Principal Product Manager - AI - job 1 of 3

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Product Manager - AI in the United States.

We are seeking a visionary Principal Product Manager to lead the strategy and development of AI-powered solutions in enterprise data management. This role focuses on transforming how organizations govern, discover, and ensure the reliability of their data across hybrid and multi-cloud environments. The ideal candidate will define product vision, drive the roadmap, and deliver high-impact AI and data quality solutions that support enterprise growth. You will collaborate closely with engineering, data science, design, and go-to-market teams to create scalable, secure, and customer-centric products. This is a high-visibility role where strategic thinking, technical expertise, and customer advocacy directly influence enterprise AI adoption and success.

Accountabilities

·         Define and execute the product vision, strategy, and roadmap for AI-driven metadata and data quality solutions.

·         Conduct market research, competitive analysis, and customer engagement to identify opportunities, pain points, and emerging trends.

·         Translate complex customer needs into actionable product requirements, user stories, and acceptance criteria.

·         Lead cross-functional teams through the entire product lifecycle, ensuring timely delivery of scalable, secure, and high-quality solutions.

·         Collaborate with sales, marketing, and field teams to develop compelling product positioning, messaging, and go-to-market strategies.

·         Champion product adoption, engagement, and customer success through advocacy and thought leadership.

·         Monitor product performance, identify areas for improvement, and drive continuous enhancements.

·         Stay up to date on industry trends, AI/ML technologies, and best practices in data management and governance.

·         Bachelor’s degree in Computer Science, Engineering, or related technical field; MBA or advanced degree is a plus.

·         10+ years of experience in product management, with a focus on AI/ML, data platforms, data governance, or data quality solutions.

·         Proven success defining, launching, and managing enterprise-grade software products.

·         Deep understanding of metadata management, data cataloging, data lineage, and data quality concepts.

·         Strong knowledge of AI/ML concepts and their application to enterprise data challenges.

·         Experience with cloud platforms (AWS, Azure, GCP) and hybrid cloud environments.

·         Excellent communication, presentation, and interpersonal skills for diverse audiences.

·         Demonstrated ability to lead cross-functional teams and influence stakeholders at all levels.

·         Strategic thinking, business acumen, and customer-centric mindset.

·         Familiarity with Agile development methodologies.

·         Bonus: experience with open-source data technologies (e.g., Apache Atlas, Apache Ranger) and regulated industries (e.g., GDPR, CCPA).

·         Generous PTO policy and support for work-life balance through Unplugged Days.

·         Flexible work-from-home arrangements.

·         Mental and physical wellness programs.

·         Phone and internet reimbursement program.

·         Opportunities for continued career development.

·         Comprehensive benefits package and competitive compensation.

·         Paid volunteer time.

·         Access to employee resource groups and inclusive workplace initiatives.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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