Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead product vision and roadmap for Nebius’s agentic infrastructure ecosystem. Identify customer needs, prototype and validate AI infrastructure concepts, define developer experiences, and guide successful products from discovery through production adoption. Partner closely with engineering, design, customers, developer relations, sales, marketing, and external technology partners. Build integrations, reference architectures, and ecosystem partnerships while balancing technical, performance, security, reliability, and cost considerations.

Build and manage relationships with venture capital platform teams, founders, and AI startups. Develop and execute founder dinners, investor roundtables, portfolio gatherings, and other ecosystem programs. Lead outreach, audience development, partner coordination, event execution, and follow-up while collaborating with VC Alliances and Sales teams. Track engagement, program performance, startup pipeline influence, and ecosystem insights to improve community activation and support Nebius’s startup growth strategy.

Processes carrier and vendor invoices, manages approval and payment follow-up, maintains transport documentation, updates shipment statuses, and supports transport team administration. Coordinates with carriers, vendors, finance, and internal approvers to resolve discrepancies, track shipments, retrieve audit records, onboard vendors, and improve administrative workflows.

Generate and qualify US sales pipeline for AI cloud solutions through outbound outreach and inbound lead qualification. Conduct discovery calls, assess BANT criteria, uncover technical and budget needs, and coordinate handoffs to Account Executives. Represent Nebius at technology events, gather market intelligence, monitor outreach metrics, and share customer feedback with Product and Marketing teams. The role requires knowledge of AI and cloud trends, GDPR, and B2B sales development.

Manage external GPU compute partnerships supporting customer inference workloads. Responsibilities include sourcing and evaluating providers, negotiating commercial terms, coordinating agreements and onboarding, managing capacity changes and escalations, reconciling SLAs and invoices, securing service credits, and maintaining visibility into capacity, spend, commitments, renewals, and provider performance. The role partners closely with GTM, technical, Legal, Finance, Procurement, Security, and Accounts Payable teams.

Leads Nebius’s customer marketing content strategy and visual storytelling across video, social, podcasts, campaigns, web, events, and sales enablement. Builds AI-powered content repurposing systems, directs and produces customer films, manages agencies and freelance crews, develops the brand’s visual identity, and expands earned and partner distribution. The role requires hands-on filming, sound, directing, editing, technical credibility with AI audiences, and measurement of reach, brand impact, and content-influenced pipeline.

Own operational procurement for U.S. network connectivity, IP resources, and data-center services. Responsibilities include supplier sourcing, RFQs, proposal evaluation, negotiations, contracts, purchase orders, invoices, payments, onboarding, and compliance. The role partners with Engineering, Finance, Legal, and Data Center teams and supports global infrastructure projects. Required expertise includes telecommunications and data-center supplier markets, procurement systems, commercial evaluation, and stakeholder management.

Leads product and technology communications for Nebius’s AI cloud platform. Develops launch strategies, media plans, messaging, and technical storylines; builds relationships with technology, AI, developer, creator, and podcast media; manages pitches, briefings, and speaking opportunities; prepares spokespeople; and measures communications results. The role translates complex AI and infrastructure concepts into credible stories for technical and enterprise audiences while partnering with product, infrastructure, marketing, and communications teams.

Resolve complex customer technical issues across Linux, networking, security, Kubernetes, cloud, storage, and ML environments. Diagnose problems, automate workflows with Python and Bash, support model deployment and inference pipelines, communicate resolutions, escalate unresolved issues, and maintain troubleshooting documentation. The role requires rotational shifts or on-call availability and remote work in the USA.

Own the strategy, roadmap, outcomes, launch, and adoption of a high-performance AI inference platform. Coordinate multiple engineering teams across APIs, routing, performance, reliability, and enterprise features. Partner with engineering and research to improve scalability, reliability, and cost efficiency; conduct customer research and proofs of concept; and monitor AI models, inference economics, and market needs to guide product decisions.