Top Tech Jobs & Startup Jobs

Manage and optimize talent acquisition systems, including ATS, CRM, scheduling, assessment, and reporting tools. Automate recruiting workflows, support AI tool adoption, ensure responsible and compliant use, train recruiting teams, evaluate vendors, coordinate technology implementations, and improve processes through research and cross-functional collaboration.

Supports and optimizes talent acquisition systems, including ATS, CRM, scheduling, assessment, and reporting tools. Automates recruiting workflows, implements AI-powered tools, improves processes, supports vendor evaluations, and ensures responsible technology use. Trains recruiters and hiring teams, contributes to systems changes and adoption, researches emerging recruiting technologies, and partners cross-functionally on scalable process improvements.

Lead end-to-end technical recruiting across Engineering, Product, Data Science, Analytics, Design, and Research. Partner with hiring managers, source candidates, conduct interviews, extend offers, build talent pools, coach interviewers, track hiring metrics, improve recruiting processes, and lead talent acquisition initiatives while ensuring a strong candidate experience.

Lead end-to-end technical recruiting across engineering, product, data, design, and research. Partner with hiring managers, source candidates, conduct interviews, manage offers, build talent pools, coach interviewers, monitor hiring metrics, and improve recruitment processes. The role also leads talent acquisition initiatives and recruitment campaigns while ensuring strong candidate and hiring manager experiences.

Build, calibrate, and scale Bayesian Media Mix Models and other econometric/time-series machine learning models for marketing measurement. Automate model validation and monitoring, productionize reproducible pipelines, and partner with decision scientists and marketing leadership to translate model outputs into business decisions.

Own end-to-end analyses to quantify business impact of frontend platform changes, define and track technical and behavioral metrics, design and analyze A/B tests, partner with engineering and design during discovery, and scale decision-science methodologies across the organization to inform strategic platform decisions.

Lead fraud-related analytics and decision science for payments: analyze large datasets, build and validate statistical/ML models, define KPIs, enable self-service dashboards, and partner cross-functionally to optimize fraud detection and payment product safety.

Own a product area within Marketplace, set vision and objectives, prioritise opportunities, run discovery and A/B tests, define requirements, manage roadmaps with Design, Engineering and Analytics, and deliver measurable improvements to user experience and revenue.

Own product vision and strategy for a marketplace area. Define objectives, prioritise opportunities, run discovery, scope solutions, collaborate with Design, Engineering, Analytics and Data Science, manage roadmaps, run A/B tests, and deliver high-quality, data-driven product outcomes that improve member experience and revenue.

The Engineering Manager will lead a team focusing on IAM, TPRM, and Cyber Risk Management, promoting secure access controls and compliance solutions.