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

Provide corporate legal counsel on acquisitions, investments, financings, securities, tax, and governance. Lead due diligence, draft and negotiate transaction documents, assist with SEC filings, manage subsidiaries and outside counsel, support capital markets and corporate finance matters, collaborate cross-functionally, implement AI efficiency initiatives, and advise on business and legal risks.

Leads Snap’s Content Machine Learning Engineering organization, setting multi-year strategy for recommendation, ranking, content understanding, reliability, and experimentation. Oversees distributed teams, develops organizational roadmaps, partners with executives and cross-functional leaders, influences scalable architecture decisions, and builds high-performing engineering teams. The role requires strong expertise in machine learning, deep learning, AI, ranking systems, and large-scale engineering leadership.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Build and manage brand and agency partnerships for Snap’s small and medium customer organization. Responsibilities include identifying business opportunities, developing account strategies, presenting sales proposals, educating clients on Snapchat products, analyzing campaign performance, improving client outcomes, and strengthening executive relationships. The role requires strong digital advertising expertise, sales and presentation skills, cross-functional collaboration, and the ability to manage multiple strategic initiatives.

Analyze large datasets using quantitative methods, data mining, statistical modeling, and AI tools to generate actionable product and business insights. The role designs and tracks product metrics, builds dashboards and reports, identifies trends and opportunities, and supports data-driven decisions. Responsibilities include collaborating with product managers, engineers, marketers, and designers, applying statistical techniques such as A/B testing and causal analysis, and independently driving projects to completion.

Own go-to-market strategy for Snap’s brand video solutions, developing positioning, sales enablement, advertiser insights, competitive intelligence, and performance narratives. Partner with Product, Sales, Marketing Science, and leadership to launch formats, improve advertiser experiences, define KPIs, drive adoption and revenue, and scale global marketing programs. The role requires expertise in brand advertising, digital monetization, social and CTV video, executive communication, and AI-enabled workflow automation.

Lead global growth strategy and programs for Snap’s small and medium advertiser segment across Brand Ads and Lead Gen. Drive advertiser acquisition, activation, retention, and revenue growth through experimentation, customer insights, data analysis, and scalable go-to-market programs. Own segment roadmaps, KPIs, business plans, and performance recommendations while coordinating Marketing, Product, Operations, Data Science, Customer Insights, and Sales stakeholders. Present strategies and results to executives and influence cross-functional teams.

Leads Snap’s global integrity and compliance program, overseeing anti-bribery, investigations, third-party risk, trade and sanctions compliance, policy governance, risk assessments, training, reporting, and controls. Manages cross-functional compliance teams, supports executive and board governance, advises senior leaders, coordinates M&A compliance diligence, and develops scalable compliance systems and processes across a global technology company.

Leads and mentors a product engineering organization, setting technical vision, strategy, roadmaps, and measurable goals. Partners with Product, Design, Data Science, Operations, and Engineering teams to deliver scalable, reliable, secure, privacy-conscious products. Oversees distributed systems and product experiences, drives execution across strategic initiatives, develops engineering talent, hires leaders, and communicates priorities and risks to senior stakeholders.

Designs, scales, and leads machine learning systems that detect harmful content and bad actors, support content moderation, and promote platform integrity. Provides technical direction across the ML organization, partners with cross-functional leadership, improves ML infrastructure and operational excellence, and delivers performant, scalable models using modern deep learning techniques.