Data Engineer

Sierra is an innovative AI company creating a platform to enhance customer experiences through artificial intelligence. Led by industry veterans Bret Taylor (OpenAI Board Chair, ex-Salesforce co-CEO) and Clay Bavor (former Google Labs leader), the company is primarily based in San Francisco with growing offices in Atlanta, New York, and London.

As a Data Engineer at Sierra, you'll be instrumental in shaping the company's data strategy and infrastructure. This role offers a unique opportunity to establish the foundations of Sierra's data ecosystem, working directly on systems that power AI-driven customer interactions. You'll be responsible for designing and operating scalable batch and real-time data systems, creating trusted data models, and building pipelines for experimentation, analytics, and AI development.

The position requires strong technical expertise in SQL, Python, and distributed data processing frameworks, combined with experience in data modeling and architecture. You'll work in a fast-paced startup environment, collaborating closely with product, ML, analytics, and GTM teams to deliver data foundations that drive innovation.

Sierra offers competitive compensation ($220K – $340K plus equity) and comprehensive benefits including unlimited PTO, full healthcare coverage, 401(k) matching, and parental leave. The company values Trust, Customer Obsession, Craftsmanship, Intensity, and Family, creating an environment that balances high performance with personal well-being.

This is an exceptional opportunity for a data engineering professional to join a well-funded startup with strong leadership, working on cutting-edge AI technology while helping shape the future of customer experience.