Senior Product Engineer

present of AI; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Job summary

Prolific in the United Kingdom is seeking a senior product engineer to own features end to end, from shaping problems with researchers to shipping and maintaining code. The role benefits from strong full stack or frontend depth and solid product judgment, with emphasis on data quality and reliable participant flows.

You will collaborate closely with researchers and internal teams to design trustworthy flows and ensure the data used for AI labs remains high quality and representative.

Qualifications

• Own features end to end from problem framing with users to shipping and maintaining the code.
• Solid full stack or frontend depth with strong product judgment.
• Care for data quality and reliable participant flows in AI lab contexts.

Responsibilities

• Own features end to end from problem framing with users to shipping and maintaining the code.
• Collaborate with researchers and internal teams to design trustworthy flows and ensure data quality.

Skills

End-to-end ownership

Full stack engineering

Front end depth

Product judgment

Data quality

Collaboration with researchers

Job description

A senior product engineer typically owns features end to end, from shaping the problem with users to shipping and maintaining the code. A strong candidate brings solid full stack or front end depth, good product judgment, and comfort working closely with researchers and internal teams. At a platform serving researchers and AI labs, care for data quality and reliable participant flows matters.

How it fits the AI era

AI tools speed up coding, testing and prototyping, so the role leans more on deciding what to build and judging quality. The human parts stay central: understanding researcher needs, designing trustworthy flows, and keeping verified human data genuinely human.

How it builds AI experience

Working here means building products that collect real human feedback for AI labs, which builds practical understanding of data quality and model evaluation. That experience can grow through shipping features that guard against fake responses and by learning how research and AI teams use the data.

Worth showing

• End to end product delivery
• Full stack engineering
• Product judgment
• Data quality focus
• Working with researchers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Prolific

A platform of ID-verified human participants that researchers and AI labs use to collect real human feedback, at a time when AI-generated fake responses are becoming a growing problem in online research.