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Head of Product Design

Scale AI

Scale AI

Product, Design
San Francisco, CA, USA
Posted on Oct 23, 2024

Scale is looking for an experienced product design leader to manage the growing Product Design team. This role will report directly to the VP of Engineering. You will be the voice of our users and customers while partnering with leaders across Product, Engineering, Marketing, and Sales to understand, scope, and resource the company’s product design needs. You will grow the product design team, coach & mentor its members, and ensure consistent user experience across all of Scale’s products.

Responsibilities:

  • Build and lead a team of product designers
  • Drive product design strategy and nurture Scale’s design processes, systems and technical expertise
  • Develop a partnership with Product & Engineering to optimize user experience
  • Foster design culture and promote strong team morale
  • Collaborate with engineering and product teams to define measurable OKRs for the team during the quarterly planning cycle, and allocate & deploy resources in alignment with the company goals
  • Cultivate career and skill growth opportunities for your reports
  • Establish a deep understanding of Scale’s verticals and product ecosystem
  • Quickly grasp and translate ambiguous feedback and communications into clear, actionable plans and solutions for your team
  • Balance competing interests diplomatically and with an open mind while also prioritizing Scale's vision

Requirements:

  • 8+ years of total Product Design experience
  • 3+ years of experience managing designers and growing a team
  • An excellent portfolio showing UX, UI, and visual design
  • Highly skilled in Figma (and other design tools)
  • Strong ability to “filter out the noise” in order to prioritize and adjust scope to align best with the company needs
  • Exceptional communication & presentation skills that enable productive and collaborative working relationships
  • Experience delivering 0-1 products from concept to launch
  • Experience and passion for mentoring Designers
  • Thrive under pressure and can seamlessly adapt to rapid changes
  • Shown success working in and leading teams in a scrappy and fast-growing environment
  • Experience creating and/or maintaining robust design systems
  • Experience in enterprise SaaS companies or products

Nice to haves:

  • Prior experience working at start-ups
  • Experience designing cutting-edge AI and ML technologies
  • Background working in Enterprise SaaS, B2B, D2C
  • Experience designing for new products from the ground up
  • A passion for AI and Scale’s mission to accelerate AI development
  • A deep interest in innovating towards complex problems

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:
$200,000$275,000 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 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 accommodations@scale.com. 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.