Jobs at Prolific

Full‑stack senior engineer building and supporting production web and cloud systems for frontier AI customers. Collaborate directly with customers and cross‑functional teams to design, implement, deploy, observe, and iterate on scalable solutions, respond to incidents, and balance startup speed with engineering reliability. Hybrid role in San Francisco (1–2 days/week).

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

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.

The Data Quality Engineer ensures the quality and integrity of data in studies, developing measurement systems, automation, and conducting analysis to uphold standards across projects.

In this role, you will recruit and engage specialized participants for AI projects, ensuring seamless collaboration with delivery teams and optimizing recruitment processes to meet client needs.

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.

The Participant Recruitment Partner will identify and engage top-tier participants, manage client-specific recruitment operations, and enhance the participant pool quality through data-driven insights and collaboration.

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 Partner Growth Manager will build executive partnerships, drive revenue growth across the partner ecosystem, and represent Prolific at industry events, focusing on relationships in the US research and SaaS sectors.

Lead and coach cross-functional engineering teams to deliver scalable, resilient cloud-based systems. Drive technical design, manage delivery, hiring, onboarding, performance, and technical debt. Collaborate with product to define roadmap and ensure high-quality customer-facing frontend and backend solutions.

Provide high-volume, empathetic participant support: investigate and resolve account, payment, verification, and hold issues; escalate technical or policy problems; identify trends and drive operational improvements; collaborate cross-functionally to advocate for participants; own support-led initiatives, documentation, and process improvements to scale support quality and efficiency.

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

The Strategic Account Executive will drive customer adoption and growth in the US market, managing complex sales cycles and upselling to AI training customers while fostering strong relationships and ensuring customer satisfaction.

As a Strategic Account Executive, you will drive sales cycles with frontier AI labs, focusing on research, product management, and strategic partnerships while understanding customer needs and workflows.

The Strategic Customer Success Manager will ensure customer success in AI projects by leading onboarding, engagement, and adoption while collaborating with various teams.

Build and validate verification systems to identify high-quality expert participants. Define problems, generate hypotheses, run experiments, prototype ML/statistical solutions, and turn approaches into production-ready models while collaborating across teams.

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.

The VP of Marketing will lead Prolific's marketing strategy focused on enterprise B2B growth, managing a global team and driving demand generation, positioning, and brand awareness efforts.

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.