Software Engineer, Product

Sierra AI

  • San Francisco, CA
  • 30+ days ago

    Highlights

    How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user?. Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable?

    Numbers & Facts

    LocationSan Francisco, CA

    Description

    About us

    At Sierra, we're building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

    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

    • 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

    Similar Jobs

    See more jobs