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Product Manager - Remote

Posted Yesterday
Product
Full Time
Worldwide

Overview

As a Product Manager at Pareto.AI, you will support engineers in creating a platform for scalable delivery of curated data to AI companies, translating customer needs into product objectives.

In Short

  • Join a remote-first company focused on AI model development.
  • Collaborate with engineers and researchers to define product requirements.
  • Manage the end-to-end life cycle of platform modules.
  • Monitor metrics for data quality and latency.
  • Conduct customer interviews for backlog refinements.
  • Facilitate sprint rituals and decision reviews.
  • Present status updates to leadership with data support.
  • Work in a dynamic, international environment.
  • Competitive salary and equity package offered.
  • Annual stipend for home office needs.

Requirements

  • 3+ years experience with data infrastructure or ML SaaS products.
  • Proven rapid release record with multiple deployments.
  • Competence in SQL and basic Python.
  • Familiarity with data-collection pipelines and privacy frameworks.
  • Exceptional written communication skills.
  • Bachelor’s degree in a technical field required.
  • Willingness to work on-site in South Bay three days a week.
  • Travel occasionally to customer or annotation sites.
  • Prior experience in human-in-the-loop or crowdsourcing is a plus.

Benefits

  • Ground floor opportunity at a venture-backed startup.
  • International and dynamic work environment.
  • Challenging projects for continuous growth.
  • Competitive salary and equity package.
  • Annual stipend for home office needs.
Pareto.AI logo

Pareto.AI

Pareto.AI is a venture-backed startup based in San Francisco, dedicated to empowering top talent globally to contribute to the development of advanced AI models. The company collaborates with leading AI and crowd researchers from prestigious institutions to create a fair and ethical platform for AI developers and domain experts. With a fully remote workforce, Pareto.AI consists of a core team of 20 members and an operations team of 150, focusing on building innovative solutions that will shape the future of work and create new opportunities in AI training.

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