Analytics Engineer
San Francisco
Full Time Mid-level / Intermediate USD 180K - 230K
Baseten
Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery networkABOUT BASETEN
Baseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, and Descript to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.
THE ROLE
We’re hiring an Analytics Engineer to establish and scale our internal data capabilities. This is a high-impact, foundational role where you’ll work across the stack—from ingesting and modeling data to surfacing metrics and insights that drive key decisions. You’ll be both the architect and analyst, building pipelines, defining metrics, designing visualizations, and translating complex data into actionable recommendations.
RESPONSIBILITIES
Design and implement robust data pipelines to collect, transform, and analyze data from various sources
Evaluate and select tooling and workflows to set up a scalable data environment that supports Baseten’s growth
Collaborate with stakeholders across Product and Engineering, GTM, and Finance teams to understand their goals and data needs
Define and model core business metrics that support decision-making and performance tracking
Create clean, intuitive dashboards and reports, ensuring data is easy to access and interpret
Ensure high data reliability and consistency across systems and teams
Establish best practices for data quality, testing, and documentation
REQUIREMENTS
5+ years of experience in a data, analytics, or BI-focused role with proven ability to translate business questions into analytical solutions
Strong SQL skills with the ability to write complex queries for data transformation and analysis
Proficiency in Python for data manipulation, analysis, and automation
Experience working with modern data stack tools—for example Airflow, Segment, Fivetran, BigQuery, and Looker
Solid understanding of metrics relevant to B2B SaaS businesses with a PLG motion
Excellent communication skills and a collaborative approach to working with cross-functional teams
An ownership mindset: you’re excited to be the first hire in this role and to shape how data works at Baseten
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
Tags: Airflow BigQuery Data pipelines Data quality Engineering Finance FiveTran Looker Machine Learning Pipelines Python Security Spark SQL Testing
Perks/benefits: Career development
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