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About the Role

Provide technical leadership for design and architectures for building solutions that allow for seamless integration with current and future partners. Manage teams to deliver on the mission of helping advertisers understand the quality of ad data they're purchasing within the digital media ecosystem. Lead engineers to design, build, and deploy cutting-edge technical solutions. Drive technical innovation and ensure engineering efforts align with business impact. Foster a collaborative environment, partnering with Product and stakeholders to transform complex business problems into robust, scalable solutions.

Responsibilities

Lead and mentor a team of 6-10 engineers, guiding them through the entire software development lifecycle.
Operate as a player-coach, staying hands-on to review designs, break down problems, and set technical direction.
Own the business and organizational strategy for your domain.
Identify problems that are most worth solving to drive business outcomes.
Collaborate across teams to ensure AI-augmented work streams create cohesive results.
Partner with Product Managers and stakeholders to define product requirements, set goals, and translate them into actionable engineering roadmaps.
Raise the bar for your team by coaching them on technical best practices.
Act decisively when technical leverage isn't being fully utilized.
Own and manage tooling and infrastructure investments for your team.
Manage hiring, performance, and retention to build a high-performing team.

Requirements

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.
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.
A track record of delivering complex technical projects on time.
Experience building and leading teams in a fast-paced, agile environment.
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).

Skills

AI
Machine Learning
System Design
Architecture
Software Development Lifecycle
AI-augmented development workflows
MLOps
CI/CD
Model Monitoring
Data Pipelines

Location

US - New York, NY
Dublin, Ireland
US - Chicago, IL
US - San Francisco, CA

Work Type

Full-time

Experience Level

Senior Manager
8+ years of hands-on experience in software development
5+ years leading and managing engineering teams

Education Level

BS, MS, or Ph.D. in Computer Science, Data Science Machine Learning, or a related STEM field

Salary/Compensations

126,000.00 - 216,000.00 USD Annual

Benefits

Paid time off
Health insurance (medical, dental, vision)
PPO, HSA and FSA options
401k with employer matching contributions
Competitive compensation
Eligible for an annual bonus and/or other incentive plans

About the Company

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.

Equal Opportunity

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.