- Own a product area end-to-end: deeply understand customer problems, define the product vision, clearly articulate desired outcomes and acceptance criteria, prioritize ruthlessly, and ship thoughtfully
- Prototype, test and deliver new data products and algorithms with engineering and small, nimble cross-functional teams
- Drive discovery by partnering with customers, product marketing, and data teams to uncover unmet needs and turn them into compelling, scalable software
- Integrate AI effectively, both in how you work (e.g., research, analysis, content generation) and in what we build, leveraging LLMs and automation where they create user value and differentiation
- Collaborate with data, machine learning, and analytics engineers to operationalize and harden our data products and tooling, and to ensure the success of solutions that build on our data
- Communicate clearly and regularly - both in meetings and in writing
- Balance short- and long-term bets. Keep the team focused on measurable outcomes today while building toward a compelling long-term product vision
- Own key metrics to measure and improve product and business outcomes
- Uphold high standards of integrity, curiosity, and ambition—championing what’s right for our users, our team, and the business