Senior Member of Technical Staff, Voice

The Problem

36 million businesses in America need insurance—it’s not optional. 77% are underinsured. 40% have no coverage  distribution system failed them: too slow, too opaque, too confusing.

Voice is the lifeblood of insurance. Businesses call brokers. Brokers call underwriters. The industry runs on phone conversations—millions of calls per day, most of them repetitive, most of them waiting on hold.

We’re adding ~1,000 customers per month. We’ve grown 100x since last year. We’re looking to do even more this year—and that’s why we’re hiring.

Voice is how trust gets built. Voice is how deals get closed. Voice is where the industry lives.

Voice is the hardest part to make computational. Getting voice right is what separates AI demos from AI that operates. Companies like Giga (Door Dash) and Happy Robot (DHL, Ryder) are proving that voice AI can run core operations at enterprise scale. We’re building the same for insurance.

You’ll own our entire voice AI infrastructure—architecture, implementation, scaling, continuous improvement. Voice isn’t a feature ’s a core system that powers sales, operations, and customer service.

Today we have working voice agents. But we’re at 1% of where we need to be. We need to scale from hundreds of calls to thousands. From functional to exceptional.

• Build outbound at scale — Lead qualification agents calling thousands of prospects daily

• Create inbound customer service — 24/7 agents handling policy questions, certificate requests, claims

• Ship operations and underwriting voice — 20-30 minute insurance applications over the phone

• Build platform infrastructure — Move to custom infrastructure; sub-700ms latency; 10,000+ concurrent calls

• Design systems that compound — Every conversation becomes structured decision traces

• You’ve built production voice AI (not demos—significant production volume)

• You know both fast deployment (VAPI, Retell) and custom infrastructure (Pipecat, Live Kit)

• You understand telephony (SIP, RTP, WebRTC)

• You’ve achieved sub-second latency in production

• You write code with AI (Cursor, Claude Code)

• You’re 3-6 years into your career

• 3-6 years software engineering experience

• Production voice AI experience at scale

• Deep knowledge of voice infrastructure and real-time systems

• Experience with latency optimization

• Based in San Francisco or willing to relocate

• Telephony background (SIP/RTP)

• Experience with specific platforms (VAPI, Retell, Pipecat, Live Kit)

• Prior startup experience

• Salary: $170,000–$275,000 + performance bonuses & equity

• Location: San Francisco, in-office

• Health, dental, and vision insurance

• Commuter benefits

• Team meals and snacks

Voice is the highest-leverage problem in our stack. If that’s the challenge you want—send your resume and links to voice systems you’ve built.