Role Responsibilities 

Product Ownership & Strategy 

• Define and execute roadmaps: Drive product roadmaps and strategies for two sprint teams, with a focus on the scalability and resiliency of our existing AI and Analytics solutions. 

• Drive product discovery: Run continuous discovery, working with engineering and design, to uncover and test product opportunities. 

• Measure success: Identify, track, and report on key product metrics. Work with engineering and design to define quarterly OKRs (Objectives and Key Results) that articulate team goals. 

• Support development teams: Help translate validated designs and technical analysis into actionable story cards with well-defined acceptance criteria. 

• Iterate rapidly: Break down large projects into manageable, iterative releases with clear milestones and measurable results. 

Technical Expertise 

• Partner with engineering: Partner with your engineering team to ensure deliverables meet our high standards for scalability, reliability, observability, security, and AI ethics. 

• Lead tradeoff decision-making: Through a strong understanding of AI/ML workflows, data pipelines, and algorithmic considerations, lead product tradeoff and scope discussions with engineering, design, and applied science. 

• Simplify complex topics: Translate technical conversations and decisions to less technical audiences, internal and external, to create clarity with stakeholders. 

Team Collaboration 

• Share context: Clearly articulate the “why” behind product decisions to foster alignment and buy-in from internal and external stakeholders. 

• Lead cross-functional initiatives: Drive and participate in various cross-functional programs, ensuring that your teams’ work is represented well and contributing to overall program success. 

• Partner to drive adoption: Ensure that internal teams understand our product priorities and delivery status while partnering with them to drive adoption from customers. 

Preferred qualifications: