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

The Product Manager will own the full user funnel and reimagine onboarding and engagement by leveraging AI personalization. Responsibilities include understanding user needs, leading AI-driven initiatives, building an experimentation practice, and collaborating across teams to improve the user journey.

Define AI-powered analysis opportunities, build conversational interfaces for data insights, drive AI adoption, and collaborate cross-functionally to enhance user experience in Airtable's AI features.

As a Full-Stack Engineer at Airtable, you'll develop customer-focused features, collaborating with cross-functional teams and owning end-to-end implementation.

As a Software Engineer at Airtable, you will develop and implement features, collaborate with cross-functional teams, and work with modern web technologies, focusing on backend development.

As a Product Backend Engineer at Airtable, you will design scalable systems, implement user-driven features, and collaborate with cross-functional teams to enhance performance and architecture.

Design and maintain financial data models, develop data pipelines, create dashboards, and enable self-service data access for Finance stakeholders, leveraging AI for analytics.

The Analytics Engineer will build data infrastructure, manage data integrity, create dashboards, and enable data-driven marketing decisions. This role requires AI tool integration in daily work and collaboration with marketing stakeholders for insights and strategy.

The AI Analytics Engineer will build scalable AI-powered analytics infrastructure, design evaluation frameworks, and drive cross-functional adoption, transforming how analytics are approached within the organization.

Manage Airtable's AI Product engineering team, driving user-facing AI experiences, rapid feature iteration, and team development while collaborating with product and design stakeholders.

Design and maintain scalable data pipelines and solutions for business decision-making, improving data warehouse performance, and ensuring data accuracy.