5 months ago
Base Salary
$230k - $390k/yr
Responsibilities
- Architect and build scalable, low-latency data platform foundations
- Build real-time eventing infrastructure and streaming and batch ETL pipelines
- Develop and operate an Iceberg-based data lakehouse
- Own interactive OLAP querying, orchestration, and experimentation systems
- Develop long-term agent memory and reusable Customer Data Platform primitives
- Implement optimization loops that personalize agent interactions and improve business outcomes
- Build analytics products, data visualization tools, alerting systems, and exploration interfaces
- Ensure data systems are trustworthy, fast, cost-aware, highly operable, and easy for engineers to use
Requirements
- 4–7+ years of hands-on experience building and shipping production systems or products
- Degree in Computer Science or a related field, or equivalent professional experience
- Experience designing, building, and operating large-scale data systems using technologies such as Spark, Flink, Trino/Presto, and Iceberg or Hudi
- Strong backend and distributed systems fundamentals in Go, Scala, or Python
- Understanding of storage engines, query plans, data serialization formats, data governance, lineage, testing, and data modeling
- Experience shipping data products such as analytics dashboards, data visualization tools, alerting systems, or exploration systems
- Full-stack engineering experience with TypeScript/React and a service layer such as Go
- Practical experience with ML-powered product features such as personalization, recommendations, or classification systems
- Strong product sense for information architecture, performance, API design, empty states, and explaining complex data
- Preferred experience with Kafka or Kinesis and real-time data processing
- Preferred experience with ECharts or D3.js and performant reusable charting components
- Preferred production experience with recommender systems, multi-armed bandits, or ranking
- Preferred track record of leading complex technical projects or mentoring engineers
Benefits
- Flexible unlimited paid time off
- Medical, dental, and vision benefits for employees and families
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, snacks, and coffee
- Discretionary benefit stipend
- Free alphorn lessons
- Equity plan eligibility for full-time employees
- Primarily in-person work environment, with offices in San Francisco and other global locations
Tech Stack
Categories
About Sierra
Sierra builds an enterprise conversational AI platform that powers customer service and other customer-facing interactions for large organizations. The company sells SaaS and deployed solutions that integrate with enterprise systems and meet security and compliance requirements. Headquartered in San Francisco with offices across North America, Europe, and Asia-Pacific, Sierra was co-founded by Bret Taylor and Clay Bavor, longtime leaders at Salesforce, Facebook, and Google.