Software Engineer, Voice

Sierra
San Francisco, CAPosted 27 February 2026

Job Description

Software Engineer, Voice ABOUT US - At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Singapore, and Japan. - We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. - Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.  WHAT YOU’LL DO Sierra’s engineering team has ~40 mostly senior engineers, including Mihai https://click.ashbymail.com/api/beacon/click-redirect/f0af8418-17d7-4901-9557-d68bbf5dd312?r=aHR0cHM6Ly93d3cubGlua2VkaW4uY29tL2luL21paGFpLXBhcnBhcml0YS8, Belinda https://www.linkedin.com/in/belinda-gu-10282113/, Arya https://click.ashbymail.com/api/beacon/click-redirect/33b60148-10df-4714-91c0-c2d6da103efc?r=aHR0cHM6Ly93d3cubGlua2VkaW4uY29tL2luL2FzZW1hbmZhci8, and Wei https://click.ashbymail.com/api/beacon/click-redirect/51d9a019-9bc1-4b98-8978-602f4b64e7c3?r=aHR0cHM6Ly93d3cubGlua2VkaW4uY29tL2luL2FsZXh3ZWlsaS8. We work in small, autonomous teams oriented around customer problems. Here are some examples of what you’ll work on: - Transcription: How do we enable accurate speech-to-text and automatic speech recognition across 100s of languages? What infrastructure do we need to do this at low latency? - Synthesis: How do we generate speech that is precise and matches each customer’s desired brand and style? - Runtime: How do we adapt our agentic loop to accept real-time streams of audio, instead of just text? How do we ensure we handle interruptions, disconnects, and transfers reliably? - Scaling: Build the infrastructure to enable Sierra to handle millions of calls a day. - Telephony: Build real-time integrations to telephony systems and call centers to enable Sierra to pick up the phone, and make outbound phone calls, reliably. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just techn ... (truncated, view full listing at source)
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