Salary
💰 $280,000 - $330,000 per year
Tech Stack
AirflowBigQueryHerokuPythonSQL
About the role
- Build and scale the data team: recruit and manage data engineers, analytics engineers, and data analysts
- Foster a high-performing, collaborative culture focused on delivering actionable insights
- Balance hands-on technical work with strategic leadership and team development
- Establish scalable processes and best practices as the team grows
- Own our data strategy and ensure alignment with business objectives
- Design scalable data pipelines, architecture, and governance using modern tools like BigQuery, dbt, Airflow, Amplitude and Looker
- Partner with engineering to enhance product telemetry and data collection
- Implement data quality frameworks and monitoring systems
- Work with product, sales, marketing, and leadership teams to deliver insights that drive business outcomes
- Build dashboards and self-service analytics capabilities
- Lead strategic analyses on customer behavior, product adoption, and business performance
- Translate complex data into clear recommendations for technical and non-technical stakeholders
Requirements
- Based in: Bay Area, with requirement to come into our San Francisco office at least 2 days a week
- 5+ years in data roles
- 3+ years building and scaling data teams at a fast-growing SaaS startup
- Drive to create change and ability to define strategy to develop Data and Analytics requirements and priorities
- Deep understanding of SaaS metrics and how data drives business strategy
- Outstanding ability to influence stakeholders and translate technical concepts into business insights
- High accountability and sense of urgency with bias toward action and problem-solving
- Ability to do IC work when needed
- Strong in SQL, Python, data modeling
- Experience with modern data stack (BigQuery, dbt, Airflow, Amplitude, Looker)