Principal Product Manager

Energage is a purpose-driven company that helps organizations turn employee feedback into useful business intelligence. The Principal Product Manager for Data Management and AI will own the strategy and delivery of data-intensive products, lead customer-facing AI experiences, and collaborate with cross-functional teams to shape product capabilities and drive measurable impact.

Responsibilities:

• Own and evolve the long-term product vision for data management and AI capabilities aligned with Energage’s unified intelligence platform
• Identify new product opportunities that leverage data, analytics, and AI to deliver measurable customer and business impact
• Shape product strategy across multiple teams or domains through influence, not authority
• Clearly articulate how data management and AI initiatives support Energage’s broader platform, data, and growth strategy
• Own end-to-end discovery for complex and zero-to-one initiatives
• Synthesize qualitative research, quantitative analysis, and competitive intelligence into clear problem statements and opportunities
• Partner deeply with Data Science, UX, and Engineering to design experiments, prototypes, and validation plans
• Identify emerging customer needs and market trends ahead of competitors
• Establish and model best practices for hypothesis-driven discovery across product teams
• Define customer-facing AI driven predictive experiences
• Partner deeply with Data Science to shape ML-powered features, including inputs, outputs, evaluation metrics, and monitoring
• Translate model behavior into understandable, actionable user experiences
• Ensure AI products are explainable, trustworthy, and aligned with data governance, privacy, and quality standards
• Guide tradeoffs between model sophistication, usability, and time to value
• Take full ownership from the idea through post-launch impact, including iteration and optimization
• Lead large, cross-team initiatives that require coordination across product areas
• Anticipate risks and proactively adjust scope, sequencing, or approach
• Define clear outcomes and success metrics; track adoption, usage, and business impact
• Ensure solutions meet high standards for quality, performance, accessibility, security, and resilience
• Serve as a mentor and thought leader within Product Management
• Lead through influence, aligning stakeholders across Product, Engineering, UX, Data Science, Sales, and Customer Success
• Foster a culture of customer centricity, experimentation, and high product standards
• Communicate complex ideas clearly to executives and cross-functional partners
• Champion continuous improvement in product practices and decision-making

Requirements:

• 8+ years of product management experience with ownership of complex, high-impact products
• Deep experience building analytics-heavy products, insights, or data platforms
• Hands-on experience working with machine learning models in production environments
• Proven partnership with Data Science on model development, evaluation, and iteration
• Experience delivering both customer-facing tools and enabling platform capabilities
• SaaS experience required
• HR or people data experience preferred
• Strong discovery and delivery skills at scale
• Comfort operating in ambiguous, technically complex problem spaces
• Track record of high-quality execution and iteration