Enterprise Product Manager

Company: Scale AI, Inc.
Location: San Francisco
Posted on: April 23, 2025

Job Description:

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business.We develop bespoke solutions that leverage our customer's proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents.Some examples of GenAI applications we build are:

• Content-generation systems that enable sales teams to be more effective and efficient.
• Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately.
• Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making.We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers.You will:
  • Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries.
  • Work with executives at Scale and our customers to determine and execute the product strategy of the business.
  • Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches.
  • Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
  • Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry.Ideally you'd have:
    • Technical degree in computer science, engineering, or equivalent experience
    • 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus
    • Strong understanding of generative AI technologies and their applications in enterprise settings
    • Experience operating in a fast-paced environment with high ambiguity
    • Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
    • Some coding experience (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:$164,800$197,760 USDPLEASE 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 accommodations@scale.com. Please see the United States Department of Labor's for additional information.We comply with the United States Department of Labor's .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 for additional information.Required
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Keywords: Scale AI, Inc., Modesto , Enterprise Product Manager, Executive , San Francisco, California