Jobs at Prolific

Design and prototype applied ML methods to improve human data quality, judgement aggregation, and AI evaluation. Build experiments, benchmarks, and reliability tests; apply classical ML, statistics, LLMs, and agentic techniques. Rapidly prototype with Python, partner with product and engineering to translate methods into scalable platform capabilities, and communicate technical trade-offs to stakeholders.

Lead the Supply Data Science team to define strategy, optimize marketplace participant supply, and collaborate across departments to enhance efficiency and participant experience.

Interim lead for Growth Data Science & Analytics managing a team of three. Own analytics roadmap, BI reporting, and ExCo-facing insights on marketplace health and revenue. Prioritise delivery, stakeholder management, and translating complex analysis into clear executive narratives to inform growth investments.

Senior RevOps Manager (12-month fixed term) will own revenue planning, quota and comp modelling, forecasting for a consumption-based model, and pipeline modelling. Serve as sole HubSpot CRM administrator, maintain RevOps roadmap, ensure CRM-data warehouse integration, produce data-led reporting, collaborate with data teams (SQL), and act as a senior partner to sales, marketing, customer success, and leadership.

As a Senior Product Designer, you will identify problems, shape product design, elevate user experiences, and collaborate with cross-functional teams at Prolific.

As a Technical Lead, you'll oversee technical projects, mentor engineers, ensure high-quality solutions, and influence strategic decisions in a collaborative environment.

Build and maintain scalable data pipelines and platform components to serve analytics, ML, and product teams. Design data services/APIs, ensure data quality, observability, security and compliance, and evolve cloud-native infrastructure using IaC and Kubernetes. Partner with cross-functional teams, produce documentation, and ship reliable, tested data solutions.

Design, build, and maintain scalable data pipelines and platform services to support analytics, ML, and product teams. Implement infrastructure-as-code (Terraform) and Kubernetes-based deployments, develop data services/APIs, and ensure data quality, observability, security, and compliance. Partner with cross-functional teams, document systems, and continuously improve performance and reliability.

As a Senior Product Engineer, you'll lead in developing web applications, working collaboratively with cross-functional teams while ensuring high code quality and observability in production systems.

Manage and optimise GKE Kubernetes clusters using Terraform; implement GitOps (ArgoCD) and developer golden paths; build infrastructure for safe, scalable deployments; support cloud compliance (SOC2, ISO-27001, Cyber Essentials); produce developer-facing documentation; act as GCP/Kubernetes technical lead and participate in on-call rotation.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

As an Engineering Manager, you will lead engineering teams, ensuring high performance and delivery of customer value while driving technical decision-making and managing project outcomes in a cross-functional environment.

As a Lead Analytics Engineer, you will transform Prolific's data infrastructure, optimizing data models and ensuring data accuracy and accessibility while supporting BI teams and mentoring junior analysts.

As a Senior MLOps Engineer, you'll enhance AI production by managing infrastructure, automated pipelines, and model deployments, ensuring optimal performance and reliability for diverse AI tasks.

Lead Product Designer managing design vision and execution across multiple teams, enhancing user experiences within Prolific's marketplace and services.

Lead independent research on LLM evaluation, alignment, and synthetic data generation. Design and run rigorous experiments, build scalable evaluation frameworks and research infrastructure, apply fine-tuning and model optimization techniques, publish and open-source work, and collaborate with engineers and product teams to translate research into production-ready tools.

Own month-end tasks including journals, reconciliations and P&L variance commentary; prepare quarterly VAT returns; handle customer refunds (AML compliant); track cashflow and user balances; support financial reporting, invoices and re-forecasting; create automations, update policies, respond to stakeholder queries, and drive reporting/process improvements.

As Product Manager, you'll oversee a team developing AI tools, manage the complete product lifecycle, and collaborate across departments to ensure alignment with market needs.