HRBP G&A

Posted 9 Days Ago
Be an Early Applicant
San Francisco, CA
160K-226K 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
As HR Business Partner, support G&A teams through coaching, project management, and data insights. Build trust with leaders and employees while leading people programs and ensuring effective HR practices.
Summary Generated by Built In

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. To help achieve this mission, we are looking for an HR Business Partner to partner with our G&A teams. 

As HR Business Partner, you will be deeply embedded within the G&A team and will support leaders in all people-related matters. You will collaborate closely with cross-functional teams, such as HR Operations, Recruiting, Finance, Legal, and IT to make the Operations team as successful as possible.  

You will:

  • Establish yourself as a trusted advisor and a knowledgeable, reliable, and empathetic partner for both our employees and leaders across our G&A organization 
  • Coach leaders on best people practices and uplevel manager skill sets
  • Lead project management for all people programs for the G&A organization, including hiring, onboarding, performance cycles, engagement surveys, and career development
  • Drive organization and order for people data and use it to provide insights and recommendations to leaders
  • Work onsite three days a week at our SFHQ office

Ideally you'd have:

  • 5+ years of experience working in HR with progression and growth in scope, with 3+ years of experience in an HR Business Partner role at a fast-paced company 
  • Exceptional emotional intelligence and ability to relate to, empathize with, and quickly build trust with people from diverse backgrounds
  • Proven ability to thrive in a fast-paced, iterative environment and embrace changes in focus and direction as needed
  • A passion for building scalable processes in a creative, thoughtful, and organized way 
  • Experience supporting a global workforce across various job functions

Nice to haves:

  • Experience working with Bamboo HRIS
  • Strong knowledge of Google Sheets/Excel and demonstrated ability to influence decisions with data

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$225,600 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 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

Bamboo Hris
Excel
Google Sheets
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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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