Lead Software Engineer - Full Stack

SignalWire, Inc

2d•$145,000 - $165,000•Remote

About The Position

SignalWire is looking for an experienced full-stack engineer with strong product instincts to join as a technical lead on one of our product teams. You'll think holistically about the developer and end-user experience across our APIs, SDKs, AI Agent platform, Call Fabric, SWML, and carry the end-to-end ownership. You'll partner with engineering leadership, product, and our developer community to understand emerging capabilities in real-time AI and communications, and translate them into products developers actually want to use. We'll look to you to have a product-oriented mindset, own technical quality across the stack (performance, reliability, latency, and developer experience), and carry genuine excitement about what programmable communications and embedded AI make possible. The right person for this role moves fluidly across those domains, picks up unfamiliar systems quickly, and optimizes for customer impact.

Requirements

6+ years of practical engineering experience with demonstrated ability to operate as a technical leader.
Strong developer with demonstrable technical depth: You've built backend services, worked on frontend interfaces, debugged infrastructure issues, and made meaningful product decisions along the way.
Leverage experimental data to drive decisions and remain agile enough to pivot based on empirical findings.
Care deeply about the developer experience.

Nice To Haves

Shipped user-focused products end-to-end, from problem definition through production, ideally building 0-to-1 at a startup or high-growth company.
Hands-on experience with Ruby on Rails, TypeScript, or C.
Experience with real-time communication stacks, telecom infrastructure, or large-scale CPaaS/CCaaS platforms.
Well-versed in integrating AI-driven workflows and agents, with a perspective on where these tools excel and where they fall short.

Responsibilities

Think holistically about the developer and end-user experience across our APIs, SDKs, AI Agent platform, Call Fabric, SWML, and carry the end-to-end ownership.
Partner with engineering leadership, product, and our developer community to understand emerging capabilities in real-time AI and communications, and translate them into products developers actually want to use.
Own technical quality across the stack (performance, reliability, latency, and developer experience).
Move fluidly across domains, pick up unfamiliar systems quickly, and optimize for customer impact.
Raise the bar around you, whether that's through mentorship, code review, improving tooling, or simply setting a standard that makes the whole team better.
Take a product-focused approach to engineering, considering who is using what you build, why they're using it, whether it's actually working for them and what the next iteration of the product will entail.
Address the pain of bad APIs, poor docs, and confusing error messages to build better developer experiences.