368,611open jobs
9,439companies
50,719added this week
Browse all
Salary
$140k – $210k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Mercor is an artificial intelligence infrastructure company headquartered in San Francisco, California, and founded in 2023. The company operates a platform that connects a global network of domain experts, including physicians, lawyers, and engineers, with AI labs to provide high-quality data for reinforcement learning from human feedback (RLHF) and model evaluation. It develops specialized benchmarks like APEX to measure model performance on economically valuable tasks and provides enterprises with tools to monetize their workflow data for AI training.

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 Product Operations Manager on the Talent Experience team, you'll sit at the intersection of Product, Engineering, Operations, and the experts who do the work on Mercor's platform. You'll help experts succeed by running the feedback loop that turns their problems into product changes, owning the tooling and data our specialists work in, and working through the distributed team that is the front line of that loop.

You'll own the operational systems that make expert support work at scale - from the tool stack and reporting layer to the cross-functional channels that route each problem to the team that owns it - while serving as the voice of experts inside the Product organization. You'll also own how the work gets done across the team: the processes, the quality bar, and the operating cadence that keep it consistent as scope grows.

This is a hands-on, systems-building role for someone who enjoys solving ambiguous problems, working close to the people our platform serves, and fixing the process that produced ten tickets rather than closing the ten tickets.

What You’ll Do

  • Own the expert feedback loop: Collect signal from satisfaction surveys, support conversations, and agent transcripts. Categorize it by driver and account, prioritize by volume and severity, get it in front of the people who can act on it, and close the loop back to experts so they know it landed.

  • Turn support signal into product requirements: Be the channel between the people who talk to experts every day and the people who build for them. Make sure a recurring failure becomes a roadmap item rather than a standing workaround.

  • Own the data layer for expert experience: Enforce data quality, and make sure the team can get to numbers without waiting on an analyst. Report what moved and why, not just the number.

  • Run and improve the tool stack: Select, integrate, and administer the tools the team works in - support platform, AI agents, internal admin surfaces, reporting. Measure whether they are actually being used, train the team on them, and retire what isn't earning its place.

  • Enable the team to run experiments: Set up the data and tooling to test hypotheses across the expert lifecycle - onboarding friction, comms nudges, assessment drop-off - so we change things on evidence and can tell afterward whether it worked.

  • Drive the Talent Success operation: Work day to day with the distributed team of account-aligned specialists who cover our largest accounts. Set the operating cadence, hold the quality bar, and own the throughput of the support queues as scope grows.

What We’re Looking For

  • Experience: 3+ years in Product Operations, Technical Program Management, Support or CX exposure, Implementation Consulting, or a similar operational role. Experience working or coordinating distributed teams is a strong plus.

  • Technical Fluency: Familiar with coding agents. Comfortable using SQL without agent assistance.

  • Ownership: Thrive in ambiguous environments and take ownership from problem definition through execution. Expert-focused, with excellent written and verbal communication - much of this job is making a cross-functional owner care about a problem that isn't theirs yet.

  • Systems Thinking: Strong project management and cross-functional communication skills. Passion for building repeatable systems rather than one-off solutions, and for fixing problems at the source.

  • Working Through Others: Comfortable operating across a distributed team spanning time zones - setting a bar, giving direct feedback, and getting things done through people who don't report to you.

Location

San Francisco (in-office).

Benefits

  • 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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,611 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$21k – $57k per year (Estimated) • Remote/Hybrid • Full-Time • 6+ years exp • Bachelor's Degree • Noida
C#
SQL
TypeScript
JavaScript
C#
.NET
Frontend
Angular
DevOps
Azure
Azure DevOps
CI/CD
Git
TeamCity
Apply
$16k – $42k per year (Estimated) • Remote/Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Noida
C#
SQL
TypeScript
JavaScript
C#
.NET
Frontend
Angular
DevOps
Azure
Azure DevOps
CI/CD
Git
TeamCity
Apply
$21k – $57k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Noida
C#
SQL
TypeScript
JavaScript
C#
.NET
Frontend
Angular
DevOps
Azure
Azure DevOps
CI/CD
Git
TeamCity
Apply
$200k – $500k per year • Equity • In office • Full-Time • PhD • San Francisco
AI/ML
LLM
NLP
LLM Evaluation
Post-training
AI Agents
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Python
TypeScript
JavaScript
Python
Django
FastAPI
Pydantic
Databases
DuckDB
MySQL
PostgreSQL
Redis
Snowflake
AI/ML
LangChain
LangGraph
LangSmith
LLM
AI Agents
Human-in-the-Loop
LLM Guardrails
Frontend
Next.js
React.js
Tailwind CSS
DevOps
Datadog
Kubernetes
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Go
Python
Rust
AI/ML
Synthetic Data
Post-training
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Python
Databases
PostgreSQL
DevOps
AWS
Apply
$130k – $500k per year • Equity • In office • Full-Time • San Francisco
Go
Python
Databases
Apache Kafka
ElasticSearch
PostgreSQL
Redis
DevOps
Kubernetes
Terraform
Apply
$173k – $314k per year • In office • Full-Time • 12+ years exp • Bachelor's Degree • San Francisco
Apex
JavaScript
Node JS
Python
SQL
TypeScript
Apex
Lightning Web Components
AI/ML
Agentforce
AI Agents
Claude
Claude Code
Copilot
Cursor
LLM
RAG
DevOps
AWS
Azure
CI/CD
Docker
GCP
GitHub
Grafana
gRPC
Kubernetes
New Relic
Prometheus
Splunk
Marketing
Salesforce
QA
Cypress
JMeter
k6
Locust
Playwright
Postman
Rest-Assured
Selenium
Apply
Senior ML Engineer 1 hour ago
$149k – $224k per year • In office • Full-Time • 5+ years exp • Master's Degree • San Francisco • Washington • Palo Alto
Python
Python
pySpark
Databases
Apache Kafka
AI/ML
AI Agents
Agentforce
Airflow
Anomaly Detection
Feature Store
Flink
Ray
Red Teaming
Spark
DevOps
CI/CD
Docker
Kubernetes
Cybersecurity
MITRE ATT&CK
Marketing
Salesforce
Apply
In office • Internship • 1+ year exp • Bachelor's Degree • San Francisco
Go
JavaScript
Ruby
Scala
Apply
$360k – $530k per year • In office • Full-Time • Bachelor's Degree • San Francisco
MATLAB
Python
MATLAB
Simulink
AI/ML
OpenAI
Robotics
Digital Twin
Apply
$222k – $277k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • San Francisco
DevOps
CI/CD
Immutable Infrastructure
Apply
See all jobs
This is one of many
368,611 more open roles from verified company boards, updated every day.