Product Manager, Gen AI Platform

About the Role

Scale AI is building the engine for the next generation of enterprise software — shifting from passive "Systems of Record" to active "Systems of Intelligence." We’re looking for an experienced Product Manager to shape the future of the Scale Generative AI Platform (Scale GP) — our enterprise-grade AI platform that powers knowledge retrieval, inference, evaluation, and more.

This role focuses on building the reusable, foundational platform services that enable the creation of powerful AI agents at scale. You’ll work at the intersection of customer solutions and core developer platform engineering, translating real-world needs into robust APIs, SDKs, and services that become the building blocks for all future development. You will also lead the end-to-end product lifecycle for core GenAI Platform capabilities, from discovery to launch. Working closely with forward-deployed engineering teams, you will uncover repeatable use cases and workflows from bespoke customer projects and transform them into scalable, reusable components. 

Some examples of the platform services you might build include:

• An agent-building, hosting, and communication framework for next-generation software development.
• A deep research capability that can ingest and reason over thousands of pages of unstructured documents.
• A Text-to-SQL intelligence application that makes data analysis accessible to non-technical users.

You Will:

• Drive the development and launch of a toolkit of reusable platform components that accelerate the creation of AI agents.
• Work with leadership and forward-deployed teams to define the product strategy for the GenAI platform.
• Manage the end-to-end process of turning successful custom solutions into scalable, documented platform features.
• Lead a cross-functional team of engineers, designers, and solution architects on complex platform projects.
• Develop the processes and strategy for building a powerful, repeatable layer of intellectual property.

Ideally, You’d Have:

• A technical degree in computer science, engineering, or equivalent experience.
• 4+ years of experience building platform, SDK, or enterprise-facing products.
• A strong understanding of modern AI technologies and their applications in enterprise settings.
• Experience building products for engineering users with a track record successful devx adoption
• Experience working in a fast-paced, ambiguous environment at the intersection of customer delivery and platform development.
• Excellent communication and leadership skills, with the ability to influence cross-functional teams.
• Some coding experience (e.g., Python).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$156,000—$225,000 USD

PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at View email address on swooped.co. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision . 

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information._