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Hive

Product Manager, AutoML

Seattle
Salary
$120,000 - $170,000
Level
Lead
Work type
On-site · Seattle

Not stated in the posting: visa.

Open. First seen 22 October 2026.

About the role

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection.

Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

About the Role

As a Product Manager for AutoML, you will be an essential part of the Deploy team, working effectively across all disciplines to build, launch, and iterate features for our AutoML platform. Deploy's AutoML platform allows our customers to easily train, evaluate, and deploy customized machine learning models. Beginning with their own data, Deploy's AutoML platform guides our customers through the process of creating a fully-functional model accessible via an API endpoint just like Deploy pre-trained models.

In this role, you will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.

Responsibilities

  • Own the roadmap, functional requirements, and development timeline for Deploy's AutoML platform
  • Develop a clear product vision and roadmap, mock up concepts, write specs and oversee execution from inception to completion
  • Work with the executive team to determine top priorities, help define new features, and improve our AutoML platform habitually
  • Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles
  • Analyze customer data and feedback to identify opportunities for feature enhancements
  • Help engineering and product teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
  • Clearly communicate product benefits to our customers and internal stakeholders
  • Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

  • You have a Bachelor's Degree in Computer Science, Engineering, or similar field
  • You have 2+ years of Product Management experience and a track record of building web products, preferably in a startup or fast-paced environment
  • You have technical experience with any of the following: data, analytics, design or engineering
  • You have experience working with engineering, design, and customers in enterprise software or related technical fields
  • You have technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike
  • You have excellent verbal and written communication and presentation skills
  • You have experience leading a team, and effectively implementing team goals and deadlines
  • You are comfortable with — and can thrive in — an environment that is fast paced in a competitive industry
  • You are detail-oriented, organized, collaborative, and hands-on
  • Beyond just shipping new products, you obsess about continuous product improvement

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

What this role asks for

Particular to this role

LLM

Rare in Hive's other 42 open postings.

Compared with Hive's other open jobs.

The team: Product & Engineering HIRES STEADILY

This role is one of 71 open in Product & Engineering. 36 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (39 of 71), LLM (34 of 71), OWASP (34 of 71), Node.js (29 of 71), Python (27 of 71), JavaScript (26 of 71), Deep Learning (20 of 71)

OTHER ROLES ON THIS TEAM

From the team and dates on Hive's own job board.

Other openings for this role

2 open postings for this role in Seattle, first posted 14 March 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

See Product Manager salaries in the United States →

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