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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:
- Design and execute comprehensive technical recruiting strategies aligned with company growth objectives
- Manage a team of recruiters, providing mentorship, coaching, and performance development
- Lead, set clear guidelines, coach and develop a team of recruiters
- Develop and optimize recruiting processes, including candidate experience, interview methodologies, and assessment techniques
- Collaborate closely with hiring managers and leadership to understand evolving talent needs and skill requirements
- Implement data-driven recruiting metrics and analytics to continuously improve hiring effectiveness
- Develop employer branding strategies to position the company as a top destination for technical talent
- Manage recruiting technology stack and explore innovative sourcing and assessment tools
You have:
- 5+ years of Product and/or Ops Recruiting experience
- Minimum 2 years in a recruiting management role
- Proven track record of recruiting for complex technical roles in Operations and Product
- Experience managing and developing recruiting teams
- Deep understanding of technical job markets, compensation trends, and talent acquisition strategies
- Exceptional communication and interpersonal skills
- Proven ability to operate effectively in a fast-paced, high-growth environment
Nice to have:
- Advanced degree in Human Resources, Business Administration, or related field
- Experience recruiting in high-growth technology companies
- Demonstrated success in scaling recruiting teams
- Proficiency in recruiting technologies and ATS systems (GH, 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.
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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