Recruiting Operations Specialist (Growth team)

San Francisco, CA

Scale AI

Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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About Scale

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 prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

As a Recruiting Operation Specialist for Growth, you will partner directly with other leaders on Recruiting, People, Finance, Growth and IT and work closely with department heads and the executive team.  You will own all things related to global recruiting operations including TA systems and tools, marketing and talent brand, internal compliance and processes, candidate experience and more. You will develop strategies to solve immediate issues all while planning for future growth and scale. You are a  builder: unafraid to try new things, build new processes, or test creative new strategies. You thrive on details and operational excellence and hold a high bar for yourself, your peers, and your team. You are excited about setting the tone of our recruiting strategy and being a key part of the leadership team. 

 

You will:

  • Be an integral member of the Growth Recruiting team, serving as a partner and the subject matter expert for all recruiting systems (ATS: Greenhouse), tools, and processes, and provide training/onboarding as needed
  • Act as a key player in keeping all the internal hiring data clean and up-to-date in our systems
  • Be the driver behind impactful changes in the ATS and improvements to the recruiting workflow
  • Collaborate on internal initiatives to build out and improve data infrastructure and reporting
  • Proactively flag discrepancies in hiring plans, requisitions, interview plans, JDs, offer details, etc. and maintain data integrity and operational excellence within the team
  • Partner closely with Ops, Growth, HR Ops, HRBP, and IT to build efficiencies in our recruiting process utilizing the systems available to us
  • Work from the San Francisco office 3x per week

Ideally you’d have:

  • Minimum of 3- 7 years of experience working in RecOps at a rapidly growing company
  • Extensive experience using Greenhouse as a Site Admin (user permissions, approvals, custom options) and pulling ad hoc reports using our internal TA tools (report connector, reporting capabilities, and limitations)
  • Strong knowledge of Gsuite (VLOOKUP, pivot tables, data validation, conditional statements and formatting, filters, etc.)
  • Excellent communication skills—written and verbal, and the ability to adjust based on the audience
  • Must have a deep understanding of Recruiting Pipelines, Funnels and Conversion metrics
  • Demonstrated excellent project management skills, ability to pull and manipulate people data sets, critically analyze existing processes, and identify opportunities for process improvement
  • Ability to work with cross-functional partners 

 

Nice to Haves:

  • Ability to write SQL queries 
  • Previous startup experience
  • Experience with various TA tools such as Modernloop, Headcount365, Gem, and LinkedIn
  • Extreme attention to detail

 

The hourly salary range for this full-time position in San Francisco, CA is $60 to 65/hr. This is a hybrid position - must be in-office 2x a week in San Francisco, CA.  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. 

 

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.

The base salary range for this full-time position in the location of San Francisco is:$120,000—$130,000 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 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.

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Tags: AGI Computer Vision Finance Generative AI Generative modeling LLMs OpenAI Pipelines Privacy SQL

Perks/benefits: Career development Equity / stock options Health care Startup environment

Region: North America
Country: United States

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