Top Tech Jobs & Startup Jobs in Chicago, IL

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; support SDKs, APIs, infrastructure, and deployment strategies; troubleshoot production issues; lead technical workshops; and provide customer insights to Product and Engineering. Contribute to LiveKit’s developer experience, tooling, documentation, and open-source ecosystem. Fluency in Spanish and English is required.

Lead security across applications, services, infrastructure, and developer workflows. Identify, assess, and mitigate risks; run secure code reviews, threat modeling, and architecture discussions; build automation and tooling to prevent issues; harden authentication and access control; investigate incidents and manage disclosures; partner with engineering teams to design secure-by-default APIs and deployments.

Own GTM strategic finance for a usage-based AI infrastructure business. Responsibilities include consumption revenue forecasting, deal desk governance, pricing and margin oversight, sales compensation design, quota setting, financial modeling, annual planning, and GTM KPI analytics. The role partners closely with GTM leadership and Finance to advise on investments, deals, forecasting, and business strategy while building scalable financial frameworks.

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.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

Own the LiveKit Telephony product roadmap, covering SIP trunking, native phone numbers, carrier relationships, global expansion, interoperability, reliability, call quality, pricing, packaging, and margins. Partner closely with engineering, enterprise customers, and carriers to prioritize features, improve production call experiences, establish regulatory coverage, and scale telephony infrastructure for voice AI applications.

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.

The Senior Product Engineer will build web and CLI interfaces for developers using LiveKit, focusing on product experience and user feedback. Responsibilities include writing production code, engaging with customers, and making product decisions to enhance developer experience.

Lead LiveKit’s Product-Led Growth squad across acquisition, onboarding, activation, adoption, retention, and expansion. Own the end-to-end developer growth experience, identify high-potential accounts, deepen platform usage, represent self-serve developers, and establish operating metrics for platform health. Partner closely with product, engineering, design, marketing, analytics, support, and sales while influencing strategy in a fast-growing, ambiguous environment.