Remote Senior Engineering Manager - San Francisco, CA, United States - Scale AI

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    Full Time] Senior Engineering Manager, Platform at Scale AI (United States) | BEAMSTART Jobs Senior Engineering Manager, Platform
    Full Time
    Remote Work
    Stock Options
    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 have experience leading a high performance horizontal engineering team; 30% Managing of IC's within the team
    ~20% strategic platform planning with product leads
    ~20% technical platform planning, design, and coding

    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

    Technically impressive, breaks down platform strategy and team asks into correct technical building blocks, mentors the team's technical output and calls BS.

    Uses data for decision making
    5+ years track record in engineering management and leadership positions
    ~ Track record of Platform & infrastructure development in the high performance product companies environment. 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.

    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 are also granted Stock Options that are awarded upon board of director approval. Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

    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 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.

    Data-centric infrastructure to accelerate the development of AI
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