Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the technical direction for ML-powered experimentation and predictive insights. Build production systems spanning modeling, LLMs, retrieval, simulation, statistical methods, data pipelines, backend services, and product workflows. Develop traceable, calibrated, privacy-aware predictions; establish rigorous evaluation, backtesting, monitoring, and abstention practices; and translate insights into approval-gated experimentation workflows. Partner with engineering, product, data science, and research teams while providing technical leadership for high-quality production ML.

Lead full-cycle recruiting for engineering managers and senior leaders at OpenAI. Responsibilities include defining role requirements, developing talent maps and sourcing strategies, engaging passive candidates, assessing leadership capabilities, advising senior stakeholders, managing complex offers and negotiations, and improving leadership recruiting practices and candidate experience.

Owns large enterprise accounts, driving new business, adoption, expansion, and consumption revenue. Responsibilities include prospecting, executive engagement, complex deal strategy, technical evaluations, negotiations, forecasting, account planning, and guiding customers from AI discovery through deployment and sustained usage. Partners with engineering, solutions, procurement, and customer stakeholders to create measurable business outcomes and inform product and go-to-market strategy.

Manage advertising partner relationships from onboarding through campaign growth on OpenAI’s ads platform. Advise advertisers on campaign performance, identify expansion opportunities, and provide actionable recommendations. Collaborate with Sales, Product, Analytics, Policy, and Operations to resolve issues, improve advertiser experience, and inform product strategy. Build scalable processes and best practices while supporting responsible platform growth and maintaining user trust.

Lead and grow strategic Global Systems Integrator relationships (HCLTech, Wipro, Cognizant). Develop joint business plans, drive executive alignment, co-sell motions, pipeline generation, and partner-led deployments. Coordinate internal cross-functional teams, manage governance and performance reporting, enable partner capabilities through training and solutions, and represent OpenAI at executive meetings and industry events to accelerate enterprise AI adoption and revenue growth.

Lead end-to-end production deployments of frontier AI models for strategic customers. Responsibilities include discovery, technical scoping, system design, full-stack development, production rollout, customer adoption, delivery planning, risk management, and creating reusable tools and playbooks. Provide field feedback to Research and Product teams to improve models and product roadmaps.

Lead and close complex enterprise AI pursuits from qualification through deal signature and handoff. Build executive narratives, commercial and engagement models, align cross-functional resources, and convert first-of-kind deals into repeatable playbooks that shape product, packaging, pricing, and go-to-market motions.

Lead and develop a client platform engineering team responsible for secure, reliable endpoint foundations across macOS, Windows, iOS, Android, and Linux. Set strategy, guide architecture, oversee infrastructure and platform operations, improve observability and security, and establish effective delivery and incident-management practices. Partner across Security, IT, Product, Research, and Engineering to improve employee computing, automation, device trust, application delivery, and operational scale.

Leads site-selection strategy for powered-land and greenfield or brownfield infrastructure opportunities. Builds market maps, screening frameworks, site funnels, deployment plans, dashboards, and executive decision materials. Coordinates Power, Land, Development, Engineering, Construction, Environmental, Commercial, Legal, and Finance stakeholders to assess site viability, deal terms, capital needs, risks, approvals, and readiness. Recommends advancing, deferring, or stopping candidates and transfers qualified sites to development teams.

Manage enterprise customer accounts throughout the sales lifecycle, from pipeline generation through deployment, expansion, and renewal. Develop account strategies, own revenue targets, forecast revenue, and analyze account metrics. Partner with engineering, solutions, research, marketing, and product teams on complex customer programs. Engage C-level executives, communicate technical AI concepts, monitor market intelligence, support recruiting, and help build scalable company processes and culture.