Integral Ad Science

Senior Lead Product Designer

San Francisco, CA
USD 135k - 200k
Description

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a  Senior Lead Product Designer, you will lead large-scale, complex design projects across the entire product lifecycle, ensuring that each project supports data and reporting accuracy while enabling scalable design frameworks to enable faster design iterations. You will work on various design projects, from systems design to visual design, focusing on rapid prototyping, and provide mentorship and design critiques to junior designers. The team’s goal is to simplify complex, data driven material to more accessible and digestible visuals that will delight our customers. This role is an excellent opportunity to partner closely with design and product leadership to shape IAS's design culture and direction.

What you’ll get to do:

  • Drive Design Innovation and Scalability: Develop scalable design frameworks that help formalize the design team’s processes, ensuring our products are intuitive, accessible, and maintainable. Push the boundaries of UX/UI/visual execution with rapid prototyping, exploring divergent concepts and creating a compelling design trajectory for IAS
  • Influence Product Strategy: Collaborate on product strategy and lead initiatives across digital platforms (web, email, mobile), focusing on quick, effective design solutions for data and reporting that deliver clear insights and an exceptional user experience
  • Incorporate AI-Driven Design: Apply AI experience to improve design responsiveness and interactivity, leveraging emerging AI and platform technologies to enhance user engagement and drive faster iterations
  • Mentor and Inspire: Lead and mentor a team of designers, pushing the quality of design work and providing guidance on complex, data-driven visuals. Elevate the team’s design capabilities by establishing efficient processes and promoting continuous improvement.
  • Foster Collaboration: Build strong relationships with cross-functional team members and executives, effectively representing design goals, processes, and team vision as a leader within the design studio.
  • Optimize Design Processes: Partner with the Design Manager to improve productivity and accelerate team efficiency, driving improvements in workflows, design systems, and cross-functional collaboration within the UX and Product teams.

You should apply if you have most of this experience: 

  • 10+ years related working in Product Design, UX, UI, or an HCI related field with experience working on web and mobile design at high-growth technology companies or design agencies
  • 4+ years of experience leading large design initiatives and collaborating directly with design team members to achieve scalable, high-quality designs
  • Prior experience designing for analytics-driven platforms
  • Experience creating and streamlining workflows for continuous iteration and improvement
  • Expertise in Figma with deep knowledge of utilizing design systems; extensive experience in program management tools such as Confluence and Jira
  • Embraces AI and new technologies to enhance interactivity and streamline design processes
  • Experience and passion for affecting culture change
  • Bachelor's degree in design, human-computer interaction (HCI), or equivalent professional experience

New York and California Applicants: The salary range for this position is $135,000 - $200,000. Actual pay may vary based on experience or geographic location.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.

To learn more about us, please visit http://integralads.com/

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

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Integral Ad Science
Integral Ad Science
Advertising Analytics Big Data Digital Media

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