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Strategic Projects Lead, Generative AI - International

scaleai · 30+ days ago
Negotiable
Full-time
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Scale’s Generative AI business unit is a little more than one year old and is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will be leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression.

 

You will:

  • Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
  • Develop new processes or enhance existing ones to fulfill the needs of strategic customers or initiatives
  • Own the execution of our data labeling operations for strategic projects
  • Give regular progress updates to Scale’s executive team
  • Work on some of the most impactful problems at the company

Ideally, you’d have:

  • Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python).
  • 2+ years of experience leading a team, developing product or operational processes, or as a SWE. 
  • Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). 
  • Entrepreneurial experience and mindset - you are excited about building things from scratch
  • Demonstrated ability to take initiative and independently drive projects to completion without requiring constant supervision.
  • Strong program management experience, overseeing projects from inception to completion.
  • Skilled in navigating ambiguity and adapting seamlessly to changing circumstances.

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

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.

Last updated on Aug 20, 2024

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