Senior Product Manager, AI/ML

Who We Are

Gretel is solving the data bottleneck problem for developers, data scientists, and AI/ML researchers by providing them with safe, fast and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it simple to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.  We’re disrupting how organizations innovate with data and are looking for a talented Senior Product Manager to join our mission! 

The Impact You’ll Have

As a Senior Product Manager, focused on AI/ML you will play a pivotal role in the development and enhancement of our synthetic data platform, focusing on delivering solutions that meet the evolving needs of our developers and enterprise clients. You will work at the intersection of AI, product development, and market strategy to drive product growth and adoption.

​​This role requires a thorough understanding of machine learning fundamentals, cloud services, including infrastructure management, cloud-based data storage, and computing platforms. Your responsibilities will include writing detailed requirements for partner integrations, ensuring seamless compatibility, optimized performance, and adherence to security protocols.

Key Responsibilities

  • Collaborate closely with the Applied Science and Engineering teams to identify complex data problems faced by customers and devise innovative synthetic data solutions.
  • Lead the integration and practical application of scientific research into product features, ensuring that technical innovations translate into real-world benefits for users.
  • Facilitate rapid prototyping and iterative development methodologies to accelerate product enhancements and feature rollout.
  • Drive the development of tools and APIs that enable seamless integration with partner platforms, enhancing the functionality and accessibility of Gretel’s synthetic data capabilities.
  • Act as a bridge between technical teams and customer-facing units, translating advanced data science concepts into marketable product features that solve tangible business problems.
  • Prioritize product backlog and project timelines to ensure that team efforts are aligned with strategic business goals and deliver tangible results promptly.

Minimum Requirements

  • 5+ years of industry experience, including at least 3+ years in a product management role with a focus in Machine Learning, AI, or related technologies
  • Strong technical background, ideally with experience in cloud services and generative AI technologies.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Scrappy and execution oriented, capable of making decisions and delivering results quickly. 

Preferred, but not required

  • Proven ability to negotiate and manage complex partner and customer relationships, and deliver successful solutions.
  • Prior startup experience, ideally building products from 0-1
  • Prior software engineering, MLE or data science experience

We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies.  We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh.  We are deeply collaborative, apolitical and mission-oriented.

Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. 

Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.


Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter. 

Employees hired in the U.S. and Canada can expect the below information to reflect a reasonable estimate of the salary offered for this role. Salary ranges are updated regularly using premium market data. (Please note: it is unusual for new hires to receive a base salary at the top of the range. Additionally, the value of’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

Salary Range: $175,000-$215,000 USD

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