Software Engineer, Frontier Data Products
Mercor
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What software roles keep asking for: Python (37%), Java (30%), AWS (29%), System design (26%), C++ (26%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.
Software Engineer jobs in the United States · Software Engineer jobs in New York · Software Engineer jobs in San Francisco · Remote Software Engineer jobs · AWS jobs · Observability jobs · PostgreSQL jobs · Python jobs
Mercor has 91 open roles listed here.
- Member of Technical Staff, Agent Product
- Tech Lead, AI Data Products
- Product Manager
- Product Manager, Environments
- Product Manager, Real World Data
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for software roles keep coming back to Python, Java, AWS, System design. Practise those questions before you sit with Mercor.
Questions you are likely to be asked
- Why do you want to join Mercor?
- What is your experience with System design? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Software Engineer, Frontier Data Products at Mercor interview free →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 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 30,000 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 Frontier AI companies are increasingly bottlenecked on expert judgment and high-quality data workflows. This team builds the production systems that capture, coordinate, and validate that work at scale — directly between a customer request and the output that ships. These are long-running, stateful systems. A single job can stay live for days, interleaving automated steps, model inference, and expert review. A step marked "done" can be reopened, re-reviewed, and redone — so "completed" is not always final, state has to tolerate late mutation, and correctness has to survive humans and models disagreeing with each other. This is a backend systems and orchestration problem: distributed state machines, not pipelines. The architecture is not set. Early engineers will decide what it becomes, and the loop between "I shipped this" and "this mattered" is short. What You'll Do Design services and state models for multi-stage workflows that fan out across automated processing and expert reviewers, then reconcile results into a coherent whole Build orchestration primitives — retries, failure recovery, idempotency, auditable state transitions — for jobs that run far longer than a request and can be partially redone after the fact Integrate model inference into production workflows without sacrificing debuggability or human oversight Build the APIs and tooling that let product, operations, and ML teams operate, debug, and trust these systems at scale Own reliability and observability for workflows where a silent failure means a corrupted result, not just a 500 What Makes This Role Different You are building the core infrastructure that sits directly between customer requests and the outputs that ship — not internal tooling, not a support system This product area is young and strategically central; early engineers are deciding the architecture, not inheriting it The inputs are non-deterministic by nature — you are building durable orchestration over humans and models that can disagree with each other on hour 40 of a multi-stage job Day-to-Day Moving fast on genuinely hard systems problems — ambiguity is the default, not the exception Working closely with product, operations, and ML teams to translate a tangle of constraints into clean system design Debugging complex stateful workflows where the failure surface spans automated steps, model calls, and human reviewers Owning your systems end-to-end: design, ship, operate, improve What We're Looking For Production backend experience with strong opinions about what ages well and why Sharp instincts for system design, service boundaries, and where to put complexity — and where to refuse it Fluency with the distributed systems toolkit: async workflows, queues, idempotency, retries, and long-running jobs as practice, not resume line items Ability to take ambiguous product, operational, and ML constraints and turn them into a system that is clean and debuggable Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus You're likely someone who: Gets frustrated by systems that are hard to debug and takes that personally enough to fix it Has strong opinions about where state should live and can defend them in a design review Moves fast but doesn't treat reliability as someone else's problem Wants your work to have a short, visible line to outcomes that actually matter to customers Benefits Bi-annual performance bonus structure 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 Benefits: Generous equity grant vested over 4 years Health, dental, and vision insurance 401(k) with company match Unlimited paid vacation and sick days Parental leave for birthing and non-birthing parents Free mental health services $200 monthly wellness reimbursement $1.5K monthly meal stipend $200 monthly laundry reimbursement Free Equinox membership Up to $15K relocation bonus 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.
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Listed on ashby · posted 2026-11-14. ApplySarthi collects openings and links to application pages; the role is advertised by Mercor, not by us.