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Jobs(30,363)/Software Engineer Role(2,045)/Sierra (69) - Software Engineer, Product
Sierra

Sierra - Software Engineer, Product

San Francisco, CA, United States$230k - $390k+ Equity1mo ago
In OfficeMidNAArtificial IntelligenceSoftwareSoftware EngineerProduct ManagerFull StackClaudeCursor

Requirements

• 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 building developer tooling, programming languages, or databases. • Leadership experience on technical projects or teams. • Our values • 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. • Trust: • Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. • Customer Obsession: • Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. • Craftsmanship: • Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. • Intensity: • Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. • Family:

Responsibilities

• 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? • Agent Architecture: • 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? • Retrieval: • Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? • Evals: • Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? • Voice: • Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench) • Simulation & Benchmarking: • Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? • Content Management: • Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC) • Agent Development Lifecycle: • Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? • Generative Agent Development:

Benefits

• $230K – $390K • Offers Equity • 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 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. • We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (unlimited) paid time off • Medical, dental, and vision benefits for you and your family • Retirement plan dependent on country of employment • Fertility and family building benefits through Carrot • Lunch, as well as delicious snacks and coffee to keep you energized • Discretionary benefit stipend giving people the ability to spend where it matters most • Free alphorn lessons • These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. • Be you, with us • Be you, with us

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