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 is responsible for owning the strategy, discovery, and delivery of data-intensive and intelligence-driven products, including leading the development of AI experiences and collaborating with data science teams.

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