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Principal Product ManagerPanna Knows LLCExton, Pennsylvania, United States
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Principal Product Manager

Panna Knows LLC
  • US
    Exton, Pennsylvania, United States
  • US
    Exton, Pennsylvania, United States

Über

Principal Product Manager, Data Management and AI

Our client is a mission-driven organization that helps companies build stronger workplaces and unlock the power of their people. They operate with purpose, value collaboration, and use business as a force for good.

What Our Client Needs

Our client is seeking a Principal Product Manager, Data Management and AI to own the strategy, discovery, and delivery of their most data-intensive and intelligence-driven products. This senior individual contributor will shape AI-powered experiences, influence platform direction, and drive measurable customer and business impact.

Who You Are

You are a strategic product leader with deep experience in analytics and machine learningdriven products. You think in systems and outcomes. You thrive in ambiguity and influence across teams without formal authority. You communicate complex technical concepts clearly and hold a high bar for product quality, usability, and impact.

What You'll Do

Own and evolve the long-term vision for data management and AI capabilities aligned to the unified intelligence platform

Identify new product opportunities that leverage data, analytics, and AI to drive measurable outcomes

Lead end-to-end discovery for complex and zero-to-one initiatives

Partner with Data Science, UX, and Engineering to design experiments, prototypes, and validation plans

Define and deliver customer-facing AI-powered predictive experiences

Translate machine learning model behavior into clear, actionable user experiences

Ensure AI capabilities are explainable, trustworthy, and aligned with data governance and privacy standards

Lead large cross-team initiatives from concept through post-launch optimization

Define success metrics and track adoption, usage, and business impact

Mentor Product Managers and champion best practices in hypothesis-driven discovery and execution

Influence stakeholders across Product, Engineering, UX, Data Science, Sales, and Customer Success

What You'll Need

8+ years of product management experience owning complex, high-impact products

Deep experience building analytics-heavy products, insights platforms, or data systems

Hands-on experience working with machine learning models in production environments

Proven partnership with Data Science on model development, evaluation, and iteration

Experience delivering 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 technically complex and ambiguous environments

What They Offer

Compensation range is $160k - $175k, bonus eligible.

Competitive compensation structure with strong earning potential

Comprehensive benefits package

Mission-driven culture focused on helping organizations unlock the power of their people

Remote-first flexibility

Opportunities for professional growth and advancement

Please Note: This role is available for remote work only in the following U.S. states: Arizona, Delaware, Florida, Georgia, Indiana, Maryland, Michigan, North Carolina, Nebraska, New Jersey, New York State excluding NYC and Long Island, Pennsylvania, South Carolina, Tennessee, Texas, and Wisconsin. If you reside outside of these locations, you will not be considered for this role.

Equal Opportunity Statement

Our client believes that diversity fuels innovation, strengthens teams, and drives success. They are committed to fostering a workplace where every individualregardless of backgroundfeels valued, respected, and empowered to thrive. Discrimination or harassment of any kind is strictly prohibited.

Our client does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ethnicity, age, disability, veteran status, marital status, or any other characteristic protected by applicable laws. Their commitment extends beyond compliance; they actively cultivate an inclusive culture where diverse perspectives are welcomed, and every employee has an equal opportunity to contribute and succeed.

  • Exton, Pennsylvania, United States

Sprachkenntnisse

  • English
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