Full-Time

Senior Product Engineer

Updated on 9/4/2026

Prolific

Prolific

1,001-5,000 employees

Platform matching researchers with study participants

No salary listed

Remote in UK

Remote

Category
Software Engineering (1)
Required Skills
Datadog
Kubernetes
DynamoDB
Microsoft Azure
Agile
Python
JavaScript
GitHub Actions
NoSQL
Software Testing
TypeScript
AWS
Vue.js
Observability
MongoDB
CircleCI
Celery
Serverless
Google Cloud Platform

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Requirements
  • Deep understanding of modern web applications.
  • Experience building TypeScript and JavaScript applications and using NoSQL databases.
  • Experience using Python.
  • Knowledge of event-driven architecture.
  • Experience using AWS serverless services and/or Google Cloud Platform.
  • Understanding of driving quality into code through test automation.
  • Experience supporting applications in production, with demonstrable observability practices within a full-stack environment, such as real user monitoring and tracing.
  • Experience working in a collaborative environment with strong engineering practices.
  • Understanding of the product life cycle and customer-value focus.
  • Understanding of continuous, iterative improvement using data to drive decisions and a culture of feedback.
  • Passion for software development and an appetite for learning and self-improvement.
  • Willingness to work with AWS, Google Cloud Platform, and Microsoft Azure.
Responsibilities
  • Work as a member of a cross-functional, stream-aligned team with an engineering manager, product manager, designer, and other engineers.
  • Use agile software development practices and a product mindset to plan, build, and support customer-facing software.
  • Collaborate with teams outside product engineering, work closely with customers, and understand their needs.
  • Maintain knowledge of products from code commit through production operation under a You Build It, You Run It model.
  • Support production systems with monitoring tools such as Datadog.
  • Strive for stable system observability.
  • Champion company principles, contribute to a growth mindset and engineering communities, and help improve engineering culture.
  • Question the status quo and ensure products deliver high value and impact for users.

Prolific operates an online research platform that connects researchers with a global pool of vetted participants. Researchers post studies and set demographic criteria to recruit eligible participants, who complete surveys and other research tasks to earn compensation. The platform uses a reputation-based system to ensure data quality from both researchers and participants. Clients include academic institutions, businesses, and individual researchers, making Prolific a centralized marketplace for human data in online research. The business model charges researchers a commission for each study conducted on the platform, covering participant recruitment, study management, and platform upkeep. Overall, Prolific aims to provide a reliable, efficient way to collect high-quality data for research and market insights.

Company Size

1,001-5,000

Company Stage

Series A

Total Funding

$33.3M

Headquarters

London, United Kingdom

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon MTurk stops accepting new customers July 30, 2026, sending budget demand to Prolific.
  • April 2026 pool growth added 13,000 AI-evaluation specialists and five new countries.
  • April 2026 AI persuasion study recruited 76,000 participants, proving scale for frontier safety work.

What critics are saying

  • CloudResearch Connect, UserTesting, and Toloka pressure pricing across research and AI evals.
  • Prolific's July 2026 study outage shows operational fragility under high demand.
  • If labs build internal human-data pipelines by 2027, Prolific loses its core moat.

What makes Prolific unique

  • Prolific's 220,000-plus active participants beat generic survey panels on speed and vetting.
  • Protocol's 110-plus checks and continuous fraud monitoring protect data quality across studies.
  • June 2026 multimodal collection in one workflow covers images, audio, and video.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

8%

1 year growth

0%

2 year growth

0%
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Chicago News Daily - Prolific raises $32M to use people to train and test AI models

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London-based startup Prolific has raised $32 million to further develop its unique system that uses a network of 120,000 human participants to train and stress-test AI models.

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Jul 11th, 2023
Prolific Raises $32M To Train And Stress-Test Ai Models Using Its Network Of 120K People

AI, when it works well, can feel like magic, but all too often AI-based systems don’t work as they should: If the data used to train models is not deep, wide and reliable enough, any kind of curveball can send that AI in the wrong direction. A London startup called Prolific has built a system it believes can help head off that issue, by tapping a network of 120,000 human participants to inform and stress test AI models. And in a sign of demand for its services, Prolific has now raised some funding — £25 million ($32 million) — to expand its operations.The round was co-led by Partech and Oxford Science Enterprises (OSE).Prolific was founded in 2014 and already counts organizations like Google, Stanford University, the University of Oxford, King’s College London and the European Commission among its customers, using its network of participants to test new products, train AI systems in areas like eye tracking and determine whether their human-facing AI applications are working as their creators want them to. Up to now, it’s been revenue from users like these that have helped Prolific grow. In fact, the only money Prolific had raised prior to this round was a seed round of $1.4 million it got after going through YC. (Yes, it was profitable; no longer now that it’s taking VC money and investing in growth.)“We’ve seen incredible traction recently, and have a huge opportunity in front of us so are taking on this new funding to supercharge our efforts and expand our product, and range of participants, much faster than we could have without it,” Phelim Bradley, the founder and CEO, said over email to TechCrunch.The company was conceived initially not out of a specific need in the world of AI, but out of a general problem that researchers often face with panels for anything, something Bradley identified in his own academic work (his background, before Prolific, was in computational biology and physics).In short, it’s a challenge to find comprehensive cross sections of people to respond to questions, and nearly impossible to do so in a timely manner