A fast-growing team based in San Francisco is on a mission to empower enterprises to build AI-powered phone agents at scale. Backed by $65M from top-tier investors—including Emergence Capital, Scale Venture Partners, Y Combinator, and the founders of Twilio, Affirm, and ElevenLabs—the company is redefining how businesses communicate with their customers.
About the Role
As a Senior Infrastructure Engineer, you’ll help architect and scale the real-time systems that power millions of AI-driven phone conversations. From low-latency voice pipelines to ML inference infrastructure and enterprise-grade telephony integrations, your work is foundational to system performance, uptime, and customer experience.
What You’ll Do
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Design distributed systems: Build scalable infrastructure on Kubernetes to support real-time, high-volume voice processing with tight latency and reliability constraints
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Support ML workloads: Develop and optimize infrastructure for training and real-time inference across regions
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Integrate with telephony systems: Ensure seamless connections with enterprise-grade SIP trunks, VoIP systems, and call routing networks
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Drive observability and resilience: Implement monitoring, alerting, and incident response practices to ensure 24/7 reliability
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Scale with growth: Anticipate infrastructure challenges and design systems that keep pace with increasing call volume
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Balance new and legacy tech: Solve novel challenges that emerge at the intersection of traditional telephony and modern AI/streaming architectures
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Ensure security and compliance: Apply best practices in infrastructure security and enterprise readiness
Interesting Challenges You’ll Own
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Blending old and new: Innovate on top of legacy voice protocols using modern infrastructure
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Scaling under pressure: Design systems that keep up with unpredictable surges in call volume
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Stream-first architecture: Build for resilience, redundancy, and performance across stream-based pipelines
What Makes You a Great Fit
- 5+ years of experience building and scaling cloud-native infrastructure (AWS/GCP preferred)
- Strong grasp of system fundamentals—TLS, load balancing strategies, DNS, etc.—and a desire to go deep
- Real-time systems experience: streaming, high-throughput, or low-latency services
- Comfortable in startup environments—adaptable, hands-on, and execution-focused
- Technically opinionated but collaborative—you’re able to advocate while finding alignment
- Familiarity with tools like Kubernetes, Docker, Terraform, Cloudflare, HAProxy, Datadog, Go, TypeScript, and NVIDIA hardware
Bonus Points For
- Experience with telephony systems (SIP, VoIP, WebRTC)
- Background in ML infrastructure or GPU-powered inference
- Familiarity with audio/video processing in real-time environments
Benefits & Compensation
- Salary: $120,000–$200,000
- Meaningful equity in a high-growth company
- Healthcare, dental, vision—full coverage
- All tools and equipment provided
- Beautiful office in Jackson Square, SF with rooftop views
The team values curiosity, relentlessness, and hands-on problem solving. If you’re excited to build the infrastructure behind a new kind of human-AI interaction at scale, this could be the right place for you.
