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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 Public Sector team.
Scale's Public Sector business is growing rapidly, powered by customer demand for Donovan, Scale’s AI power-decision making platform for defense. As our Public Sector team continues to scale and evolve, we’re looking for an HR Business Partner to work closely with our leaders and team members to ensure our people and organizational strategy supports our growing business.
As the HR Business Partner, Public Sector, you will be deeply embedded within the Public Sector team, support and advise team members as our business scales, 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 Public Sector team as successful as possible.
You will:
- Provide end-to-end HRBP support across our growing and evolving Public Sector business unit
- Establish yourself as a trusted advisor and a knowledgeable, reliable, and empathetic partner for our employees and leaders across the Public Sector team
- Coach and advise leaders on best people practices and uplevel manager skill sets
- Lead project management for all people programs for the Public Sector organization, including org planning, onboarding, performance cycles, engagement surveys, and career development efforts
- Drive organization and order for people data and use it to provide insights and recommendations to leaders
- Work in a hybrid work environment at our Washington, DC office
Ideally you'd have:
- 5+ years of experience working in HR with progression and growth in scope, with 1+ years of experience in an HR Business Partner role at a fast-paced company
- Demonstrated experience engaging with senior leadership on org-wide initiatives, and ability to partner and build relationships with executives
- 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 in a fast growing, tech company
- Experience working with federal government or military
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 Washington DC is:
$118,800—$142,560 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.
