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Hive Modern Jobs (NOW HIRING)

Hive

Product Manager, Hive Models

San Francisco, CA

$120K - $170K/yr

You have hands-on experience with modern machine learning libraries, frameworks, and technologies ... At Hive, you will have a steep learning curve and an opportunity to contribute to one of the ...

Hive

Product Manager, Hive Models

San Francisco, CA · On-site

$120K - $170K/yr

You have hands-on experience with modern machine learning libraries, frameworks, and technologies ... At Hive, you will have a steep learning curve and an opportunity to contribute to one of the ...

Hive

Senior Machine Learning Engineer

San Francisco, CA

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow * You ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow * You ...

Hive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow * You ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow * You ...

Infosys

Hive Meta Store Consultant

Plano, TX · On-site

... with modern data platforms and tools including Cloudera Data Platform (CDP), NiFi, Hive, Confluent Kafka, and Starburst. Preferred Skill and Experience • Experience working with CPG (Consumer ...

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How much do hive modern jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for hive modern in the United States is $16.34, according to ZipRecruiter salary data. Most workers in this role earn between $10.58 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Hive Modern vs Data Warehouse Developer?

AspectHive ModernData Warehouse Developer
Required CredentialsProficiency in Hive, SQL, data modelingSQL, data modeling, sometimes Hive knowledge
Work EnvironmentBig data platforms, cloud environmentsTraditional data warehouses, on-premises or cloud
Industry UsageBig data, analytics, data engineeringBusiness intelligence, reporting, analytics
Common Search IntentHive Modern vs Data Warehouse Developer

Hive Modern and Data Warehouse Developers both work with data, but Hive Modern specializes in big data platforms using Hive and SQL for large-scale data processing. Data Warehouse Developers focus on designing and maintaining traditional data warehouses, often using SQL and data modeling. While there is overlap, Hive Modern roles are more aligned with big data environments, whereas Data Warehouse Developers work with structured data in enterprise warehouses.

Infographic showing various Hive Modern job openings in the United States as of May 2026, with employment types broken down into 5% Locum Tenens, 2% Internship, 14% Full Time, 5% Temporary, 72% Contract, and 2% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $33,988 per year, or $16.3 per hour.
Product Manager, Hive Models

Product Manager, Hive Models

Hive

San Francisco, CA

$120K - $170K/yr

Full-time

Posted 10 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!

Product Manager, Hive Models Role

As a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams. You will play a crucial role in the core of our business: our cloud-hosted deep learning models. You are both the foundation and the catalyst for Hive's growth; you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities.
Responsibilities
  • Own the roadmap, functional requirements, and development timeline for our Hive Models
  • Gain deep understanding of our customers' needs across various industries
  • Oversee product execution from inception to delivery
  • Help engineering and product teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
  • Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text
  • Clearly communicate product benefits to our users and internal stakeholders
  • Work with the executive team to determine top priorities, help define new features, and improve models habitually
  • 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 of Science in Computer Science, Engineering, or similar field
  • You have hands-on experience with modern machine learning libraries, frameworks, and technologies
  • 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 2-3 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 have experience leading a team, and effectively implementing 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 $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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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