Member of Technical Staff, Agent Product
Mercor
San Francisco, CA · $160k–$500k a year · Posted November 12, 2026
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More in California job market · Member of Technical Staff jobs in San Francisco, CA (193) · All Member of Technical Staff jobs (386) · Technology & Software · Engineering jobs
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000.
Listed pay is what employers advertise, not what people are paid.
Member of Technical Staff salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
ABOUT MERCOR
Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
ABOUT THE ROLE
We think knowledge workers will need agents that are powerful (same access you have), proactive (do it before you ask it), and personalized (continually learn about you).
We built Indigo, an agent designed to be your coworker. Indigo powers both our internal AI tools and our enterprise agent deployments. You, your colleagues and thousands of customers will spend hours each day on Indigo. Through Slack, the web, or text, Indigo will help them brainstorm, plan, and deliver.
We are looking for engineers who are excited to make agents that help people to achieve more .
WHAT YOU’LL WORK ON
Making a magical experience is really about getting a thousand tiny details right:
- What colors should we use for the status dot to signal “done and unread” vs. “waiting on input”?
- How can we copy the shortcut mappings people are used to on Claude Code when many shortcuts are already repurposed by the browser?
- What happens if users split out 64 panes? What happens if they upload 100 files?
- How much of the thinking trace do people actually want to see?
- Should sending new chat messages automatically scroll the active window down?
- Do chat sidebars scale to agent swarms? What happens when people have 50 parallel agents?
WHAT WE’RE LOOKING FOR
- Detail-obsessed perfectionist
- You think taste cannot be delegated to an agent
- You are comfortable with tight deadlines
- You can invent new experiences that don’t have analogs
- You believe diffusion of agents throughout the economy is one of the most important missions of this decade
HOW WE WORK
- Writing is thinking
- Quality and speed
- Freedom and responsibility
- Ruthlessly outcomes-oriented
- Think in systems
- 5 days/week on-site in SF
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.