Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads sales enablement and go-to-market strategy for Microsoft’s retail and consumer goods industry. Develops AI transformation narratives, identifies repeatable customer and commercial patterns, creates discovery methods, business-value frameworks, activation kits, and playbooks, and scales successful outcomes across field teams and partners. Supports strategic pursuits, pipeline acceleration, executive engagements, and deal closure while collaborating with sales, engineering, marketing, consulting, customer success, and partner organizations.

Lead the design, development, deployment, and operation of Azure regional networking infrastructure spanning router hardware, SONiC, optical systems, and distributed orchestration. Develop maintainable code, improve reliability and observability, apply AI-driven engineering, coordinate cross-functional projects, and provide technical leadership across engineering, hardware, supply chain, datacenter operations, research, and external partners.

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.

Lead the Prism engineering team, an internal AI productivity platform. Manage and develop software engineers, define and execute the AI platform roadmap, oversee AI infrastructure such as model-routing and evaluation tools, and partner with internal developer customers to drive adoption. The role requires people management, AI developer-tooling expertise, platform engineering experience, and the ability to deliver rapidly in an ambiguous, greenfield environment.

Provides registered client service and administrative support to private wealth and financial advisors. Responsibilities include managing client accounts, processing money movement and securities orders under direction, answering account questions, onboarding clients, maintaining documentation, supporting digital tools, coordinating calendars and meetings, preparing expenses, and assisting with marketing and business planning. Requires active securities licenses, financial services knowledge, strong organizational and interpersonal skills, and advanced Microsoft Office proficiency.

Build datasets, evaluations, and scalable data infrastructure for improving frontier AI models on biological and scientific tasks. Analyze model failure modes, design rigorous evaluations, run experiments, and collaborate with AI labs and scientists to translate expert judgment into reliable evaluation criteria. The role combines software engineering, biology, and frontier AI research in an ambiguous, rapidly evolving environment.

Own brand strategy and activations from vision through campaign execution and results. Translate ideas into structured workstreams with goals, owners, briefs, timelines, and success measures. Coordinate Creative, Media, Social, Partnerships, Insights, Product Marketing, Legal, Compliance, and agencies. Manage talent and brand partnerships, social execution, calendar alignment, cross-functional dependencies, and performance readouts. The role requires strong writing, campaign delivery experience, multi-workstream management, and agency and brand-side experience.

Build and deploy machine learning models for identity, credit, fraud, and other risk domains. Lead research, model development, deployment, monitoring, and maintenance while partnering with Engineering, Product, Design, and Operations. Develop scalable modeling frameworks and integrate LLMs to improve analysis and insights. Identify data-driven product opportunities, solve cross-functional risk problems, and communicate findings to technical and non-technical stakeholders.

Own paid social strategy and execution across major platforms, managing multi-million-dollar budgets and full-funnel campaigns. Lead creative testing, attribution, measurement, channel experimentation, and AI-powered marketing workflows. Partner cross-functionally with Engineering, Brand, Web, Sales, Communications, and Product Marketing to drive pipeline and revenue. Test emerging channels, establish success criteria, scale effective tactics, and document paid acquisition playbooks.

Lead the Prism engineering team, managing software engineers and delivering SoFi’s internal AI productivity platform. Define and execute the AI platform roadmap, oversee foundational infrastructure such as model-routing, harness wrappers, and programmatic evaluations, develop engineering talent, and partner with internal developer customers to drive adoption. The role requires experience with AI-powered developer tooling, internal platforms, people management, greenfield engineering, and rapid iteration in ambiguous environments.

Conduct applied AI research and build foundation models from design through training, evaluation, validation, and deployment. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Lead research initiatives involving large deep learning models, optimization, self-supervised learning, robustness, explainability, and fine-tuning. Translate research into production systems, develop platform or solution-level code, and guide long-term research agendas with measurable customer and business impact.

Leads applied AI research and strategic direction for foundation models and large-scale machine learning systems. Responsibilities include designing, training, evaluating, validating, and deploying models; pursuing novel research; collaborating with engineering, product, and data science teams; mentoring scientists and managers; translating research into business outcomes; and representing the company in the research community. Focus areas may include LLMs, behavioral models, optimization, fine-tuning, data preparation, and scalable production AI.

Develop and deploy scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, infrastructure utilization, latency, throughput, and cost. Own complex AI architecture, define reliability objectives, lead technical reviews, ensure security and compliance, contribute to foundational AI roadmaps, and mentor engineering staff.

Own full-cycle recruiting for senior and leadership roles, advise executives and hiring teams, develop sourcing and workforce strategies, improve interview and calibration processes, analyze recruiting data, promote inclusive hiring, manage candidate relationships and offers, and mentor recruiters without direct people-management responsibility.

Build technical foundations, lead engineering and product vision, and deliver end-to-end growth experiments. Use data, customer research, and product intuition to identify opportunities that improve activation and engagement. Develop polished React interfaces, AI and coding-agent systems, and scalable experimentation practices while mentoring engineers and collaborating cross-functionally.