Software Engineer, Agent Data Platform

SierraSan Francisco, CA
$230,000 - $390,000Onsite

About The Position

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.

Requirements

  • Designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi.
  • Strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. Understanding the trade-offs of different storage engines, query plans, and data serialization formats.
  • History of implementing pragmatic data governance, lineage, and testing. Built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon.
  • Well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses.
  • Portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems.
  • Skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish.
  • Excel at turning ambiguous questions into clear, intuitive interfaces. Strong product sense around information architecture, handling empty states, and making complex data explainable.
  • Practical experience with ML-powered product features, such as personalization, recommendations, or classification systems.
  • Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products.
  • A passion for being on the frontier of AI products.
  • High agency and a bias to action in a high-autonomy environment.
  • Degree in Computer Science or related field, or equivalent professional experience.

Nice To Haves

  • Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing.
  • Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data.
  • Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking).
  • A track record of leading complex technical projects or mentoring other engineers.

Responsibilities

  • Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse.
  • Own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization.
  • Develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes.

Benefits

  • 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
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