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

Own and engineer the GTM stack: Salesforce as system of record and HubSpot as marketing system, build and maintain integrations and data flows, deploy agentic AI workflows, implement observability and change management, and partner with Sales, Marketing, Analytics, and Billing to ensure reliable revenue operations.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Own long-term technical relationships for strategic accounts, drive architecture reviews, deepen product adoption, coordinate internal teams, lead executive reviews and on-site launches, surface product feedback, and build TAM playbooks.

Build and own B2B SaaS demand generation campaigns across paid, email, content, webinars, retargeting, and ABM. Manage campaign calendars, lead scoring, routing, attribution, and reporting while partnering with sales leadership to support pipeline growth. Run channel experiments, optimize for qualified pipeline, coordinate field events, and help scale the demand generation function for technical buyers and a rapidly growing sales organization.

Own commercial contracting, privacy and data-protection (GDPR, CCPA/CPRA, HIPAA) programs, corporate governance, IP/open-source policy, and telecom/AI regulatory posture. Be the in-house legal function: build playbooks, support Sales/Product/Engineering, and manage outside counsel to keep deals and product shipping moving quickly.

Own and grow mid-tier GSI and ecosystem partnerships, run technical partner conversations, build a repeatable partner program from scratch, connect sales and special projects, and convert partner interest into trackable pipeline and real business outcomes.