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

Own LiveKit Startups end to end, including program strategy, founder acquisition, accelerator and VC partnerships, partner negotiations, application review, provisioning, reporting, and monthly operations. Measure program health and improve startup outcomes while representing founder feedback internally across product, documentation, and pricing teams. The role requires startup ecosystem experience, commercial relationship management, technical credibility with developers, and strong operational rigor.

Lead LiveKit’s Product-Led Growth squad across acquisition, onboarding, activation, adoption, expansion, and retention. Own the developer growth journey, identify high-potential accounts, drive platform depth, represent self-serve developers, and establish operating metrics for platform health. Collaborate across product, engineering, design, marketing, analytics, support, and sales while influencing highly autonomous teams through judgment, clarity, and trust.

As a Senior Product Engineer, you'll build user-facing products on the LiveKit platform in TypeScript and Go while engaging with developers and contributing to strategic decisions.

Own the LiveKit Telephony product strategy and roadmap, spanning SIP trunking, native phone numbers, carrier integrations, global expansion, reliability, call quality, pricing, packaging, and margins. Partner closely with engineering, enterprise customers, and carriers to improve interoperability, regulatory coverage, and production-scale voice AI experiences. Gather customer and operational insights, prioritize initiatives, and drive a polished developer-facing product in a fast-moving environment.

The Forward Deployed Engineer collaborates with customer teams to design, prototype, and troubleshoot real-time communication and voice AI applications on the LiveKit platform.

Build web and CLI developer surfaces for robotics and physical AI; design, implement, and ship end-to-end features; engage with customers; iterate from prototype to production; contribute to product and technical decisions.

Own GTM strategic finance for a high-growth AI infrastructure company, including consumption revenue forecasting, deal desk governance, pricing and margin management, sales compensation, quota planning, financial modeling, KPI analytics, and strategic partnership with GTM leadership and Finance. The role requires advising on deals, building scalable frameworks, and translating data into actionable recommendations.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.