• Lead cross-functional teams to conceptualize, design, and deliver innovative AI solutions. • Collaborate with engineering, design, and data science teams to translate AI capabilities into user-friendly features. • Conduct market research and user feedback sessions to identify emerging trends and opportunities. • Define and track key performance metrics to measure the success of AI initiatives. • Foster a culture of continuous improvement and innovation within the AI Product team. • Build close stakeholder relationships with Growth, Product Marketing, Lifecycle Marketing, and other teams to drive monetization. • Work with our Analytics team to identify high leverage opportunities and build a portfolio of quick wins vs. big bets. • Own and shape our long-term product strategy. • Work directly with leaders and execs to share learnings and pitch ideas for how to take our product activation and engagement to the next level.

• Lead and mentor a team of Product Managers across multiple squads. • Set product vision and strategy aligned with company goals. • Own the group roadmap, balancing quick wins with long-term initiatives. • Collaborate cross-functionally with engineering, design, analytics, GTM teams, and EPD leadership. • Stay on top of metrics for all areas • Establish product rituals and processes to streamline operations across the organization. • Conduct market research and analyze user feedback. • Define and track key performance metrics. • Foster a culture of ownership and continuous improvement. • Build strong stakeholder relationships. • Present strategy and results to executives. • Contribute as an IC on a specific area of your team. • Hire and onboard Product Managers to the product organization.

• Own and manage the data engineering backlog—prioritize stories, define acceptance criteria, and ensure delivery of pipelines and platform capabilities that accelerate data availability and quality. • Partner with Business Units, Analytics, and Tech Leadership to ensure data products are trusted, timely, and aligned with business priorities. • Collaborate with Data Engineers, Tech Leads, and Architects to translate technical vision into actionable deliverables for ingestion, transformation, orchestration, and serving layers. • Advocate for governed, scalable, and AI-ready data—partnering with Collibra and platform teams to ensure compliance and discoverability. • Champion AI-assisted development and automation (e.g., dbt auto-tests, Databricks notebooks, CI/CD intelligence, metadata lineage) to improve team velocity and reduce manual workload. • Leverage AI/ML-based monitoring and observability tools to enhance data reliability, anomaly detection, and operational performance. • Drive the Data Platform roadmap, aligning across engineering, analytics, and business stakeholders with clear transparency and measurable impact. • Foster a culture of continuous improvement, using metrics and retrospectives to increase throughput, quality, and predictability of delivery. • Represent the engineering voice in cross-functional planning and communicate technical dependencies, risks, and opportunities clearly. • Mentor junior Scrum Masters and influence agile practices to enhance team productivity and engagement.

• Translate the company's overarching mission into a roadmap that engineering, sales, and leadership can rally around. • Maintain a living, prioritized backlog that reflects real customer needs, business priorities, and technical constraints. • Provide product input on automation initiatives and roadmap decisions in partnership with Engineering and Operations. • Treat the product roadmap as a living document that evolves with the technology landscape. Continuously identify new tools, AI capabilities, and emerging solutions that can replace manual effort, improve performance, or unlock new value for customers. • Build deep, structured alignment with the founder - not just high-level sign-offs, but shared mental models of why, what, and complexity. Create communication rhythms that keep the founder informed without bottlenecking execution. • Work daily alongside a senior, experienced engineering team that has built and shipped products together across multiple projects and geographies. • Translate ambiguous ideas into well-scoped, unblocking specs without over-specifying. • Lead automation-first product thinking, design features and workflows that reduce manual work and enable real-time monitoring. • Hire, onboard, and develop a Senior PM from day one, with a clear mandate for which product scope they own. • Partner with Sales on product positioning, service tiers, and scaling plans.