Top Tech Jobs & Startup Jobs

Lead research on misalignment monitoring for frontier AI systems. Design rigorous evaluations, stress-test and red-team monitors, investigate false positives and missed detections, build scalable evaluation frameworks, and translate findings into safety improvements. The role requires independent research leadership, technical execution, experimental rigor, and collaboration across research, engineering, and safety teams.

Design, build, and operate secure access proxies, gateways, credential brokers, and distributed identity infrastructure. Integrate authorization policies, observability, and identity attribution across systems. Improve performance, reliability, and multi-region recovery through testing, load validation, canaries, and failure testing. Own production support, incident recovery, migrations, APIs, client tooling, and self-service workflows while enforcing least privilege and auditable access.

Lead forecasting initiatives by building, deploying, monitoring, and maintaining interpretable statistical and machine learning models. Develop production-ready forecasts for user growth, revenue, compute consumption, customer lifetime value, and profitability. Create self-service forecasting tools, evaluate emerging forecasting methods, translate technical results into strategic recommendations, and collaborate with product, engineering, research, finance, and executive stakeholders.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access and Legal Operations. Implement least-privilege controls, audit trails, approval gates, and data minimization. Partner with Legal and operations to translate requirements into secure, auditable systems; own production reliability, observability, testing, incident response, and drive reusable privacy infrastructure.

Lead Search Integrity research by defining technical direction, developing AI and ML systems to detect spam, scams, phishing, malicious domains, prompt injections, and other adversarial web content. Identify signals across pages, links, metadata, and site relationships; build evaluations; translate integrity signals into indexing, ranking, and filtering decisions; and partner with research, engineering, safety, and integrity teams to deploy production systems.

Drive new enterprise business from pipeline generation through deal closure and successful deployment. Build customer relationships, manage complex sales cycles, achieve consumption revenue targets, and communicate technical AI concepts. Partner with engineering, solutions, marketing, product, and business teams on customer programs, market intelligence, product strategy, events, and internal team development.

Leads and develops a customer-facing Cyber Applied AI Architect team across pre-sales discovery, solution design, implementation, deployment, and adoption. Partners with customers, Sales, Solutions Engineering, Product, and Engineering to build AI-enabled cybersecurity solutions using OpenAI models, APIs, Codex, and agentic workflows. Oversees architecture, technical escalations, governance, integrations, customer outcomes, reusable assets, and team performance.

Design and ship internal People products at OpenAI, from early concepts through high-fidelity prototypes and production improvements. Partner with product, engineering, AI research, and design teams on strategy, user research, interaction design, and measurable business outcomes. Contribute to the design system, shape AI-first product experiences, and help establish design culture while working on recruiting, knowledge, automation, and talent-focused tools.

Develop pricing and packaging strategies for ChatGPT and Codex, including usage limits, credits, overages, subscriptions, and emerging monetization models. Analyze customer usage, pricing experiments, financial models, unit economics, and market dynamics to guide commercial decisions. Partner with Product, GTM, and Finance leaders, provide customer-focused pricing recommendations, and establish pricing governance, approval frameworks, and performance tracking.

Optimize frontier model inference on TPUs across model code, kernels, and hardware. Responsibilities include profiling workloads, identifying bottlenecks, improving latency and throughput, developing optimized kernels, exploring quantization, building benchmarks, validating correctness, and collaborating with researchers and engineers to support new architectures and productionize performance improvements.