Mercor’s Talent Success team is hiring! Our Talent
Success team is responsible for ensuring everyone using our
platform has a delightful experience end to end, from applying to
job listings, taking our AI-led interviews, accepting offers on our
platform, and getting paid for their hard work. About the Role
Mercor has thousands of users joining the platform each week to
interview for different roles our clients have posted. When they
run into issues or have questions and reach out for help, you will
be responsible for giving them a speedy and delightful experience.
You will work directly with our engineering team, triaging and
investigating bug reports so being super savvy with modern websites
and issues SaaS-type applications run into will come in handy.
Since your conversations with the talent applying on our platform
will often be the first interaction someone has with Mercor,
maintaining an enthusiastic, upbeat tone while writing at native
English level proficiency is important. We use a lighthearted and
informal tone in our support communication while at the same time
being very professional and precise in our replies. Key
Responsibilities Investigate talent-reported issues end-to-end:
reproduce bugs, identify root causes, and separate UX friction,
model edge cases, and system defects. Debug across our AI + SaaS
stack using telemetry, logs, network inspection, and database
queries to understand production behavior. Triage with sound
judgment — escalate true engineering issues and resolve others via
configuration, prompt refinement, or clear user guidance. Surface
systemic patterns and product risks to engineering and product
leadership. Create clear documentation and runbooks to reduce




repeat issues and improve resolution speed. Communicate with
precision, professionalism, and empathy. Qualifications Ability to
debug web applications, likely coming from either a Degree in
Computer Science, Software Engineering, or a related technical
field from a top-tier institution or prior experience at a
high-growth technology startup. Experience building up-to-date web
applications (React, Node, Flask, Next.js, etc.) OR 2-5 years of
experience supporting customers on such web applications.
Comfortable with AI systems — you’ve played with LLMs, agents, or
generative models. Experience exploring behavior of AI tools
(fine-tuning, prompt chains, chain-of-thought debugging, or
building agents). Ability to understand model outputs, failure
modes, hallucinations, and feedback loops. Familiarity with how
modern AI APIs work (OpenAI, Anthropic, etc.) or how agent
frameworks (LangChain, AutoGPT, etc.) function is a plus. About
Mercor Mercor is at the intersection of labor markets and AI
research. 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.

📌 Customer Success Engineer (India) (Karnataka)
🏢 Mercor
📍 Karnataka