Top Tech Jobs & Startup Jobs

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.

Lead iOS technical direction for Bumble For Friends and Plans. Design and deliver scalable Swift-based architectures, implement high-quality features end-to-end, ensure performance/reliability, mentor engineers, collaborate across disciplines, and apply responsible AI-assisted engineering practices to improve quality and productivity.

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.

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.

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.

Manage AI moderation quality program: audit human and machine moderation, run golden-set QA, analyze moderation data, drive feedback loops with Policy/Product/Operations, support calibrations, retraining, SOPs, and regulatory alignment, and assist Quality Manager on CX AI Agent QA.

Lead full-cycle recruitment across functions and levels for a six-month contract. Partner with hiring managers, proactively source candidates, manage concurrent searches, drive hiring processes from intake to offer, use data to inform decisions, maintain candidate experience, and improve recruiting tools and processes in a fast-paced environment.

Embed within billing, pricing, and fraud workflows to identify automation opportunities and build lightweight AI-powered tools (LLM/AI API integrations). Deliver prototypes (ticket triage, anomaly flagging, config validation), provide day-to-day billing support, triage issues, assist fraud monitoring, document automation for auditability, and collaborate with engineering, payments, compliance, and fraud teams.

Design, build, and scale Python-based backend systems and AI agent workflows for Bee. Implement prompt management, schema-validated LLM interactions, evaluation tooling, telemetry, and experimentation. Collaborate cross-functionally to deliver responsible, reliable AI features, mentor peers, and maintain operational excellence on GCP.

Lead design and delivery of end-to-end ML systems for recommendations, ranking, and personalization. Architect and scale ML pipelines (data processing, training, evaluation, deployment), build production models (including LLMs), drive experimentation (A/B testing), partner cross-functionally, and mentor engineers to improve product outcomes.