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Strategic Product Associate

San Francisco, CA; New York, NY

Scale is at the forefront of enabling Machine Learning across multiple industries including Generative AI and self-driving cars. Associate Strategic Product Managers will 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.

The Customer Insights team is dedicated to supporting Scale’s position as a thought leader in frontier model development by offering comprehensive and actionable insights. This will involve a combination of analytical, go-to-market, technical stakeholder management, product management, and operations work. The ideal candidate has a strong entrepreneurial mindset, is comfortable getting in front of technical stakeholders to drive “must-win” outcomes, and has experience writing and presenting in front of executives. 

In this role, you will:

  • Work on cross-functional initiatives with technical and non-technical stakeholders to produce actionable insights that shape data and model strategies for Generative AI customers. 
  • Parse through convoluted and complex data (using SQL and Python) to identify clear takeaways and actionable insights using both qualitative and quantitative methods.
  • Communicate effectively and present findings to senior leaders in a structured manner. 
  • Experiment with and develop frontier datasets that push the boundaries of ML model development.

Ideally, you will have:

  • 2+ years of experience in a technical, data heavy role
  • Some analytical or engineering background (a degree in computer science or equivalent experience)
  • Experience coding and querying (preferable experience with SQL and Python)
  • Experience conducting data analyses and producing executive-level reports or presentations to share findings.
  • Strong verbal and written communication skills.
  • Excitement to do intense, high-impact work and 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 locations of San Francisco, New York, or Seattle, is $116,000 – $139,200. 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 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:

$116,000 - $139,200 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 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. 

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The role requires the ability to do data analytics using SQL or Python

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