Director, Engineering
$162.4k - $278.4kIntegral Ad Science
Director, Engineering
As a Director, Engineering, you will provide technical leadership to your teams for design and architectures for building solutions that allow for a seamless integration with current and future partners. You will manage those teams as they deliver on the IAS's mission of helping advertisers understand the quality of the ad data they're purchasing within the digital media ecosystem.
You will lead a team of talented engineers to design, build, and deploy cutting-edge technical solutions that will redefine our products and industry. You will be at the forefront of our AI strategy, driving technical innovation and ensuring our engineering efforts align with a significant business impact.
The ideal candidate is an AI-native leader with a proven track record of building and scaling AI systems from the ground up. You are a "builder first," maintaining a hands-on practice with the same AI-augmented workflows your team uses. You will foster a highly collaborative environment, partnering closely with Product and other stakeholders to transform complex business problems into robust, scalable solutions.
What you'll get to do:
- Lead and mentor a team of 6-10 engineers, guiding them through the entire software development lifecycle—from research and prototyping to deployment and operations.
- Operate as a player-coach, staying hands-on enough to review designs, break down hard problems, and set technical direction by example, not just through delegation.
- Think and act strategically by owning the business and organizational strategy for your domain, not just the technical execution. Choose what not to build, as deliberately as what to build, identifying the problems that are most worth solving to drive business outcomes.
- Collaborate across teams to ensure that our parallel, AI-augmented work streams create cohesive and powerful results rather than incoherence.
- Partner with Product Managers and stakeholders to define product requirements, set precise goals, and translate them into actionable engineering roadmaps that deliver business value.
- Raise the bar for your team by coaching them on technical best practices and pushing for an order-of-magnitude impact. Act decisively when technical leverage isn't being fully utilized.
- Own and manage the tooling and infrastructure investments for your team, making disciplined decisions as tools move to consumption-based pricing.
- Manage hiring, performance, and retention to build a high-performing team.
Who you are and what you have:
- BS, MS, or Ph.D. in Computer Science, Data Science Machine Learning, or a related STEM field.
- 8+ years of hands-on experience in software development, with at least 5 years leading and managing high-performing engineering teams.
- Deep, hands-on experience building and deploying AI and machine learning systems at scale
- A "builder first" mentality, with current, hands-on experience in modern AI-augmented development workflows
- Proven ability to partner effectively with Product and business stakeholders to translate business needs into technical solutions
- Expertise in system design and architecture for scalable, production-grade AI services
- Experience working with other teams or technical program managers to coordinate cross-team projects
- Excellent communication skills and a track record of delivering complex technical projects on time
- Experience building and leading teams in a fast-paced, agile environment.
What puts you over the top:
- Experience with MLOps, including CI/CD for machine learning, model monitoring, and data pipelines
- A history of contributing to the AI community (e.g., open-source projects, publications, or conference presentations)
Title note: The external title for this role is intended to reflect the level of experience, scope, and leadership we are seeking in the market. Internal title may differ based on the candidate's background, expertise, and the final role structure.
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate's compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - New York, NY
Primary Location Base Pay Range:
Annual
Additional Locations:
Dublin, Ireland, US - Chicago, IL, US - San Francisco, CA
Additional Locations Pay Range:
162,400.00 - 278,400.00 USD Annual
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 View email address on click.appcast.io.
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 View email address on click.appcast.io. We will get back to you if there's interest in a partnership.
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