Jobs at Prolific

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.

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.

The People Experience Generalist will support the global team through people operations, enhance employee experience, manage HRIS, and assist with onboarding and engagement initiatives.

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.

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

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.

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 role involves training AI models using accounting expertise, including evaluating performance and providing feedback on tasks like financial statement interpretation and tax analysis.

The role involves training and evaluating AI models using real accounting expertise, focusing on financial reporting and management accounting tasks.

The AI Training Specialist will train and evaluate AI models, focusing on tasks like analysis and annotation. Participants must complete verification tests and have experience as AI trainers.

Help train and evaluate AI models with accounting expertise. Complete tasks like analyzing and annotating financial data for AI training.

As an AI Training Specialist, you will train and evaluate AI models, complete AI training tasks, and improve AI performance. Skills verification is required, alongside attention to detail and reliable internet access.

This role involves training AI models using accounting expertise, evaluating AI performance in accounting tasks, and providing feedback for model improvement.

The role involves training and evaluating AI models, conducting AI training tasks, and providing expert feedback on their performance using machine learning skills.

Accountants will train and evaluate AI models using their accounting expertise through tasks such as analyzing and providing feedback on AI performance in accounting-related scenarios.

As an AI Trainer - Machine Learning Specialist, you will provide expert feedback on AI models, complete AI training tasks, and assess AI performance. Candidates must exhibit ML expertise and complete a skills verification test.

As an AI Training Specialist, you will train and evaluate AI models, complete AI training tasks, and improve model performance.

As a Finance Expert, you'll review AI-generated responses to Personal Finance scenarios, rate their quality, and provide structured feedback for improvement.