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

As the first Data Scientist, you will analyze user data and AI outputs to enhance content creation, define metrics, conduct A/B testing, and collaborate closely with cross-functional teams to improve product features.

Lead top-of-funnel growth by running experiments across SEO, content, social, paid channels, and creator/affiliate programs. Use analytics to design and measure experiments, optimize site-to-signup conversion, and partner with product, engineering, and design to scale growth initiatives.

Design and run an AI-first production pipeline to generate high-volume static and video ads. Own creative output and brand identity, manage and hire designers, collaborate with media buyers and strategists, read ad performance data, and iterate assets using prompt engineering, API integrations, and automation.

Lead and scale engineering for monetization and self-serve growth: own payment/subscription systems, billing, AI usage tracking, onboarding and activation flows, discovery and lifecycle experiences. Collaborate cross-functionally, run experiments and build durable platforms, mentor engineers, and contribute to engineering and product leadership.

The role involves building and scaling backend systems, optimizing APIs, ensuring reliability and performance, and collaborating with cross-functional teams.

Own Gamma's B2B product roadmap end-to-end, driving enterprise adoption and expansion. Lead enterprise discovery, shape roadmap, partner cross-functionally with Sales, CS, GTM, legal and compliance. Ship secure, scalable integrations and admin features with engineers and designers. Define success metrics and drive revenue, adoption, and customer satisfaction while representing the company with top customers and leadership.

The role involves building and scaling application infrastructure, collaborating across teams, and shipping backend systems for high user growth and experience. Responsibilities include designing APIs, developing data models, and optimizing performance under tight deadlines.