Head of Data

About the role

At Scribe, data is the foundation of how we make decisions — we take it very seriously. We’ve built a data-literate team, where each function does hypothesis-driven experimentation with clear, measurable outcomes. Our data layer is treated as a revenue driver for the business, and not a cost center. We’re looking for a leader to manage and scale the data analytics and data engineering teams, while maintaining a focus on empowering our product team to make fast, informed decisions that fuel the next generation of product investments.

Key Responsibilities

• Manage and grow a high-performing data team by hiring and developing talent, fostering a culture of experimentation, continuous learning, and bias to action.
• Define and deliver on Scribe's data platform, aligning with our organizational goals and working with executive leadership to integrate data initiatives into strategic company efforts.
• Be a cross-functional magnet with our business and finance teams, to gather insights on customer journeys, product engagement, and growth trends, ensuring data is leveraged effectively by everyone.
• Continuously evaluate and integrate new technologies to advance data modeling, data governance, and team capabilities, driving operational efficiency and data accessibility across Scribe.

What Makes You a Great Fit

• 10+ years of experience working on Data teams powering products that customers love
• 4+ years of experience in hiring and managing high-performing data analysts, data engineers, and data scientists
• Strong technical proficiency with the Modern Data Stack, we use Snowflake, dbt, Sigma, and Mixpanel
• Customer mindset, adept at balancing quantitative data with qualitative insights to drive product and business strategy decisions
• Low ego. You care about building things and recognize that this may require rolling your sleeves up, getting in the trenches, and occasionally leading data projects
• Proactive impact-driven. You push insights and data onto teams rather than waiting for requests to emerge from them
• Outcomes over output. You thrive on creating business value and know when to point your team to a multi-step data process v/s doing ugly napkin math to bias towards action

Bonus Points

• Experience working in high-paced Enterprise SaaS startups, with a strong self-serve motion
• Experience creating a step-function change in an organization’s data strategy with the help of AI tooling
• Experience deploying machine learning models in Production

About Scribe

Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right, and see how to do it even better. Our Workflow AI platform automatically captures and optimizes workflows so teams work smarter, faster, and more consistently. We’re growing fast — since our founding in 2019, we’ve grown to over 6 million users across 600,000 businesses. Based in San Francisco, Scribe recently raised a Series C and is valued at $1.3 billion. We've also been recognized as a LinkedIn Top Startup and are backed by leading investors. Join us in our mission to uplevel how people do work.

Full-Time US Employee Benefits

• Comprehensive healthcare
• Equity in a hypergrowth startup
• Flexible PTO
• 401k
• Parental Leave
• Commuter Benefits (SF office employees)
• WFH Office Stipend

Our HQ

Our HQ is in beautiful San Francisco, California. For this role, we expect you to commute and work from the office roughly 3 days per week.

Compensation

We benchmark compensation using trusted market data and apply a tiered geographic framework to ensure competitive pay across locations. The ranges below represent the base salary band for this role by tier. Final offers are determined by experience, scope, internal parity, and location.