Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads end-to-end product marketing for GitHub and Microsoft developer products, including positioning, messaging, go-to-market strategy, pricing, packaging, launches, channel activation, and seller enablement. Partners with product, engineering, business, marketing, and field teams to shape roadmaps and business models. Uses customer insights, competitive intelligence, telemetry, and technical storytelling to drive developer and enterprise adoption, particularly for AI-powered developer tools.

Leads enterprise Azure account strategies and complex, multi-year cloud deals for digital-native companies. Builds executive relationships, develops business cases, coordinates cross-functional teams, expands partner networks, and drives Microsoft revenue, Azure consumption, customer outcomes, and strategic account growth.

Leads product marketing and business strategy for Azure Databricks, including positioning, messaging, go-to-market planning, portfolio strategy, partner management, and growth initiatives. Builds alignment across Microsoft, Databricks, Engineering, Sales, Finance, and Marketing; translates technical, customer, competitive, and market insights into actionable plans; and measures impact through revenue, adoption, pipeline, consumption, and marketing performance.

Provides frontline legal support to Microsoft business clients, handling complex matters, drafting and reviewing legal materials, assessing risk, and escalating issues appropriately. Develops legal guidance, playbooks, training, and self-service resources; analyzes service data and stakeholder feedback; and improves legal workflows through technology, automation, and AI-enabled solutions. Collaborates globally with attorneys, legal professionals, business teams, and engineering partners to deliver scalable legal services.

Owns quota-carrying sales, account management, and business development for Israeli-founded startups scaling in the U.S. and globally. Builds executive relationships, identifies Azure and AI opportunities, advances strategic partnerships, and supports marketplace, co-sell, and enterprise go-to-market motions. The role coordinates Microsoft stakeholders, develops startup engagement programs, represents Microsoft in the Israeli technology ecosystem, and drives revenue and pipeline growth.

Leads strategic account growth with pharmaceutical and life sciences customers across the US. Builds executive relationships, identifies cloud, AI, data, security, and digital transformation opportunities, develops qualified pipeline, displaces competitors, and orchestrates complex enterprise deals. Partners with account teams, technical specialists, global stakeholders, and customers to drive strategic partnerships, forecast accuracy, and successful deal execution. Regular onsite customer engagement and travel are required.

Supports Forward Deployed Engineering leaders through organizational growth, transformation, workforce planning, talent strategy, and change management. The role evaluates organizational health, designs structures and operating models, identifies talent risks, strengthens retention, and develops high-performing teams aligned with business outcomes, capacity, delivery quality, and cost objectives.

Lead relationships with high-potential AI and software startups in the unmanaged SMB segment. Drive Azure and AI adoption, coordinate Microsoft technical, business, and partner resources, build executive relationships, qualify pipeline, support Marketplace and co-sell readiness, and execute deals that generate customer outcomes and Microsoft revenue.

Leads strategic customer engagements by translating business priorities into technology, AI, and security strategies and roadmaps. Builds trusted relationships with C-level technology executives, orchestrates Microsoft and partner teams, guides technical governance, drives adoption and value from Microsoft solutions, and supports account growth through consultative selling. Applies industry knowledge to identify technology opportunities, address customer threats and barriers, and deliver secure AI-enabled business outcomes.

Leads applied science strategy for AI-powered products, designing LLM evaluation frameworks, offline experiments, quality standards, and production monitoring. Builds and evaluates agentic, retrieval-augmented, and multimodal AI systems while partnering with engineering and product leaders. Translates customer and business goals into measurable outcomes, drives experimentation and launch decisions, promotes reliability and MLOps practices, mentors technical staff, and communicates findings and recommendations to diverse stakeholders.