OpenAIBuilds for teams inside the company
Applied AI Software Engineer, GTM Growth Engineering
San Francisco, CA
$266,000–$405,000
Updated
$160,000–$500,000San Francisco, CA · New York, NYSan Francisco, CA +1On-site
Build production agentic systems that automate Mercor’s internal operations and eventually support customer operations at scale.
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$160K–$500KAbove the median
Median $190K
This job$160K–$500KTypical senior FDE payMiddle 50% of 1,789 postings$160K–$220KBuilds for teams inside the company
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Posted by Mercor on
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.
As a Software Engineer on the Automations team at Mercor, you’ll join a small, high-leverage engineering group building the autonomous systems that run Mercor’s internal operations — and eventually, operations at scale for the companies we serve.
This is not a research role. You’ll design and ship production agents that take real actions: scheduling interventions, executing operational playbooks, managing talent pipelines, and surfacing decisions that previously required hours of manual click-ops. From day one, you’ll own systems end-to-end — from MCP server design to evaluation frameworks — working directly with operators and platform engineers to turn repeatable human workflows into reliable, autonomous ones.
You’ll reason about correctness, rollback, observability, and trust in systems that touch payments, contracts, and people’s livelihoods. This is greenfield agentic infrastructure with immediate real-world impact.
Marketplace matching domain experts with AI labs and enterprises to produce training data, evaluations, and production AI workflows.
Series C · 200–500 people
OpenAIBuilds for teams inside the company
San Francisco, CA
$266,000–$405,000
$188,500–$282,700
PerplexityBuilds for teams inside the company
San Francisco, CA
$220,000–$405,000
$250,000–$400,000
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