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Strategic Product Manager

San Francisco, CA
Full Time

Scale is at the forefront of enabling Machine Learning across multiple industries including Generative AI and self-driving cars. Strategic Product Managers work closely with Strategic Product Managers and other cross-functional stakeholders to drive technical partnership with leading researchers and machine-learning engineers, building actionable competitive and market insights, as well as executing on data strategies that will advance the development of ML models.

As a Strategic Product Manager, you will work with a Strategic Product Manager on Scale’s most important customers and their leading researchers to push the boundaries of ML models and influence both internal and external roadmaps. This will generally involve a combination of analytical, go-to-market, technical stakeholder management, product management, and operations work. The ideal candidate has a strong entrepreneurial mindset and is comfortable getting in front of technical stakeholders to drive “must-win” outcomes.

You will:

  • Work on cross-functional initiatives with diverse stakeholders to develop new products or enhance existing ones to fulfill the needs of strategic customer needs (Engineering + Ops + Go to Market).
  • Develop actionable insights from competitive, market, and data intelligence.
  • Experiment and develop frontier data sets that push the boundaries of ML model development.

Ideally, you’d have:

  • 3+ years of experience in a technical role.
  • Experience reading and writing SQL and other database languages; ability to draw actionable insights from data analysis.
  • Excited to do intense, high-impact work (you should be prepared to work long weeks when necessary).
  • Entrepreneurial experience and mindset - you are excited about building things from scratch.
  • Strong software engineering background (a degree in computer science or equivalent experience) - the role will involve some coding, and you should be prepared for that.
  • Ability to solve difficult problems in high-stakes environments. This will usually involve getting into the weeds to ensure the success of “must-win” projects.

The base salary range for this full-time position in our hub location of San Francisco is $140,000 - $168,000. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.

Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$140,000$168,000 USD

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 affirmative action employer and 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 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.


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