--- title: 'Staff GTM Systems Engineer at LiveKit' canonical: 'https://feeny.ai/job/staff-gtm-systems-engineer-livekit-united-states-w4h7m69xx650' type: 'job' last_seen: '2026-11-08' --- # Staff GTM Systems Engineer at LiveKit - **Company:** LiveKit - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.ashbyhq.com/livekit/cbf7c302-9e6a-4f8d-8896-5be61ae908c1 ## Job description ## About LiveKit LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. ## About You The Staff GTM Systems Engineer at LiveKit is the technical owner and architect of the systems that power our go-to-market engine. You'll decide how our GTM stack is designed, what we build versus buy, and where we invest next — and you'll be hands-on building it: Salesforce architecture, integrations, enrichment pipelines, and the agentic workflows that help Sales and Marketing move faster and smarter. Salesforce is our system of record for revenue, pipeline, and customer data. HubSpot is our marketing layer for campaigns and lead generation, and what it captures needs to flow cleanly and reliably into Salesforce. Around them sits a growing stack of enrichment, sales intelligence, billing, and data platform tools. You'll own the architecture that ties it all together: disciplined change management, observable pipelines, data models built for AI consumption, and agentic workflows that act on GTM signals at scale — designed to serve the business for years, not quarters. This role sits at the intersection of GTM, Data, Finance, and Engineering. You'll work directly with senior leaders to shape the GTM systems roadmap, turn business strategy into technical plans, and guide decisions that span multiple teams. You'll also help grow the engineers around you, setting the technical standards and practices the team builds on. You understand the difference between owning a system and gatekeeping one. Sales lives in Salesforce. Marketing lives in HubSpot. Your job is to make sure both are governed well enough that others can work in them effectively, and powerful enough that the GTM team can do things they couldn't do before. You'll thrive as a Staff GTM Systems Engineer if you: - Are known as the go-to person for tough technical problems, and have good judgment about which ones matter most. - Think in systems and long time horizons, and can make confident architectural decisions with incomplete information. - Can clearly explain complex technical concepts and tradeoffs to engineers and executives alike. - Believe systems should be managed with engineering discipline. - Ship fast and reliably — your work holds up in production. - Are a fast learner, frequently picking up new languages and tools. - Find real satisfaction in mentoring other engineers and helping them grow. ## What You'll Do - Own the architecture of the GTM systems stack: define how Salesforce, HubSpot, enrichment, sales intelligence, billing, and the data platform fit together, and write the technical strategy that guides how it evolves. - Lead build-vs-buy and procurement decisions: evaluate vendors, run proofs of concept, assess security and integration fit, and partner with Director of GTM Systems and Analytics, Finance, Legal, and IT on selection and renewals. - Shape the GTM systems roadmap with senior leaders across Sales, Marketing, RevOps, Finance, and Engineering: align on requirements, sequence investments, make clear tradeoffs, and lead cross-functional initiatives to completion. - Own Salesforce as the engineering system of record for revenue: data model, flows and automation, validation rules, field governance, and access control. - Own HubSpot for campaigns and lead generation, along with the HubSpot-Salesforce sync — so leads, contacts, and engagement signals reach the revenue pipeline without drift or silent failures. - Build and maintain integrations across the GTM stack, and partner with GTM Analytics Engineering on reliable data flows to the central data platform. - Design and deploy agentic workflows that consume GTM data, surface actionable signals, and automate manual operations — and set the patterns and guardrails others build on. - Establish observability and change management for critical GTM systems: alerts, dashboards, and runbooks; reviewed code changes, documented config, and rollback paths. - Mentor engineers across experience levels and set the technical standards for the team. - Partner with the Billing Systems Engineer to automate the CPQ-to-Billing handoff. ## Who You Are - Extensive engineering experience in GTM or business systems, including owning a GTM stack's architecture end to end — build-vs-buy calls, vendor evaluations, and systems designed for a multi-year horizon. - Deep, hands-on Salesforce expertise — you understand the data model, have built complex flows and automation, and you think about it as an engineering system, not an admin tool. This is the primary bar. - HubSpot experience in a marketing context, including the HubSpot-Salesforce sync and what breaks and why. - Technical depth beyond the UI — you've built integrations with APIs, webhooks, and event streams, and you know when a native tool (a Flow, a Clay table, a HubSpot workflow) is the right answer versus when it's time to write code. - Agentic workflow experience — you've designed and deployed AI agents that act on GTM data in production. - Strong change management practices — you've shipped changes to live systems while protecting active deals and campaigns. - Experience influencing senior stakeholders — translating business strategy into system requirements and roadmaps. - A history of mentoring engineers, from early-career to senior. ## Nice to Have - Salesforce CPQ: approvals, order forms, discounting rules, and the closed-won-to-billing path. - SQL and data modeling fluency; familiarity with a warehouse-centric stack (BigQuery, Snowflake, dbt, reverse ETL). - Experience with billing platforms (Stripe, Zuora, Maxio) and the handoffs between GTM systems and billing. - Experience managing a GTM tooling budget or vendor portfolio. - Experience as a technical lead on a GTM or business systems team. Our Commitment to You - An opportunity to build something