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

Manage the SF office day-to-day: greet visitors, open/close office, maintain supplies and common areas, coordinate vendors and onboarding logistics, troubleshoot office tech, and support events and workplace projects.

The role involves building tools for engineers, improving CI/CD processes, optimizing deploy pipelines, and enhancing developer workflows.

Identify and engage new prospects through multi-channel outreach (calls, email, LinkedIn). Hit monthly meeting targets, qualify leads, find decision makers and champions in enterprise accounts, and maintain knowledge of AI industry trends to have technical conversations with prospects.

As the Head of Finance, you will lead the finance function, managing forecasting, budgeting, performance monitoring, and cross-functional partnerships, while communicating financial strategies to executives and investors.

Build and own the companys core data foundation: design data models, pipelines, and trusted metrics connecting product usage, accounts, billing, and revenue. Partner with Product, Engineering, and GTM teams to improve data quality, create self-serve reporting, and automate workflows using AI. Balance foundational architecture with urgent business needs and enable consistent definitions and visibility across Sales, RevOps, Marketing, Finance, and Product.

Provide hands-on developer support for Braintrust's AI observability platform: debug Python/TypeScript integrations, reproduce bugs, collaborate with Engineering, own developer communications, write docs and tooling, participate in on-call rotations, and feed product feedback to improve developer experience.

The Enterprise Account Executive will develop sales strategies, engage technical teams, and manage the sales process including prospects, contracts, and customer retention.

The Solutions Engineer will partner with the sales team, engage with customers to understand their needs, and deliver technical presentations while enhancing product documentation. The role requires interfacing with technical stakeholders and solving complex sales opportunities.

As a backend engineer, you will build AI development tools, design features for LLM performance insight, and manage data pipelines.

The Cloud Infrastructure Engineer will develop and maintain infrastructure using Terraform and Kubernetes, support multi-cloud deployments, and improve CI/CD processes.