Software Engineer, Intelligence

Навыки

• Machine Learning
• Salesforce

О компании и продукте

• 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 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.
• 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.

Задачи

• 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

Требования

• 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
• EVEN BETTER
• 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

Условия

• 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
• BE YOU, WITH US
• 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 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

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