Principal Product Manager, Generative AI

Boston

Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.

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About the Job

The Generative AI Foundation Model Platform Product team is looking for a technical product manager for the role of Technical Product Manager to join us in Boston, MA. The ideal candidate will have knowledge of and is willing to become a subject matter expert on Generative AI Models, Artificial Intelligence, and Retrieval Augmented Generation. And specifically in areas such as Gen AI libraries and frameworks for training and inference (PyTorch, Hugging Face Transformers, FSDP, vLLM etc). In this role, you will help create, prioritize and drive product strategy and execution of the Generative AI Platform product(s) from Red Hat. You will be primarily working with customers through the Red Hat field teams and Red Hat engineering for product requirements and implementation. You will also be working with other stakeholders like marketing, field enablement, customer success and support to drive the success of Red Hat Generative Model Platform. This individual will also create or guide technical blogs, and presentations, whitepapers, reference architectures, etc. Experience with or educational background in Computer Science, Engineering or Data Science or equivalent disciplines is required. Experience with model training and tuning and inferencing libraries and frameworks is recommended.

What You'll Do

  • Collect and document input from users, customers, community members, and other stakeholders to understand customer needs; develop strategy and roadmap for our offerings

  • Research competitive solutions, both commercial and do-it-yourself alternatives, documenting their relative strengths and weakness to develop competitive positioning and collect input for new releases

  • Prioritize, document and track requirements, epics, and user stories for new releases of our offerings

  • Create and manager product roadmaps

  • Guide major enhancements of our offerings by working cross-functionally with core teams across our Engineering team and the upstream open source community

  • Work with stakeholders to manage releases and updates of our offerings and bring new generative AI solutions to market

  • Work with our Sales teams to respond to customer inquiries; deliver customer presentations and demos and support the overall sales process

  • Support sales and marketing activities including creating presentations, blogs, demos, and other technical collateral for our offerings

  • Review and provide feedback on the documentation for our offerings

  • Speak and share expertise at user groups, conferences, universities in various locations throughout the U.S. and worldwide

  • Participate in technical aspects of go-to-market engagements like live streams, roadshows, workshops, webinars, demos of offerings and solutions, industry and partner events, and sales enablement and training

What You'll Bring

  • Bachelor's degree, or equivalent experience in Computer Science Engineering or Data Science or equivalent disciplines. Masters preferred. 

  • Experience with model training and tuning and inferencing libraries and frameworks. 

  • Experience with web application development and CI/CD practices in any language (Java, Node.js, Python, Ruby, Go, etc.)

  • Linux skills and work experience 

  • Understanding of and experience with open source projects

  • Solid written and verbal communication skills and presentation skills

  • Strong skills in deciphering and understanding technical requirements and use cases

  • Ability to work in a persuasion-driven cross-functional environment with a distributed remote and global workforce

  • Ability to be self-motivated, meet deadlines and handle multiple priorities while working in a highly complex environment

#LI-HM1

The salary range for this position is $144,660.00 - $238,650.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
●    Comprehensive medical, dental, and vision coverage
●    Flexible Spending Account - healthcare and dependent care
●    Health Savings Account - high deductible medical plan
●    Retirement 401(k) with employer match
●    Paid time off and holidays
●    Paid parental leave plans for all new parents
●    Leave benefits including disability, paid family medical leave, and paid military leave
●    Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! 

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. 

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. 

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Tags: Architecture CI/CD Computer Science Engineering FSDP Generative AI Java Kubernetes Linux Model training Node.js Open Source Python PyTorch Research Ruby Transformers vLLM

Perks/benefits: 401(k) matching Career development Competitive pay Conferences Equity / stock options Flex hours Flexible spending account Flex vacation Health care Medical leave Parental leave Salary bonus Team events Transparency

Regions: Remote/Anywhere North America
Country: United States

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