Logo
Scale AI, Inc.

Recruiting Manager, GenAI Ops

Scale AI, Inc., San Francisco, CA, United States


At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our model deployment and evaluation platforms to bring and apply AI to both enterprises and governments.


We're looking for a Recruiting Manager to drive GenAI Operation hiring. This person will lead all recruiting-related goals around headcount attainment and efficiency for their functional areas (ex. hitting headcount and funnel conversion targets, building and being accountable for hitting recruiting OKRs, reporting on recruiting progress, etc.).


You will:

  1. Design and execute comprehensive technical recruiting strategies aligned with company growth objectives
  2. Manage a team of recruiters, providing mentorship, coaching, and performance development
  3. Lead, set clear guidelines, coach and develop a team of recruiters
  4. Develop and optimize recruiting processes, including candidate experience, interview methodologies, and assessment techniques
  5. Collaborate closely with hiring managers and leadership to understand evolving talent needs and skill requirements
  6. Implement data-driven recruiting metrics and analytics to continuously improve hiring effectiveness
  7. Develop employer branding strategies to position the company as a top destination for technical talent
  8. Manage recruiting technology stack and explore innovative sourcing and assessment tools

You have:

  1. 5+ years of Product and/or Ops Recruiting experience
  2. Minimum 2 years in a recruiting management role
  3. Proven track record of recruiting for complex technical roles in Operations and Product
  4. Experience managing and developing recruiting teams
  5. Deep understanding of technical job markets, compensation trends, and talent acquisition strategies
  6. Exceptional communication and interpersonal skills
  7. Proven ability to operate effectively in a fast-paced, high-growth environment

Nice to have:

  1. Advanced degree in Human Resources, Business Administration, or related field
  2. Experience recruiting in high-growth technology companies
  3. Demonstrated success in scaling recruiting teams
  4. Proficiency in recruiting technologies and ATS systems (GH, Gem)
  5. Background in technical assessment and interview methodology design

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.

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.

#J-18808-Ljbffr