Software Engineer, Product
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Job Description
About us
At Sierra, we're building a platform to enable every company in the world to build their own autonomous AI agents for everything from customer service to commerce. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.
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 and Clay Bavor. 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, Julie, Arya, and Wei. We work in small, autonomous teams oriented around customer problems. Here are some examples of what you'll work on:
Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve?
Retrieval: How do we ground answers in a customer's knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user?
Evals: How do we measure an agent's quality? How do empower our customers to improve agent quality?
Voice: How do we make our chat agents "just work" over the phone? How do we deliver lifelike conversations at low latency?
Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See