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Principal Product Manager (Remote - US) - job 1 of 2

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.

One of our companies is currently looking for a Principal Product Manager in the United States.

As a Principal Product Manager, you will lead the development of foundational AI platform capabilities, focusing on deep learning and generative AI technologies. You will play a critical role in shaping a Kubernetes-based platform for building AI models and applications, collaborating across multiple teams to bring innovative AI solutions to market. Your expertise will guide product strategy, drive technical decision-making, and enable cross-departmental programs that maximize AI’s impact for customers. This role requires balancing technical knowledge with strategic vision to translate complex problems into actionable plans that unlock business value.

Accountabilities:

  • Lead technical product discussions and provide thought leadership during product reviews.
  • Design and implement process and strategy frameworks to support goal setting, decision making, and impact measurement.
  • Manage end-to-end project plans ensuring timely delivery across analysis, design, development, testing, and implementation phases.
  • Collaborate with stakeholders including Engineering, Product, GTM, Partners, Marketing, and Customer Success teams to execute growth initiatives.
  • Own the execution of infrastructure supporting AI/ML workloads such as computer vision, NLP, speech/audio, and personalization.
  • Use data-driven insights and industry trends to influence product direction and business strategy.
  • Minimum 8 years of experience in technical product management or managing delivery of technical capabilities.
  • Proven track record introducing transformative “0 to 1” products that shift market dynamics.
  • Deep knowledge of AI/ML infrastructure for on-premises and cloud environments, including hybrid cloud scenarios with restricted connectivity.
  • Bachelor’s degree required; advanced degrees (Master’s in Engineering/Data Science, MBA) and active security clearance are advantageous.
  • Experience working with cloud services for Data and ML preferred.
  • Strong leadership, communication, and program management skills with ability to navigate complex technical landscapes.
  • Competitive medical, dental, and vision insurance packages.
  • Flexible time off and paid holidays to support work-life balance.
  • Paid parental leave and global employee assistance programs (EAP).
  • Opportunities for professional growth in a mission-driven, innovative environment.
  • Supportive culture committed to diversity, equity, and inclusion.

Jobgether hiring process disclaimer


This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.


Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.


Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.


If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.


Thank you for your interest!

#LI-CL1

Average salary estimate

$135000 / YEARLY (est.)
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$150000K

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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...

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Full-time, remote
DATE POSTED
June 17, 2025

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