Solutions Architect (Pre-Sales)

Role overview Serve as the technical partner to engineering teams evaluating real-time voice and video infrastructure. Working alongside sales, you will understand customer goals, design suitable architectures, and build live demonstrations and proofs of concept that help teams move from early evaluation to production. The role also brings customer feedback back to product and engineering teams.

Responsibilities - Lead technical discovery and architecture discussions for strategic customer opportunities, from initial needs through technical evaluation. - Advise on cloud architecture and deployment options, including self-hosted environments and managed cloud services across major cloud providers. - Build tailored, reusable demonstrations and reference applications such as voice agents, video pipelines, and telephony integrations. - Define proof-of-concept scope and success measures, then guide customers through implementation toward production. - Help customers reason about connectivity, infrastructure, latency, scale, and reliability. - Create developer-facing material such as guides, articles, webinars, and conference presentations, and share field learnings with product and engineering.

Requirements - At least four years in solutions architecture, sales engineering, or customer-facing engineering, or comparable hands-on engineering experience with strong customer skills. - Practical experience architecting, deploying, and debugging applications on AWS, GCP, or Azure. - Familiarity with containers, Kubernetes, infrastructure as code, and networking concepts such as load balancing, DNS, and firewalls or NAT. - Ability to analyze end-to-end latency and connectivity across architecture, network paths, compute, and model choices. - Strong programming ability in at least one of Python, TypeScript/Node, or Go. - Clear communication skills for technical demos, presentations, and writing.

Nice to have - Understanding of real-time media protocols and their quality and latency trade-offs, such as WebRTC, RTP/SRTP, or WebSockets. - Familiarity with voice AI components, including speech recognition and synthesis, language model integration, turn detection, and telephony/SIP. - Technical writing, open-source contributions, or experience speaking at meetups or conferences.

Benefits and work setup - Opportunity to contribute to open-source software and work on technology intended for broad impact. - Salary and equity package, health, dental, and vision benefits, and flexible vacation policy.