Top Tech Jobs & Startup Jobs

Lead technical direction and evolution of Bumble's recommendations platform: design and operate large-scale distributed systems for retrieval, ranking, serving, experimentation, and feedback loops; mentor engineers, define architecture and observability standards, drive platform initiatives, and contribute hands-on to prototypes and production code with strong ML and Generative AI focus.

Lead development of scalable, secure Android features on Bumble using GCP. Drive full lifecycle delivery, own architecture, mentor engineers, apply AI tools to improve productivity, and collaborate with product and design to ship high-quality user-facing features.

Design, implement, and maintain scalable Android features using GCP. Own full lifecycle delivery, lead architecture, mentor junior engineers, collaborate cross-functionally, and apply AI tools to improve productivity and quality.

Lead and scale workforce identity automation, owning lifecycle provisioning, SSO/MFA integrations, HRIS and IdP integrations, and identity governance. Drive monitoring, troubleshooting, incident response, and audit readiness (ITGC/SOX). Mentor junior engineers and define identity architecture, tooling, and automation best practices to improve reliability and compliance across enterprise identity systems.

Design, build, and deploy production ML models and scalable pipelines to improve recommendations, ranking, and personalization. Own end-to-end workflows from data exploration and feature engineering to training, evaluation, experimentation (A/B tests), and production deployment while applying responsible AI practices.

Lead and execute high-quality motion design and animation across global campaigns, social, and marketing. Own complex briefs from concept to delivery, develop motion guidelines, collaborate with creatives and agency partners, present to stakeholders, oversee post-production, and manage workload in a fast-paced environment.

Lead design and scaling of production AI agent systems for Bee, architect Python services and agent workflows (PydanticAI, GCP), define prompt/response schemas and fallbacks, build evaluation/experimentation and observability, and partner across Product, Design, and Data to deliver responsible AI-driven product features.

Manage end-to-end ad operations for direct and programmatic campaigns: trafficking, QA, troubleshooting delivery and measurement, pacing/flight management, partner support, performance analysis, reporting, governance, and process improvements. Collaborate cross-functionally to ensure clean setups, accurate tracking, and scalable ad tech workflows while using AI tools to streamline operational tasks.

Manage end-to-end localisation projects for product and marketing, coordinating stakeholders, freelancers, and vendors to deliver multilingual content on time. Oversee timelines, scope, quality, and process improvements, support TMS and automation workflows, maintain localisation documentation, and drive operational excellence across localisation workflows.

Lead technical strategy and build production-grade recommendation, ranking, and personalization ML systems. Design, deploy, and scale models and ML pipelines (Spark, Airflow), develop/fine-tune LLMs and AI Agents, run experimentation (A/B tests), mentor senior ICs, partner cross-functionally, and embed responsible AI practices.