Core Engineer, Senior Manager

About the role

The Senior Manager, Engineering position at Integral Ad Science (IAS) requires a hands-on AI-native leader with extensive experience in building and scaling AI systems. This role involves leading and mentoring a team of 6-10 engineers, operating as both a player and coach, and fostering a collaborative environment to transform complex business problems into robust solutions.

Responsibilities

• 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.
• 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, 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.

Qualifications

• 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

• Strong technical acumen and problem-solving skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience with Agile methodologies and continuous integration/continuous delivery (CI/CD).
• Knowledge of cloud computing platforms (AWS, Azure, