Top Tech Jobs & Startup Jobs

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.

Lead mechanical and thermal system design for AI supercomputer hardware, from concept through production. Responsibilities include CAD modeling, FEA, tolerance analysis, prototyping, reliability testing, thermal management, supplier collaboration, manufacturing support, product launches, and mentoring engineers. The role focuses on chassis, enclosures, cooling systems, high-power connections, and validation of mission-critical data center hardware.

Lead and scale APAC deal strategy as a hands-on commercial leader. Partner with account teams on high-value, complex deals to develop proposals, ROI analyses, negotiation strategies, and value narratives. Build repeatable frameworks, tools, and AI-enabled deal workflows, and mobilize cross-functional stakeholders (Pricing, Finance, Legal, Product) to close strategic, first-of-kind commercial opportunities.

Advise strategic technology partners on OpenAI-powered solutions, owning technical strategy, architecture, enablement, deployment quality, and production adoption. Lead discovery, workshops, prototypes, proofs of value, and enterprise AI implementations spanning models, applications, data, integrations, identity, security, governance, evaluation, and reliability. Build partner self-sufficiency through reusable architectures, training, and mentorship while coordinating OpenAI specialists and influencing product and ecosystem strategy.

Own the architecture, deployment, integration, validation, automation, and operation of NX and Teamcenter engineering applications. Build reliable PLM workflows for parts, BOMs, revisions, migrations, lifecycle states, and releases. Develop installers, diagnostics, regression tests, observability, and recovery tooling while partnering with hardware engineering, infrastructure, vendors, and contractors to create a dependable engineering environment.