Sierra에서 Intelligence 레이어를 구축할 소프트웨어 엔지니어를 찾습니다. 4년 이상의 프로덕션 시스템 개발 경험이 필수이며, 대규모 대화형 데이터를 분석하고 AI 에이전트의 성능을 개선하는 시스템을 설계합니다. 머신러닝 및 데이터 시스템에 대한 깊은 이해와 AI 제품에 대한 열정을 가진 분을 환영합니다.
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, Tokyo, 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.
Build the Intelligence layer at Sierra. You’ll work on systems that analyze millions of agent interactions and generate insights that improve agent performance and customer outcomes.
Turn conversations into insights. You’ll build systems for analyzing, clustering, and exploring large-scale conversational data.
Enable evaluation and experimentation. You’ll design systems that allow us and our customers to measure agent quality and run experiments.
Develop learning systems. You’ll work on retrieval, ranking, personalization, and feedback loops that make agents more effective over time.
What you'll bring
A passion for being on the frontier of AI products.
Strong software engineering fundamentals and experience building production systems.
Experience working with data systems, analytics, or machine learning-driven products.
Motivation and high-agency to drive outcomes in a fast-moving environment.
4+ years hands-on experience building production systems or data products.
Degree in Computer Science or related field, or equivalent professional experience.
Experience with retrieval, ranking, or recommendation systems.
Experience building analytics or data exploration tools.
Experience working with large-scale data systems.
Experience building AI-powered products.
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 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.
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.
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.
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.
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
Life insurance and disability benefits
Retirement plan dependent on country of employment
Parental leave
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.
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
