Top Tech Jobs & Startup Jobs

Lead high-stakes technology negotiations from strategy to signed agreement for data platforms, infrastructure, observability, and enterprise SaaS. Develop fact-based negotiation plans, align cross-functional stakeholders, shape complex commercial structures (cost, equity, revenue, risk), advise executives, manage supplier engagements and escalations, and convert lessons into reusable playbooks and market intelligence.

As a Senior Infrastructure Engineer, you will build and scale OpenAI's experimentation and analytics infrastructure, focusing on performance and reliability at scale while optimizing data systems.

This role involves building ML infrastructure for monetization, including developing data pipelines, model training platforms, and real-time serving systems, while ensuring performance and reliability.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.

Lead end-to-end execution and continuous improvement of OpenAI's extended workforce program. Translate priorities into plans, implement scalable processes, systems, automation, reporting, and AI use-cases; manage suppliers and stakeholders; ensure compliance; resolve complex escalations; and drive adoption and measurable program health outcomes.

As a Senior Product Engineer, you will design and build experimentation platforms, improve rollout infrastructures, and collaborate with teams to ensure efficient product launches.

As a Machine Learning Engineer, you will design and deploy models, collaborate with teams to solve business challenges, optimize performance, and maintain model effectiveness.

Lead ambiguous, high-priority user-safety and risk problems end-to-end: investigate signals, design and iterate scalable workflows, build lightweight tools/automations, coordinate cross-functional partners, and measure operational outcomes. Own launch-readiness, incident response, vendor coordination, and coach junior operators while improving speed, quality, and risk reduction.

Manage end-to-end software development for AI accelerator systems, coordinating cross-functional internal teams and external partners. Lead planning, scheduling, and implementation from design through data-center deployment, ensuring scalability and quality for AI-native silicon and system-level solutions.

Create and adapt B2B content (webinars, guides, blogs, ebooks, customer proof) that translates complex product messaging into reusable, audience-specific assets. Partner with Product Marketing and Demand Gen to plan content, build modular frameworks and templates, use performance signals to iterate, and maintain high editorial quality across interconnected campaigns.