Sourcing Manager

Posted 18 Hours Ago
Be an Early Applicant
2 Locations
160K-195K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Sourcing Manager will drive sourcing initiatives for Scale's top priority roles, design comprehensive sourcing strategies, manage a team of sourcers, and collaborate with hiring managers to enhance talent acquisition in AI and technology. Additionally, the role involves utilizing advanced sourcing tools, analyzing recruitment data, and implementing sourcing metrics to improve candidate quality.
Summary Generated by Built In

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 Sourcing Manager to drive sourcing initiatives across Scale’s highest priority roles globally.  The Sourcing Manager will be a critical player in our talent acquisition strategy, responsible for developing and implementing proactive sourcing techniques to attract top-tier talent in the competitive AI and technology landscape. This role requires a blend of technical understanding, strategic thinking, and exceptional relationship-building skills.

You will:

  • Design and execute comprehensive sourcing strategies targeting exceptional talent in AI, machine learning, engineering, and related technical and non technical domains
  • Manage a team of technical and non technical sourcers, providing mentorship, coaching, and performance development
  • Lead, set clear guidelines, coach and develop a team of sourcers
  • Develop and maintain a robust talent pipeline for both current and anticipated hiring needs across multiple functions
  • Utilize advanced sourcing tools, social media platforms, professional networks, and innovative outreach techniques to identify and engage passive candidates
  • Collaborate closely with hiring managers to deeply understand role requirements, team dynamics, and strategic hiring objectives
  • Create and implement targeted sourcing campaigns for hard-to-fill technical and leadership positions
  • Leverage data-driven insights to continuously refine sourcing approaches and improve candidate quality
  • Develop and track key sourcing metrics, including candidate engagement rates, source of hire, and pipeline diversity
  • Implement and manage employee referral programs to enhance internal talent acquisition efforts
  • Stay current with emerging trends in AI, technology recruitment, and innovative sourcing methodologies

You have:

  • 5+ years of experience in technical and non technical sourcing, with a proven track record in high-growth tech environments
  • Deep understanding of the AI and technology talent landscape
  • Proven ability to source and engage passive candidates in technical roles
  • Advanced proficiency with recruiting technologies and platforms (e.g., LinkedIn Recruiter, AI-powered sourcing tools)
  • Strong analytical skills with the ability to interpret recruitment data and metrics
  • Exceptional communication and relationship-building skills
  • Ability to work in a fast-paced, dynamic startup environment
  • Experience managing and developing sourcing teams
  • Strong understanding of technical job markets, compensation trends, and talent acquisition strategies
  • Exceptional communication and interpersonal skills
  • Ability to operate effectively in a fast-paced, high-growth environment
  • This position is based out of our SFHQ or NYC office.  We work a hybrid schedule 3x a week in office 

Nice to have:

  • Advanced degree in Human Resources, Business Administration, or related field
  • Experience recruiting in AI, machine learning, or high-growth technology companies
  • Demonstrated success in scaling recruiting teams
  • Proficiency in recruiting technologies and ATS systems (Greenhouse + Gem)
  • 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. 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:

$160,000$195,000 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 [email protected]. 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.

Top Skills

AI
Engineering
Machine Learning
The Company
San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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