Top Tech Jobs & Startup Jobs

Own and scale lifecycle marketing for a product-led, self-serve business across onboarding, activation, retention, reactivation, and expansion. Audit existing programs, define behavioral segments and PQL signals, launch email and in-app journeys, run experiments, analyze funnel and retention metrics, and document lifecycle processes. Partner with Product, Sales, RevOps, Customer Success, and Marketing during a three-month fixed-term contract.

Own the end-to-end PLG strategy for Prolific's self-serve funnel: drive acquisition, activation, engagement and retention. Develop and optimise onboarding, lifecycle and in-product messaging, referral programmes and paid acquisition across search, social and display. Improve organic growth via SEO and content, define PQLs, partner with Product, Sales, RevOps and CS, and lead data-driven experimentation to measure and optimise funnel performance.

Build and maintain scalable dbt data models, pipelines, macros, tests, documentation, and semantic layers. Develop trustworthy LLM-powered data transformations and agentic workflows with evaluation, monitoring, governance, and human oversight. Maintain analytics infrastructure supporting BI and natural-language querying, translate technical concepts for stakeholders, mentor team members, and collaborate with product, engineering, and BI teams.

Own the end-to-end success lifecycle for strategic customers developing frontier AI models. Drive onboarding, adoption, consumption, expansion, renewals, advocacy, and value realization. Serve as a trusted advisor to executive, research, technical, and business stakeholders; lead business reviews, develop success plans, forecast consumption, mitigate risks, and coordinate cross-functional teams. Improve customer-success playbooks and represent customer outcomes through case studies and advocacy.

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.

Lead full-cycle talent acquisition for Prolific’s Product and Design teams. Partner with senior leaders to develop hiring strategies, source specialized and senior talent globally, manage candidates from outreach through offer, use hiring data and market insight to guide decisions, improve recruitment practices and technology, calibrate interviewers, and strengthen employer branding and diversity.

Manage and optimize production Kubernetes clusters on GKE using Terraform, build secure and scalable cloud infrastructure, and develop golden paths and self-service automation for developers. The role supports cloud compliance standards, provides technical expertise on GCP and Kubernetes, maintains infrastructure documentation and solutions, and participates in an on-call rotation. Experience with AWS, CDK, Datadog, and cloud security practices is advantageous.

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.

Build practical machine learning, statistical, and data science systems for Prolific’s participant marketplace. The role focuses on modeling participant supply, demand, and quality; improving matching to studies; validating useful signals; designing experiments and metrics; and deploying production-ready solutions. The scientist will independently shape ambiguous problems, select appropriate approaches ranging from classical statistics to LLMs, and collaborate with product, engineering, and Supply Data Science specialists.

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.