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Mercor

Automates candidate screening and matching

Fullstack Product Engineer - Studio Platform

Full-Stack EngineeringUpdated on Nov 12
Full-time$160k - $500k /yr

About the Job

Requirements

  • At least five years of full-stack engineering experience building and shipping production software.
  • Strong product intuition and the ability to improve user flows proactively.
  • Deep experience with React, TypeScript, and Next.js, including building engaging interfaces from complex data.
  • Ability to design schemas, APIs, and background jobs across the stack.
  • Experience shipping production products; end-to-end ownership of a product area is ideal.
  • Use of coding agents as part of the development workflow and interest in agentic collaboration experiences.
  • Ability to turn ambiguous user or partner-team problems into a plan, identify underlying issues, and explain tradeoffs clearly.

Responsibilities

  • Design workflows in which agents draft tasks, environments, and graders while experts steer and correct them, making steering fast and review easy.
  • Build the agentic framework experts use to author environments in Studio.
  • Make long-running agent processes easy for experts to understand and follow.
  • Make new environment types configurable so customer requests can be shipped without an engineer writing code.
  • Build quality-control views that show failures and their causes and enable users to fix issues where they find them.
  • Own Studio user journeys end to end, including the React frontend used by expert contributors and Strategic Project Leads and the backend services that power data pipelines and deliver outputs to customers.
  • Build and maintain the foundational platform layer for rapidly deploying new data types and task formats across the company.
  • Ship scalable, reliable systems and intuitive interfaces that improve the effectiveness of Studio users.

Desired Qualifications

  • Experience building tooling for data labeling, annotation, or human-in-the-loop AI workflows.
  • Background in design systems, developer-facing APIs, or internal platform engineering.
  • Exposure to AI tools, large language model-powered products, or real-time data and visualization.
  • Experience at top-tier technology companies or fast-scaling startups.

About the Company

Mercor

Automates candidate screening and matching

Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.

Company size
201-500
Company stage
Series D
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2023

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