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

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.

Design, build, and ship full-stack features for Guardian's monitoring platform, ensuring production reliability and code quality.

Lead technical enablement for Solutions Engineering while designing and deploying AI-powered workflows and agents to scale enablement. Deliver training, define competency frameworks, measure readiness, automate repeatable activities, and partner cross-functionally to drive adoption and impact across GTM, Product, and RevOps.

The Full Stack Engineer will design and build features for LaunchDarkly's Observability product, focusing on Infrastructure-as-Code and enterprise integrations, while participating in architecture discussions and maintaining high engineering standards.

The Mid-Market Account Executive will acquire new enterprise customers, manage territory and pipeline, engage customers, and drive revenue growth while collaborating with teams and ensuring customer success.

The Staff Engineer will innovate software delivery, oversee observability systems, and collaborate with teams to enhance product development and reliability.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

Lead global customer marketing to drive advocacy, retention, and customer storytelling. Build executive advisory board, source and produce case studies/videos, manage advocacy/incentive programs and peer review platforms, and collaborate with lifecycle and customer-facing teams to scale onboarding, adoption, and feedback loops that inform messaging and GTM strategy.

Build and maintain scalable backend services and APIs for AI functionalities, collaborating on product development and optimizing system performance.