Top Tech Jobs & Startup Jobs

Design, implement, and debug core platform software components, focusing on performance, security, and system debugging to deliver production systems.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

Partner with enterprise customers to define AI strategy, prototype and productionize Generative AI applications using OpenAI APIs. Provide technical guidance, design enterprise architectures, manage stakeholder relationships, scale best practices, contribute to open-source resources, and deliver product and research feedback.

Lead the execution of CPU, Storage, PoP, and WAN infrastructure programs managing complex deployments and technical dependencies to unlock OpenAI's compute capacity.

The Forward Deployed Engineer leads the deployment of advanced AI models, collaborates with customers, and drives technical delivery from prototyping to production. Responsibilities include system design, coding, and providing feedback to improve product outcomes.

Build end-to-end, AI-powered consumer experiences across frontend, backend, and real-time personalized systems. Prototype and ship multimodal interfaces combining text, images, and interactive UI components. Collaborate with design, research, product, and model teams to iterate using user feedback and metrics while defining architecture and engineering standards.

The Director, Compute Finance FP&A leads financial planning and forecasting for Compute & Infrastructure, evaluates investment decisions, manages models for capacity and spending, and collaborates with multiple teams to enable strategic decision-making and improve forecasting accuracy.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and tooling. Lead discovery, scope pilots, build demos/proofs, advise on safe implementation patterns, create reusable field assets, and provide product feedback across AppSec, cloud security, SOC/IR, vulnerability management, and related domains.

Partner with enterprise customers to design, build, and deploy production AI systems. Hands-on engineering: prototype, integrate, evaluate, and scale solutions while addressing reliability, latency, cost, safety, security, governance, and operational readiness. Produce reusable tooling, architectures, and guidance to accelerate deployments and drive measurable business outcomes.

Research and develop memory and personalization for frontier models: design experiments, build datasets and evaluations, implement and debug research code, and collaborate with research and product teams to deploy personalized agent capabilities.