Top Tech Jobs & Startup Jobs in Austin, TX

Lead design and delivery of scalable, secure iOS features using AWS services. Own end-to-end feature development, drive architecture, mentor junior engineers, apply AI tools to improve productivity, and maintain high-quality code and App Store releases.

Lead strategy and execution for in-person (IRL) features across Bumble products. Define roadmaps, write product requirements, work with designers and engineers to scope and ship, set success metrics, run experiments, and validate with users to increase real-world connections.

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.

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.

Design, maintain, and scale design system tokens, components, and documentation across platforms. Audit product experiences, partner with engineering for design-to-code parity, advocate accessibility and safety, support onboarding, define product strategy, and iterate using qualitative, quantitative, and AI-assisted insights.