Skip to content

Open nowPosted 54 days agoWe saw it 20 min after it went up

Product Engineer, Talent Experience

Mercor112 open roles

Pay
$160,000 – $500,000 a year
Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduct Engineer, Talent ExperienceMercor · San Francisco
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Mercor's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Mercor postings stay open a median of 56 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 54 days ago

Mercor median: 56 days open

The posting

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 on the Talent Experience team, you'll build the systems that evaluate the skills and expertise of the world's top talent at scale.

Assessment is at the core of how Mercor works: every expert in our network is vetted, matched, and continuously evaluated through our assessment platform. You'll own backend-heavy, full-stack work across this platform—designing evaluation pipelines, building the services that power AI-assisted interviews and skill verification, and shipping the product surfaces that tens of thousands of candidates and experts interact with every day.

You'll work directly with the Assessment product lead on roadmap and execution, with significant ownership from day one. This is a high-leverage role: improvements to assessment quality and throughput compound across everything Mercor does.

YOU WILL

- Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale.

- Own features end-to-end—from product discussions and technical design to implementation, testing, and release.

- Build evaluation pipelines and data models that combine human judgment with AI-powered scoring.

- Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows.

- Partner closely with Product, AI, and Data teams to translate assessment research into production systems.

- Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.

- Improve the performance, reliability, and observability of assessment infrastructure.

- Solve real customer problems and continuously improve candidate and expert experience.

WHAT WE'RE LOOKING FOR

- 3+ years of professional software engineering experience building production systems.

- Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.

- Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it.

- Experience building or integrating LLM-powered features in production is a strong plus.

- Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.

- Strong software engineering fundamentals, including testing, debugging, and performance optimization.

- Excellent product intuition—you enjoy building products that people actually use.

- Comfortable working in fast-moving environments with evolving priorities.

- High ownership, curiosity, and a bias toward shipping.

WHY THIS ROLE MATTERS

- Impact: Build the evaluation systems that decide how tens of thousands of AI experts are matched to the world's most important AI work.

- Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and shape the assessment roadmap from day one.

- Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.

- Growth: Rapid career progression with opportunities to expand ownership as the assessment platform and engineering organization scale.

BENEFITS

- Bi-annual performance bonus structure

- Generous equity grant vested over 4 years

- Up to $15k Relocation bonus

- $10K proximity 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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Mercor's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Mercor's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Mercor's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.