Backend Engineer, Marketplace

· Remote

Location

Remote

Type

Full Time

Job Description

Backend Engineer Marketplace

Posted An Hour Ago
Be an Early Applicant
San Francisco CA USA
In-Office
Mid level
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
As a Backend Engineer you'll build backend services for candidate-job matching and marketplace workflows focusing on APIs data models and operational systems.
Summary Generated by Built In
About Mercor

Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge experience and context that can't be captured in code alone. Today more than 30000 experts in our network collectively earn over $2 million a day.

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 Mercor

Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge experience and context that can't be captured in code alone. Today more than 30000 experts in our network collectively earn over $2 million a day.

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 new San Francisco headquarters.

About the Role
As a Backend Engineer on the Marketplace team you will build the core systems that govern how talent and opportunities meet on Mercor. You’ll work on search matching allocation and workflow infrastructure at the heart of the marketplace where system quality directly affects fill rate hiring speed and revenue.
The problems are technically demanding and tightly coupled to business outcomes: latency reliability throughput and system quality all directly affect marketplace performance.
What You’ll Build


• Backend services that power candidate-job matching routing and marketplace workflows
• APIs and internal systems for search eligibility scoring allocation and fulfillment
• Data models and system abstractions for a rapidly evolving labor marketplace
• Infrastructure for real-time and asynchronous decisioning at high volume
• Operational systems and tooling that keep product-critical workflows reliable observable and easy to evolve
Example Problems


• Build the systems that determine which candidates are eligible for which opportunities
• Design matching and allocation infrastructure that balances speed quality and fill rate
• Improve the performance and reliability of APIs serving marketplace decisions in real time
• Develop workflow engines for onboarding vetting routing and placement
• Design backend abstractions that let product and ML teams iterate quickly without degrading system quality
What We’re Looking For


• Track record of building and operating reliable backend systems in production
• Strong judgment in system design performance reliability and data modeling
• Comfort working on high-throughput APIs distributed systems and asynchronous workflows
• Ability to translate product and marketplace requirements into clean technical systems
• High engineering standards and a bias toward simple durable abstractions
Nice to Have


• Experience with search recommendation matching scheduling or marketplace systems
• Experience supporting ML-powered products or integrating model inference into production systems
• Familiarity with event-driven architecture queues caching and observability tooling
Why This Role
This role sits on a core decision layer of the product. Your work will directly shape how the marketplace operates: which opportunities get filled how quickly hiring happens and how reliably the system scales as volume and complexity increase.
Tech Stack
Python Go Kafka Postgres Redis Elasticsearch Kubernetes Terraform

Benefits

  • Generous equity grant vested over 4 years

  • A $10K housing bonus (if you live within 0.5 miles of our office)

  • A $1.5K monthly stipend for meals

  • Free Equinox membership

  • Health insurance

Top Skills

Elasticsearch
Go
Kafka
Kubernetes
Postgres
Python
Redis
Terraform
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The Company
HQ: San Francisco California
2217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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Date Posted

04/10/2026

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