About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital.
Responsibilities
- Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience.
- Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs.
- Ingest and transform raw data using tools like dbt, Airbyte, and Databricks.
- Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions.
- Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities.
- Present findings and recommendations to technical and nontechnical audiences, including company leaders.
Requirements
- 5+ years of experience in analytics, BI, or data engineering roles.
- Strong SQL skills with the ability to write complex queries for data transformation and analysis.
- Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage.
- Excellent communication skills and a collaborative approach to working with cross-functional teams.
- Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences.
Preferred Qualifications
- Experience with AI infrastructure, developer platforms, or inference.
- Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning.
- Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost.
- Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Flexible PTO policy including company wide Winter Break.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.