follow and learn from
- Clear communication skills — able to explain technical identity and infrastructure concepts to non-technical stakeholders
- A systems-thinking mindset that naturally traces dependencies and considers second-order effects

Location and Commitment

San Francisco, CA. Full-time, five days a week in office. This role participates in an on-call rotation for weekend emergencies.

## 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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