Full-Time

Senior Product Manager

AI/ML

Posted on 2/12/2025

Gretel

Gretel

51-200 employees

Synthetic data platform for AI development

Compensation Overview

$175k - $215kAnnually

+ Bonus + Stock Options

Senior

Remote in USA + 1 more

More locations: Remote in Canada

Remote position available for candidates in the U.S. and Canada.

Category
Product Management
Product
Required Skills
Data Science
Product Management
Machine Learning
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.
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.
Desired Qualifications
  • 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

Gretel provides a synthetic data platform that allows developers to create artificial datasets that resemble real data. This helps developers build and test AI models without risking data privacy. The platform is user-friendly, enabling quick access to synthetic data generation in under five minutes. Gretel's business model is based on application programming interfaces (APIs) that facilitate the creation of anonymized synthetic data, allowing businesses to innovate while maintaining privacy. The platform also offers features for validating AI models with quality and privacy scores. Gretel serves a diverse clientele, including developers and enterprises, and is available on the Google Cloud Marketplace. Clients can generate as much data as needed and pay based on usage, with additional tools for collaboration and project management. The goal of Gretel is to empower developers and enterprises to utilize synthetic data effectively while ensuring data privacy.

Company Size

51-200

Company Stage

Series B

Total Funding

$65.5M

Headquarters

Palo Alto, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for privacy-preserving AI solutions boosts Gretel's market potential.
  • Strategic partnerships with AWS and Google Cloud expand Gretel's market reach.
  • The healthcare sector's use of synthetic data aligns with Gretel's genomic data initiatives.

What critics are saying

  • Nvidia's acquisition may shift Gretel's strategic focus and client relationships.
  • Dependency on AWS infrastructure could pose risks with changes in terms or pricing.
  • Regulatory scrutiny may impact Gretel's partnership with Illumina on genomic data.

What makes Gretel unique

  • Gretel offers a user-friendly platform for quick synthetic data generation.
  • The platform integrates with major cloud providers like AWS and Google Cloud.
  • Gretel's APIs enable easy generation of anonymized and safe synthetic data.

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Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

-1%

2 year growth

1%
TechCrunch
Mar 19th, 2025
Nvidia reportedly acquires synthetic data startup Gretel | TechCrunch

Nvidia has reportedly acquired Gretel, a San Diego-based startup that's developed a platform to generate synthetic AI training data. Terms of the

MarkTechPost
Jun 14th, 2024
Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace for AI Developers Tackling Personally Identifiable Information PII Detection

Gretel AI releases a new multilingual Synthetic Financial dataset on huggingface for AI developers tackling personally identifiable information PII Detection.

YTech News
Apr 5th, 2024
Accelerating AI Development with Gretel's Text-to-SQL Dataset Launch

In an impressive stride within the realm of artificial intelligence (AI), Gretel AI has launched a comprehensive open-source Text-to-SQL dataset for the AI community.

Amazon Web Services
Feb 20th, 2024
How to Use Amazon SageMaker Pipelines MLOps with Gretel Synthetic Data

This post discusses how to integrate Gretel with Amazon SageMaker Pipelines to enhance ML training, prioritizing privacy and safety.

VentureBeat
Feb 6th, 2024
Menlo Ventures’ Vision For The Future Of Security For Ai

Just as cloud platforms quickly scaled to provide enterprise computing infrastructure, Menlo Ventures sees the modern AI stack following the same growth trajectory and value creation potential as public cloud platforms. The venture capital firm says the foundational AI models in use today are highly similar to the first days of public cloud services, and getting the intersection of AI and security right is critical to enabling the evolving market to reach its market potential.Menlo Ventures’ latest blog post, “Part 1: Security for AI: The New Wave of Startups Racing to Secure the AI Stack,” explains how the firm sees AI and security combining to help drive new market growth.  “One analogy I’ve been drawing is that these foundation models are very much like the public clouds that we’re all familiar with now, like AWS and Azure. But 12 to 15 years ago, when that infrastructure as a service layer was just getting started, what you saw was massive value creation that spawned after that new foundation was created,” said Rama Sekhar, Menlo Venture’s new partner who is focusing on cybersecurity, AI and cloud infrastructure investments told VentureBeat

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