Senior Intelligence Engineer, Manager

Integral Ad Science

Senior Manager Engineering leading teams to design and build AI solutions for ad data quality. Driving technical innovation and collaboration with Product to solve business problems.

Posted 7/3/2026full-timeNew York City • California, Illinois, New York • 🇺🇸 United StatesSenior💰 $126,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams to design and deploy AI and machine learning systems, ensuring alignment with business strategies and effective collaboration with stakeholders. Proven ability to manage technical projects and foster a high-performing, agile environment.

Highest-signal resume keywords

AI And Machine Learning SystemsTechnical LeadershipSystem Design And ArchitectureAgile Environment ExperienceCross-Team Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI-Augmented Development WorkflowsTechnical Best PracticesEngineering RoadmapsData Quality ManagementProblem IdentificationPerformance ManagementTooling And Infrastructure ManagementScalable SolutionsProduction-Grade AI Services

Soft Skills

Excellent CommunicationCollaborative Environment FosteringCoaching And Mentoring

Certifications & Qualifications

BS In Computer ScienceMS In Data SciencePh.D. In Machine Learning

Industry Keywords

Technical InnovationBusiness ImpactStakeholder PartnershipHigh-Performing TeamsFast-Paced Environment

About the role

Key responsibilities & impact

Provide technical leadership to your teams for design and architectures for building solutions for seamless integration with partners
Manage engineering teams delivering on the IAS’s mission concerning ad data quality
Lead a team of engineers to design, build, and deploy technical solutions
Drive technical innovation aligned with business impact within AI strategy
Foster a collaborative environment, partnering with Product and stakeholders to transmute business problems into scalable solutions
Own business and organizational strategy for the domain, including problem identification
Collaborate across teams for cohesive, powerful results with AI-augmented work streams
Partner with Product Managers to define product requirements and translate them into engineering roadmaps
Coach the team on technical best practices to push for significant impact
Manage tooling and infrastructure investments for the team
Oversee hiring, performance, and retention for a high-performing team.

Requirements

What you’ll need

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.

Benefits

Comp & perks

paid time off
health insurance (medical, dental, vision) as well as PPO, HSA and FSA options
401k with employer matching contributions
competitive compensation
annual bonus and/or other incentive plans