truly impactful to the world - Contribute to open source alongside world-class engineers - Competitive salary and equity package - Health, dental, and vision benefits - Flexible vacation policy LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io. ## About LiveKit ## Company Overview - **One-liner**: LiveKit provides an open-source framework and cloud platform for building, deploying, and scaling voice, video, and physical AI agents. - **Entity Type**: Private (Series C) - **Headquarters**: San Jose, California, United States - **Founded**: 2021 - **Founders**: David Zhao (Co-Founder and CTO) ## Core Business - **Primary industry/industries**: Developer Infrastructure, Real-Time Communications (RTC), Voice AI, Video AI, Robotics - **Target customers**: B2B; Developers, AI labs, robotics teams, and enterprises (including Fortune 500 companies) building real-time multimodal AI applications. - **Mission or purpose statement**: To build the infrastructure for the voice-driven era of computing, making it possible for every developer to build AI that can interact with the world in real time. ## Products & Services - **LiveKit Cloud**: A hosted, managed platform for deploying and scaling AI agents globally. It provides a global real-time media server network with sub-1000ms latency and 99.99% uptime, handling millions of concurrent calls. Includes telephony integration (phone numbers, SIP), full-stack observability, and an inference gateway for TTS, LLM, and STT models. - **LiveKit Agents Framework**: An open-source, high-level framework (Python/Node.js) for building AI agents. It includes tools for automatic turn detection, interruption handling, voice activity detection (VAD), and a plugin system for connecting to various AI providers. - **LiveKit Server (Open Source)**: The core open-source WebRTC Selective Forwarding Unit (SFU) that orchestrates real-time communication. Can be self-hosted or used with LiveKit Cloud. - **Integration Services**: Telephony (PSTN/SIP connectivity), Egress (recording and streaming), and Ingress (external media streams). - **Client SDKs**: Real-time SDKs for Web, Swift, Android, Flutter, React Native, Unity, Python, Node.js, Rust, C++, and ESP32. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. Total funding is $181M. - **Key Metric**: Total Funding of $181M. Over 2.5 billion calls powered annually. Over 300,000 developers use the platform. - **Notable Investors/Partners**: Index Ventures (led Series C), Altimeter Capital (led Series A), Redpoint (led Seed). Angel investors include Elad Gil, Jeff Dean (Chief Scientist, Google), Aravind Srinivas (CEO, Perplexity), Guillermo Rauch (CEO, Vercel), Amjad Masad (CEO, Replit), Mati Staniszewski (CEO, ElevenLabs), Erik Bernhardsson (CEO, Modal), Logan Kilpatrick (Product Lead, Google DeepMind), Rohan Anil (Researcher, Anthropic), Garrett Camp (Founder, Uber), Ev Williams (Founder, Twitter), and Justin Kan (Founder, Twitch). Key customer: OpenAI (built ChatGPT’s Advanced Voice on LiveKit Cloud). - **Growth Signals**: Rapid headcount growth (+7.1% monthly). Raised a $100M Series C in January 2026. Expanded from a WebRTC livestreaming project to the default infrastructure layer for voice AI. Operates in 12 countries. SOC 2 Type 2 and HIPAA compliant. ## Competitive Advantages - **Open-Source Foundation**: A large and active open-source community (over 300,000 developers) creates a strong ecosystem and lowers the barrier to entry. - **Full-Stack Platform**: Provides everything from the media server and client SDKs to the agent framework, inference gateway, and telephony integration, offering a unified, end-to-end solution. - **Proven at Scale**: Powers billions of calls annually for the world’s leading AI companies, including OpenAI’s Advanced Voice Mode, demonstrating extreme reliability and performance. - **Global Infrastructure**: A global network of media servers ensures low latency (<1000ms) and high uptime (99.99%) for real-time voice and video applications. - **Enterprise-Grade Compliance**: SOC 2 Type 2, HIPAA, and GDPR compliant, making it suitable for regulated industries. ## Strategic Focus - **Voice-First AI Infrastructure**: Doubling down on being the default platform for the emerging voice-driven computing paradigm. - **Expanding the Agent Ecosystem**: Continuously improving the Agents framework, adding new plugins, and supporting more AI models and hardware (including robotics). - **Scaling the Cloud Platform**: Investing in global infrastructure to handle increasing demand and maintain performance as usage grows. - **Enterprise Adoption**: Targeting Fortune 500 companies and regulated industries by emphasizing compliance, security, and reliability. ## Why Work Here - **High-Impact Work**: Build the core infrastructure powering the next generation of AI applications used by millions. Employees work on challenging problems in distributed systems, real-time media, and AI. - **Strong Engineering Culture**: A technical team with a high density of senior engineers. The tech stack is modern and includes Go, Rust, Python, TypeScript, WebRTC, Kubernetes, and various AI/ML tools. - **Remote-First with Hubs**: The company is remote-first but has a hybrid hub in San Francisco. Employees are distributed across 12 countries including the US, Canada, Germany, UK, and India. - **Top-Tier Investors & Advisors**: Backed by the best investors and advised by leaders from Google, OpenAI, and other top AI companies, providing a strong network and strategic direction. - **Growth Trajectory**: The company is in a high-growth phase (recent $100M Series C, rapid hiring), offering significant career growth opportunities. - **Culture**: Described as having a 5.0/5.0 employer rating on LinkedIn, with high marks for work-life balance, compensation, and career development. The company values "crazy ones" who want to build the future. ## Sources 1. [livekit.com](https://livekit.com/) 2. [livekit.com/about](https://livekit.com/about) 3. [livekit.com/careers](https://livekit.com/careers) 4. [linkedin.com/company/livekitco](https://www.linkedin.com/company/livekitco) 5. 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