Head of Data at Descript
SFBA, California, USA -
Full Time


Start Date

Immediate

Expiry Date

21 Jun, 25

Salary

276000.0

Posted On

21 Mar, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world’s top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We’ve raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

Responsibilities

ABOUT THE ROLE

In this role, you will lead a transformative journey, overseeing the entire data stack—from infrastructure to insights—to build a lasting data-driven culture and accelerate AI-first product development. As part of our leadership team, you will shape how we use data to unlock value, deepen customer insights, and drive innovation—balancing empirical evidence with strategic intuition. Your impact will extend across the organization, from advancing AI-first products to driving measurable business results.

WHAT YOU’LL DO

  • Design an integrated data ecosystem: Build and maintain a data architecture that seamlessly collects, stores, and transforms raw data into meaningful insights.
  • Shape company strategy with data: Use data to identify opportunities, guide strategic decisions, and support long-term growth.
  • Champion data-driven decision-making: Promote the use of data in business and product decisions while recognizing the role of creativity and intuition.
  • Lead and develop a high-performing data team: Recruit, mentor, and support data engineers, analysts, and scientists, fostering a culture of growth, innovation, and ownership.
  • Collaborate across teams: Work closely with product, finance, marketing, and sales to ensure data-driven insights inform key decisions and drive impact.
  • Shape technical strategy: Align data infrastructure, tools, and processes with business goals to ensure scalability and efficiency.
  • Advance AI and machine learning efforts: Partner with AI teams to improve data quality, manage large-scale training datasets, and refine performance monitoring systems.
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