Top Tech Jobs & Startup Jobs

Leads OpenAI’s Applied AI Architect team across Europe, developing technical strategy and operating models for strategic enterprise customers. Oversees customer journeys from discovery through production adoption, coaches senior architects, manages resources, advises executives, and coordinates Sales, Product, Engineering, Research, Security, Legal, Privacy, and deployment specialists. Ensures secure, scalable architectures, responsible AI adoption, measurable customer outcomes, portfolio health, and expansion opportunities.

Design and build scalable systems for launch readiness and feedback capture. Coordinate product launches across internal and third-party teams, create feedback loops to inform product and engineering, monitor post-launch performance, document standardized procedures, identify rollout risks and propose mitigations, and report actionable insights to drive product improvements.

Leads international growth for OpenAI’s SMB advertising business, owning advertiser acquisition, activation, retention, expansion, and revenue targets across markets. Sets country priorities, launches localized go-to-market programs, allocates budgets and resources, improves advertiser experiences, partners with Sales, Product, Engineering, Data Science, Finance, and Operations, and leads forecasting and experimentation. Manages, hires, and develops the international SMB Ads marketing team while connecting regional insights to global strategy.

Leads finance for large-scale data center development, evaluating investments, building project models, forecasting capital needs, managing construction budgets, establishing financial controls, and assessing financing structures. Partners with infrastructure, energy, construction, procurement, treasury, tax, legal, and operations teams to manage project economics, risks, funding, and portfolio performance. Prepares investment recommendations for senior leadership and builds high-performing finance teams.

Design and deploy production AI systems for financial institutions, owning integrations, data flows, reliability, observability, evaluations, controls, and launch readiness. Lead customer discovery, scope complex workflows, translate regulatory and business requirements into technical systems, and manage delivery across multiple workstreams. Build LLM-powered applications, establish benchmarks and guardrails, support production adoption, and convert deployment learnings into repeatable architectures and playbooks.

Design, build, evaluate, debug, and deploy AI systems for quantitative investment and trading firms. Develop prototypes, integrations, evaluation harnesses, production accelerators, and reusable architectures. Partner with quant researchers, engineers, executives, and security teams to address reliability, latency, cost, safety, governance, and adoption. Lead technical workshops, diagnose implementation issues, and translate customer feedback into product requirements.

Lead the global Dedicated Support Engineering function by defining its strategy, building the organization, establishing enterprise customer engagement and technical ownership standards, leading critical escalations, improving reliability, and using AI and automation to scale proactive support. Partner with executives, customers, Product, Engineering, Sales, and Technical Success to drive measurable improvements in investigation quality, mitigation speed, customer confidence, and operational risk reduction.

Lead cross-functional technical programs for ChatGPT multimodal products, spanning production-signal mining, model evaluations, data pipelines, research-to-production parity, inference, GPU capacity planning, multilingual data collection, and voice and image-generation launches. Establish operating mechanisms, metrics, ownership, and decision processes while coordinating research, engineering, product, Human Data, safety, vendors, and external partners.

Lead commercial legal support for OpenAI's business transactions, negotiating agreements, providing legal advice, and monitoring compliance with regulations.

Build and operate Kubernetes-based controllers, distributed services, APIs, and provisioning systems for OpenAI’s global GPU compute infrastructure. Manage machine and cluster lifecycles across hardware platforms and providers, including network boot, firmware, operating-system images, drivers, configuration, upgrades, recovery, and decommissioning. Improve reliability, concurrency, throughput, latency, and reconciliation while handling partial failures. Integrate new sites and GPU hardware generations and collaborate with hardware, networking, data-center, and infrastructure teams.