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LiveKit is hiring an Enterprise SDR to drive top-of-funnel pipeline generation for their enterprise sales motion. You'll be the first impression LiveKit makes on engineering leaders, product organizations, and AI/ML teams at companies building voice and multimodal AI applications.
LiveKit is the infrastructure layer for real-time AI, powering voice for millions of ChatGPT users, enabling drone teleoperation at Skydio, and serving as the backbone for roughly 25% of 911 emergency calls in the U.S. The company has raised $181M from investors including Index Ventures, Altimeter Capital, and Salesforce Ventures, with over 300,000 developers and 5,000+ companies running production workloads on the platform.
In this role, you'll own outbound pipeline generation targeting Fortune 2000 accounts across healthcare, financial services, and technology verticals. You'll partner closely with enterprise account executives on account strategy, co-owning named accounts and running coordinated multi-threaded plays to break into large organizations. Your responsibilities include researching target accounts to craft highly personalized, technically credible outreach via email, LinkedIn, and phone; booking discovery calls and product demos; and providing full context to AEs before meetings.
You'll work closely with the broader GTM organization—marketing, solutions engineering, and product—on campaign strategy, ICP refinement, and feedback loops that sharpen the enterprise motion. You'll surface market intelligence back to product and GTM teams as you're often the first to hear what buyers care about. Success is measured by hitting and exceeding monthly and quarterly pipeline targets.
Ideal candidates have 1–3 years of SDR or BDR experience, ideally at a developer tools, infrastructure, or voice AI company. You should have genuine curiosity about technology and be able to hold intelligent conversations about why companies choose managed WebRTC platforms over self-hosted stacks. Strong written communication is essential—you know the difference between emails that get deleted and those that get replies. Experience with sales engagement tools and Salesforce is required, along with a track record of consistently meeting or exceeding quota. Comfort working in a fast-moving, early-stage environment where the playbook is still being written is critical.
Nice-to-have qualifications include background selling to engineering, DevOps, or AI/ML teams; familiarity with voice AI, real-time communications, or WebRTC concepts; experience at open-source companies with PLG motions; and experience using AI tools to accelerate prospecting and personalization at scale.
