Top Tech Jobs & Startup Jobs in San Francisco, CA

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.

Commercial Counsel supporting enterprise sales by negotiating complex AI SaaS agreements and advising sales, marketing, channels, and customer success teams. The role covers privacy, security, AI regulatory matters, contract templates, playbooks, and process improvements. It requires substantial commercial technology law experience, SaaS or AI in-house experience, strong negotiation and communication skills, and familiarity with evolving privacy and AI regulations.

Support two Engineering and Product leaders through calendar management, meeting coordination, travel planning, expense management, and cross-functional communication. Organize executive and team offsites, build community, track action items, and improve workflows. The role requires strong organization, discretion, adaptability, communication, relationship-building, and the ability to operate independently in a fast-growing company.

Own and improve Notion’s quote-to-cash business systems across CRM, CPQ, billing, finance, marketing automation, and data warehouse platforms. Build integrations, automation, AI-powered workflows, data models, validation, reconciliation, and monitoring to ensure accurate billing, revenue reporting, forecasting, and pipeline data. Partner with Sales, Deal Desk, Billing Ops, Revenue Accounting, and Data Engineering while establishing strong development, testing, release, access, and documentation practices.

Designs and builds scalable ETL infrastructure, trusted core datasets, data pipelines, automated workflows, and self-service data tools. Partners with data scientists and business stakeholders to define requirements, monitor pipelines, establish delivery SLAs, reduce operational costs, and support product and business decision-making. The role requires strong SQL, data modeling, cloud data platform, object-oriented programming, and AI-enabled data development expertise.

Own full-cycle recruiting across People, Legal, and Finance, from sourcing through offer and close. Partner with hiring managers, develop talent strategies for specialized roles, conduct market research and targeted outreach, and deliver a high-touch candidate experience. The recruiter will advise leaders, navigate complex hiring challenges, use data and AI-enabled tools, and improve recruiting efficiency and outcomes in a fast-paced environment.

Supports monthly, quarterly, and annual close activities, including journal entries, AP and cash reconciliations, flux analysis, and documentation. Helps establish scalable global accounting processes, coordinates international statutory audits, supports tax and cross-functional partners, and strengthens controls, reporting, and financial statement accuracy. The role also uses AI tools such as Claude to improve reconciliation analysis, audit support, documentation, and quality checks.

Lead end-to-end brand campaigns connecting product, customer stories, and AI value. Develop concepts, manage cross-functional execution with Creative, Product Marketing, and Growth, integrate brand and performance media, define KPIs, analyze results, and ensure cohesive Notion brand expression across regions.

Lead Notion’s People Operations team and strategy, including employee lifecycle workflows, Total Rewards operations, compensation and benefits administration, HR systems, automation, service delivery, controls, and audit readiness. The role combines team leadership with hands-on process design, AI-enabled workflow development, cross-functional partnership, and operational improvement. It is based in San Francisco with in-office work required Mondays, Tuesdays, and Thursdays.

Lead the strategy and operating model for self-optimizing paid marketing systems. The role connects paid-growth channels, audiences, creative, measurement, experimentation, automation, and agentic infrastructure across Meta, LinkedIn, Google, and ChatGPT. Responsibilities include improving acquisition and activation measurement, guiding experiments, making kill-or-scale decisions, managing increasing paid spend, and partnering cross-functionally to build repeatable demand-generation systems.