Scale AI

Data-centric infrastructure to accelerate the development of AI

Senior Engineering Manager, Platform

$213K - $265K
San Francisco, CA and New York / Seattle, WA, US
Job Type
6+ years
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About the role

Scale is looking for an experienced platform engineering leader. You will work horizontally with the platform team supporting Scale’s existing and new product verticals creating a platform which enables fast experimentation, high interoperability, and security & compliance by default. 


The ideal candidate is someone who can hands-on lead the platform team today to create the foundational infrastructure for Scale’s scaling while also creating process and structure for the company's growth. They should create a team culture of amplifying Scale and create strong advocates within the product verticals. They should have experience leading a high performance horizontal engineering team; identifying what the company needs and with achieving outcomes which combine to push the company forward.

Day to day:

  • 30% Managing of IC’s within the team
  • 30% technical execution/coordination, resolution of execution issues
  • 20% strategic platform planning with product leads
  • 20% technical platform planning, design, and coding



  • Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint
  • Converting internal conversations into actionable platform strategy
  • High quality execution. Responsible for accelerating velocity for our platform org
  • Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members
  • Technically impressive, breaks down platform strategy and team asks into correct technical building blocks, mentors the team’s technical output and calls BS.
  • Working with the cross functional roles (Finance/Security/Supply/Ops)
  • Unblocking and pushing the team to hit deadlines
  • Comfortable with navigating hard-to-follow (or non-existent) processes and comfortable identifying processes which aren't working and changing them
  • Uses data for decision making
  • Growing the team/setting up for success
  • Fosters a collaborative, ambitious, and outcome-driven culture that embodies our values.
  • Partner with our People team to attract and engage top talent



  • SF or NYC based and able to be in person.
  • 5+ years track record in engineering management and leadership positions
  • Track record of Platform & infrastructure development in the high performance product companies environment. Candidates should be able to cite systems currently in production that they developed and rolled out. 
  • Experience building infrastructure to power AI/ML capabilities

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $212,800-$266,000. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.

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 machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and 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 accommodations@ Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

About Scale AI

Scale's mission is to accelerate the development of AI applications.

Scale is a vital part of bringing machine learning enabled technologies to the world, from autonomous driving to drones, robots and VR / AR. Our suite of managed labeling services combines manual labeling with best in class tools and machine driven checks to yield stunningly accurate training data. Scale is committed to continual innovation in combining humans with AI to prepare intelligent data, passing on these improvements to our customers (such as Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy) and powering a growing future of AI applications.

Scale's team consists of 120 people and 35 engineers of industry veterans from Dropbox, Google, Palantir, Quora, OpenAI and others.

Scale AI
Team Size:500
Location:San Francisco
Alexandr Wang
Alexandr Wang