Lead Product Manager, Data Engineering

Summary

Join FiscalNote as a Lead Product Manager and take ownership of our data products. You will play a crucial role in transforming data operations, aligning the data acquisition roadmap with the product vision, and advocating for strategic data use to enhance user experience. You will understand the customer journey from data acquisition to powering customer experiences, make trade-offs, communicate with engineers and stakeholders, and prioritize customer needs. You will demonstrate success in delivering outcomes and possess strong collaboration and communication skills. The ideal candidate has 5+ years of technical product management experience with data and AI product ownership, experience managing complex projects, and the ability to prototype in Figma or code. FiscalNote offers competitive salaries, retirement accounts, equity packages, and comprehensive benefits packages.

Requirements

• 5+ years of technical product management experience, preferably with data and AI product ownership
• Proven success in managing complex, multi-stakeholder projects from conception to delivery
• Strong collaboration and communication skills with technical and business partners
• Experience in evaluating and integrating external data vendors and sources with technical literacy in data engineering
• Demonstrated ability to set priorities, make tradeoffs, and focus teams on high-value outcomes
• Ability to prototype in Figma or code to demonstrate potential data-driven value for clients
• Client-focused approach, understanding data needs and connection with client objectives
• Willingness to learn about policy with the ability to interface effectively between engineers and business teams

Responsibilities

• Understand the customer: conduct customer and stakeholder interviews to understand motivations, needs, and strategic data opportunities
• How does data get us to the vision: Align and manage the company’s data acquisition roadmap to meet our overall product vision
• Highlight user-facing opportunities: Facilitate a two-way street with application development teams, identifying and advocating for data sets valuable to customers
• Operate efficiently: Make good use of AI to create efficiencies and deliver value to customers
• Make good use of third parties: Evaluate, select, and manage third-party vendors for data acquisition and integration projects
• Manage up: Monitor and communicate project progress, risks, and blockers to senior leadership

Benefits

• Competitive salaries
• Retirement accounts
• Equity packages
• Comprehensive benefits packages