Scale AI Logo

Scale AI

Chief of Staff, Machine Learning

Sorry, this job was removed at 07:58 p.m. (PST) on Monday, Jun 23, 2025
Easy Apply
In-Office
San Francisco, CA
204K-255K Annually
Easy Apply
In-Office
San Francisco, CA
204K-255K Annually

Similar Jobs

8 Hours Ago
In-Office or Remote
8 Locations
252K-377K Annually
Senior level
252K-377K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead the design of food and beverage products to enhance restaurant operations by improving front and back of house workflows, ensuring user-centric design, and mentoring a high-performing team of product designers.
Top Skills: Systems DesignUiUx
10 Hours Ago
Remote or Hybrid
California, USA
150K-300K Annually
Senior level
150K-300K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
The Enterprise Account Executive is responsible for driving sales with G2K net new prospects and expanding NinjaOne's adoption. Key duties include pipeline building, managing sales cycles, and conducting presentations.
Top Skills: SaaSSalesforce
10 Hours Ago
Hybrid
California, USA
60K-150K Annually
Senior level
60K-150K Annually
Senior level
Information Technology • Productivity • Professional Services • Software
Seeking an experienced Account Executive to manage customer relationships and expand the client base within the ServiceNow ecosystem, handling the entire sales cycle and providing after-sales support.
Top Skills: Crm SoftwareMS OfficeSalesforce

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight frameworks and beyond. 

In this high impact role, you will partner closely with our leaders in the ML organization, develop research roadmaps, drive planning processes, and lead ML strategy. The ideal candidate is a highly motivated individual who is able to combine meticulous planning & organization, analytical rigor, an obsessive focus on customer relationships and outcomes, and an empathetic interpersonal style. You have a demonstrated ability to lead AI projects and initiatives, establish credibility with internal and customer C-Suite stakeholders, and are comfortable rolling up your sleeves to tackle a variety of challenges. If you want to work on the most ambitious Generative AI innovation in the world and have some fun while doing it, we'd love to hear from you!

You will:
  • Partner with the Head of ML and other senior leaders to define business priorities, drive execution of key initiatives, and create alignment between and within teams.
  • Help develop overall business unit strategy, business development priorities, and internal operating models.
  • Drive weekly, monthly, quarterly, annual planning processes for the ML business unit.
  • Perform analyses and provide recommendations to facilitate effective business unit decision making.
  • Own key operational rhythms / processes (weekly leadership meetings, All Hands, OKR reviews, team offsites), including preparing the agenda, facilitating the discussions, documenting notes / action items, and closing out follow ups.
  • Act as a thought partner to ML business unit leadership, proactively identifying risks and opportunities to shape our products and improve internal operations.
Ideally you'd have:
  • Exceptional executive communication skills with the ability to distill complex ideas into clear, concise insights—and deliver them through engaging presentations and slide decks.
  • Demonstrated technical aptitude; comfortable reviewing technical research (e.g., Scale AI Research) and grasping high-level concepts quickly.
  • Highly organized with a planning-focused mindset. Strong prioritization and multitasking capabilities in fast-paced, dynamic environments.
  • A strong orientation towards outcomes and data-driven decision making, and a willingness to roll up your sleeves to get the job done.
  • Proven track record of building relationships and influencing across teams without direct authority.
Nice to haves:
  • Degree or professional experience in computer science or other STEM fields, or hands-on experience with building software or machine learning systems.
  • Enterprise and/or AI product management experience.

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:
$204,000$255,000 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 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.

Scale AI San Francisco, California, USA Office

San Francisco, CA, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account