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 across product, marketing, and sales
Design scalable data pipelines, architecture, and governance using modern tools like BigQuery, dbt, Airflow, Airbyte and Looker
Partner with engineering to enhance product telemetry and data collection
Implement data quality frameworks and monitoring systems
Build LLM-powered self-serve analytics capabilities that enable teams across the organization to answer their own questions
Work closely with sales, marketing, and product leadership to define and challenge how we measure success
Bring a strong point of view on B2B SaaS metrics – what to measure, how to measure it, and when our current approach needs rethinking
Lead strategic analyses on customer behavior, product adoption, pipeline performance, and business health
Translate complex data into clear recommendations for technical and non-technical stakeholders

B2B SaaS experience: You've built and scaled data functions at fast-growing B2B startups. You understand the nuances of B2B metrics and can speak the language of product, sales and marketing leaders
Experience: 5+ years in data roles with 3+ years building and scaling data teams
Leadership: Proven ability to define strategy, prioritize ruthlessly, and execute. You're comfortable with ambiguity and can drive change in a fast-moving environment
AI/LLM fluency: You're excited about using LLMs to democratize data access across the organization and understand how to get good output from AI tools
Communication: Outstanding ability to influence stakeholders and translate technical concepts into business insights
Ownership mindset: High accountability and sense of urgency with bias toward action and problem-solving – able to do IC work when needed
Technical expertise: Strong in SQL, Python, data modeling, and modern data stack (we use BigQuery, dbt, Airflow, Looker)

A highly-skilled, inspiring, and supportive team
Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
A global, multi-culturally diverse group of colleagues and customers
Comprehensive health plans and perks
A healthy work-life balance that accommodates individual and family needs
Competitive stock options program

Head of Data & Analytics

Key skills