---
title: 'Technology Operations Specialist (L3) at Mercor'
canonical: 'https://feeny.ai/job/technology-operations-specialist-l3-mercor-san-francisco-evpqqw1fmc47'
type: 'job'
last_seen: '2026-09-05'
---

# Technology Operations Specialist (L3) at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $160k–$190k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/mercor/cdc3dbec-046e-4397-b28b-b10839df7b91

## 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:

We're hiring our first IT Operations Lead to own the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. You'll partner directly with the Head of IT to transform reactive support into strategic, automated systems that prevent problems before they occur — balancing speed, security, and an exceptional user experience for technical teams building the future of AI.

You'll be based in our San Francisco or New York office, collaborating closely with Security, Engineering, and People Ops.

## IN THIS ROLE, YOU WILL:

Handle day-to-day operations and incident response

- Triage and resolve Tier 2/3 tickets with a focus on automation and improving response and resolution times
- Manage and troubleshoot Apple devices at hyper-scale
- Trace root causes across complex, multi-system failures (Rippling → Okta → Kandji → Google Workspace), identify patterns in recurring tickets, and propose automation or self-service solutions
- Analyze downstream impacts before making changes; map dependencies and blast radius for SSO, MDM, and access-control changes
- Build and maintain runbooks, troubleshooting guides, and knowledge base articles that elevate team capabilities
- Lead small projects that address operational pain points (BYOD policies, international provisioning, compliance evidence collection)
- Translate technical issues for non-technical stakeholders (People Ops, Finance, Legal) during incidents and changes
- Mentor future IT team members on troubleshooting methodology and systems thinking
- Participate in an on-call rotation and help establish sustainable escalation procedures as the team grows

YOU MAY BE A GOOD FIT IF YOU:

- 5–7 years in IT Operations or Technical Support roles, ideally supporting technical teams (SaaS, cloud, AI/ML environments)
- Systems thinker who naturally traces dependencies, considers second-order effects, and asks "why did this break?" not just "how do I fix it?"
- Strong incident management skills: triage, root-cause analysis, blameless postmortems, pattern recognition
- Understanding of compliance controls (access management, logging, change management)
- Clear communicator who can explain technical issues to both engineers and non-technical stakeholders and write excellent documentation
- Self-directed with a bias to action and strong judgment on when to escalate versus resolve independently
- Solves problems others gave up on through creative, systematic troubleshooting
- Thinks through second- and third-order effects before making changes
- Documents solutions that help everyone, not just yourself
- Builds trust through technical competence and calm, clear communication under pressure

STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH:

- Expert troubleshooting across the Apple ecosystem, including MDM (Kandji, Jamf, Intune)
- Advanced Google Workspace and Okta administration (SAML/OIDC, lifecycle automation, SCIM provisioning)
- Multi-cloud Support (AWS, Azure, GCP)
- Network troubleshooting (DNS, VPNs, VLANs)
- Scripting and automation (Python, Bash) and APIs for repetitive tasks and integrations, plus low-code automation tools (Okta Workflows, Zapier)

## WHAT MAKES THIS ROLE UNIQUE

You'll spend most of your day handling tickets and incidents, but you won't just fix problems, you'll ask why they exist and work to prevent them. If you see the same issue three times, you'll write the runbook, propose the automation, or flag the upstream fix. As we scale, you'll hire and mentor the next IT Operations team members, shaping how we support a fast-growing AI company.

## BENEFITS

- Bi-annual performance bonus structure
- 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

## 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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