Top Tech Jobs & Startup Jobs

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.

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.

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; guide customers on APIs, SDKs, infrastructure, and deployment. Troubleshoot production issues, lead technical workshops, translate customer needs into product insights, and contribute to LiveKit’s open-source ecosystem. The role requires strong backend or infrastructure engineering experience, customer-facing communication, and fluency in Spanish and English.

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.

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.

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.

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.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.