Product Manager, Senior A

Overview

Senior Product Manager to build the platform foundation for understanding how customers adopt and get value from Blackbaud solutions, partnering with Platform leadership and a dedicated engineering team to deliver shared capabilities that produce trustworthy usage and outcomes data.

What you'll do

• Own the backlog and product lifecycle for platform capabilities serving engineering and analytics teams, from discovery and validation through delivery and adoption.
• Partner with engineering to build the standards, tools, and guidance product teams need to instrument solutions and publish trustworthy usage data to Blackbaud's data platform.
• Drive adoption of shared capabilities across the portfolio by understanding product and engineering teams' needs, supporting onboarding, and helping teams retire one-off approaches.
• Connect platform capabilities to meaningful outcomes by partnering with Customer Success and other internal consumers to understand how usage data can better support their needs.
• Translate strategy, customer insight, data, and stakeholder input into clear requirements, acceptance criteria, documentation, assumptions, and decisions that keep work moving.
• Define hypotheses and success measures, then use adoption, data quality, and feedback to test assumptions and continuously improve the capabilities you own.
• Use AI tools and modern product practices to accelerate discovery, requirements definition, and delivery while proactively communicating progress, risks, decisions, and tradeoffs across distributed teams.

What you'll need

• 5+ years of Product Management experience, ideally including technical product management for internal platforms, developer tools, or data products.
• Demonstrated experience delivering platform capabilities where engineering or analytics teams are the primary consumers.
• Hands-on experience with product analytics tools such as Heap, Mixpanel, Amplitude, or Pendo, including event taxonomy and instrumentation design.
• Working knowledge of SQL and modern data platforms.
• Familiarity with web application instrumentation and privacy and consent requirements related to analytics data.
• Experience using agile development practices and tools such as Azure DevOps to deliver products across cross-functional teams.
• Experience turning incomplete information into forward progress by establishing outcomes, testing assumptions with data and feedback, and working effectively across distributed teams and time zones.

Nice to have

• Experience with Databricks, medallion data modeling, or Azure data services.