Sierra
Technology
SoftwareEngineer,Product
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Product at Sierra. Skills: AI products, Agent development, LLMs. Design agent architecture. Develop retrieval strategies”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
4+ years hands-on experience, Build and ship full-stack solutions, Degree in Computer Science or related field, or equivalent professional experience
Nice to Have
Experience building AI-powered products, Experience with Go and Typescript, Experience building developer tooling, Leadership experience on technical projects
What You'll Do.
Design agent architecture
Develop retrieval strategies
Ground answers in knowledge base
Handle unclear answers
Measure agent quality
Empower customers to improve quality
Enable chat agents over phone
Deliver lifelike conversations
Craft simulation platform
Adapt software methodologies for AI agents
Accelerate agent creation
Build self-improving systems
How You'll Work.
Team & Collaboration
Cross-functional teams
Process & Methodology
Agile methodologies
Full Job Description
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, Madrid, Munich, Singapore, Japan, and Sydney. - 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 - 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 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agent
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