Director, Product Analytics

About the Role

Key Responsibilities

• Define and lead the vision for the Product Analytics & Insights function at Toast, aligning it to company priorities and product strategy.
• Build a self-service insights culture-enabling product teams to independently explore data, measure impact, and surface insights.
• Partner with Product and Engineering to embed key metrics into our development lifecycle-from discovery to launch to iteration.
• Explore and integrate emerging technologies (AI/ML) to drive predictive insights and smarter tracking and experimentation.
• Oversee the adoption of tools like Amplitude as part of a broader analytics toolkit, focusing on usability, trust, and strategic value.
• Develop and operationalize standards for instrumentation, event tracking, experimentation, and insight delivery.
• Act as a trusted advisor and thought partner to Product leaders-supporting them in measurement and growth strategies.
• Collaborate closely with Data Platform, Business Intelligence, UX Research, and other Analytics teams to create a unified, scalable insights ecosystem.
• Recruit, mentor, and grow a high-performing team of analysts and data scientists that reflects Toast's values and ambitions.
• Drive education and enablement efforts to increase data literacy and fluency across the Product org, helping teams use data to drive action.

Requirements

• 10+ years of experience in Product Analytics and/or Data Science leadership experience in a high-growth environment.
• Demonstrated success in building or scaling analytics capabilities, ideally with a strong self-service or enablement component.
• Deep understanding of product development lifecycles and the role of data in product discovery, delivery, and optimization.
• Fluency in product analytics platforms (Amplitude, Mixpanel, etc.), data querying languages (SQL, Python, R), and experimentation tools.
• Experience leveraging or integrating emerging AI technologies to make product analytics easier, faster, or more scalable.
• Proven ability to influence cross-functional stakeholders and align around shared metrics, definitions, and goals.
• Passion for democratizing data-making it accessible, intuitive, and part of the everyday product decision process.
• Excellent communication and storytelling skills, with a knack for turning complex data into clear, compelling narratives.
• Track record of hiring, mentoring, and developing diverse, high-performing teams.
• A builder's mindset: entrepreneurial, resourceful, and energized by the challenge of starting from scratch.

Nice to Have

• Experience with tools like Amplitude, Mixpanel, and experimentation tools.
• Experience exploring and integrating AI/ML technologies into analytics processes.

Benefits & Perks

• The base salary range for this role is $177,000-$283,000 USD.
• In addition to base salary, total rewards include cash compensation (overtime, bonus/commissions if eligible), benefits, and equity (if eligible).