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Ai Associate Product Manager Jobs (NOW HIRING)

Flourish Ventures

Associate Product Manager

Buffalo, NY · On-site

$70 - $100/hr

HoneyCoin | Associate Product Manager * 3. Discovery and Market Insight * Run discovery tasks ... AI curiosity: Actively explores AI tools and capabilities, experiments with them to improve ...

Lunit Inc.

Associate Product Manager

Lynnwood, WA · On-site

$85 - $100/hr

... AI solutions that enhance clinical confidence, accelerate discovery, prioritize precision care ... The Associate Product Manager is responsible for supporting the successful execution and delivery ...

Namely

Associate Product Manager | Pune

Mountain View, CA · On-site

$70 - $90/hr

Associate Product Manager | Pune Cornerstone is looking for an ambitious early‑career Product Associate who is passionate about building high‑quality enterprise SaaS products and leveraging AI to ...

Taylor

Associate Product Manager

North Mankato, MN · On-site

$60K - $65K/yr

Taylor Corporation is looking for a detail-oriented and analytical Associate Product Manager to join our team in North Mankato, MN! In this role, you will serve as the liaison for the Product ...

Victaulic Company

Associate Product Manager

Easton, PA · On-site

$70 - $90/hr

Associate Product Manager page is loaded## Associate Product Managerlocations: Corporatetime type: Full timeposted on: Posted Yesterdayjob requisition id: R0004172** ****Associate Product Manager ...

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Ai Associate Product Manager information

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How much do ai associate product manager jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for ai associate product manager in the United States is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $37.98 per hour, depending on experience, location, and employer.

What is an AI Associate Product Manager?

An AI Associate Product Manager is an entry- to mid-level role focused on supporting the development and management of artificial intelligence products. They work closely with engineering, data science, and design teams to define product requirements, prioritize features, and ensure successful product launches. Their responsibilities often include conducting user research, analyzing data, managing project timelines, and helping bridge the gap between technical and business teams. This role is ideal for individuals interested in both AI technologies and product management, offering a pathway to more senior product management positions in the AI field.

What are the key skills and qualifications needed to thrive as an AI Associate Product Manager?

To thrive as an AI Associate Product Manager, you need a solid understanding of product management principles, AI/ML fundamentals, and a relevant degree in computer science, engineering, or a related field. Familiarity with project management tools (like Jira), data analysis platforms, and prototyping software is often required, along with experience or certification in Agile methodologies. Strong communication, analytical thinking, and cross-functional collaboration skills help you effectively bridge the gap between technical teams and business stakeholders. These competencies ensure products are both technically sound and aligned with user needs, driving success in the rapidly evolving AI landscape.

What are some typical challenges faced by AI Associate Product Managers when collaborating with data science and engineering teams?

AI Associate Product Managers often encounter challenges in bridging the gap between technical and business teams. One common difficulty is translating complex AI concepts into actionable product requirements that align with business goals, while ensuring technical feasibility. Additionally, balancing priorities between rapid prototyping and building scalable, reliable AI solutions requires strong communication and negotiation skills. Developing a shared understanding of timelines and expectations with data scientists and engineers is crucial for the successful delivery of AI-driven features.

What is the difference between Ai Associate Product Manager vs Ai Product Manager?

AspectAi Associate Product ManagerAi Product Manager
Required CredentialsBachelor's degree in tech, business, or related field; some experience in product development or AIBachelor's or master's in tech, business, or related; more experience in AI product management
Work EnvironmentEntry-level, collaborative teams, supporting AI product developmentMid-level, leadership roles, overseeing AI product lifecycle
Employer & Industry UsageTech companies, startups, AI-focused firmsTech giants, AI startups, enterprise AI divisions
Search & Comparison IntentUnderstanding entry-level AI product rolesLooking for advanced AI product management positions

The main difference between an Ai Associate Product Manager and an Ai Product Manager lies in experience and responsibility. The associate role is entry-level, focusing on supporting AI product teams, while the product manager oversees the entire AI product lifecycle, requiring more experience and strategic oversight.

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Ai Associate Product Manager jobs near you
Infographic showing various Ai Associate Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $63,431 per year, or $30.5 per hour.

Associate Product Manager, Hive Models

San Francisco, CA • On-site

Hive
See more jobs at Hiveexternal

$90K - $120K/yr

Full-time

Re-posted 4 days ago

Job description

About Hive
 
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
 
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
 
Associate Product Manager, Hive Models Role
 
As an Associate Product Manager on our Hive Models team, you will work cross-functionally with stakeholders to help define product requirements and support implementation efforts, collaborating closely with our Machine Learning, Core Infrastructure, and Product teams. You will play an important role in the core of our business: our cloud-hosted deep learning models. You will help support Hive's growth by contributing to our innovative capabilities and building a strong foundation for future ownership within the product org.
Responsibilities
  • Support the roadmap, functional requirements, and development timeline for our Hive Models, under the guidance of senior PM/leadership
  • Develop an understanding of our customers' needs across various industries
  • Assist in product execution from inception to delivery
  • Help engineering and product teams break down projects into manageable parts, and help track progress against delivery plans
  • Support our Hive Models portfolio by learning the needs of the product development teams, and contributing to the creation of our deep learning models that provide human-like interpretation of video, image, audio, and text
  • Help communicate product benefits to our users and internal stakeholders
  • Work with senior product and engineering stakeholders to help define new features and improve models habitually
  • Help track engineering velocity and support the identification of best practices to improve delivery speed and security
  • 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 of Science in Computer Science, Engineering, or similar field
  • You have some hands-on exposure to modern machine learning libraries, frameworks, and technologies (coursework, internships, or professional experience)
  • You have excellent verbal and written communication and presentation skills
  • You have a working knowledge of functional programming languages such as Python or Node.JS
  • You have 0-2 years of combined Machine Learning and Product Management experience
  • You are comfortable with - and can thrive in - an environment that is constantly changing, frequently uncertain, and at times chaotic
  • You are detail-oriented, organized, collaborative, and hands-on
  • You are eager to grow into a leadership role, with an interest in eventually owning team goals and deadlines
  • 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 Hive, 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 Hive and we hope to meet you soon!
 
The current expected base salary for this position ranges from $90,000 - $120,000. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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