Jobs at Prolific

Conduct independent AI research focused on evaluation methodologies, alignment techniques, and synthetic data generation. Design rigorous experiments and scalable frameworks for evaluating LLMs and agent systems using human data. Build research infrastructure and practical tools, applying fine-tuning, optimization, quantization, adapters, and distillation. Publish research, contribute to open source, collaborate with engineering and product teams, mentor colleagues, and communicate complex AI concepts clearly.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

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.

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.

Leads technical direction and delivery of scalable, secure software projects. Designs and implements solutions, collaborates with product stakeholders, drives coding standards and engineering excellence, mentors and supports engineers, contributes to hiring, influences technology adoption, and owns product and feature deployment and ongoing support.

Own end-to-end product-led growth (PLG) for Prolific's self-serve B2B SaaS customers: drive acquisition, activation, engagement and retention across paid and organic channels, build onboarding and lifecycle programs, define PQLs, optimize paid strategy, partner with Product/Sales/RevOps/CS, and run experimentation to improve funnel metrics.

Define and build quality frameworks for human data programs, partner with clients and engineering to design evaluation, recruitment and annotation strategies, implement automated checks and dashboards, investigate data integrity, and upskill teams to deliver high-quality human data at scale.

Lead and mentor cross-functional engineering teams to deliver scalable, resilient cloud-native systems. Partner with product to define technical solutions, manage technical debt, hire and grow engineers, and drive engineering best practices. Hands-on leadership with strong frontend and distributed systems experience.

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

Senior Software Engineer contributing across the full stack within a product-focused, cross-functional team. Build, deploy, and support scalable cloud-native services using event-driven architectures, improve observability and test automation, collaborate with product and customers, and champion engineering best practices to deliver high-value features.

Lead Cloud Platform and SRE teams to design, build, and operate scalable, secure infrastructure. Define SRE practices (SLOs, SLAs, error budgets), own developer-facing platform and tooling, drive IaC and GitOps adoption, ensure security/compliance (SOC2, ISO-27001), and coach engineers for technical excellence and reliability.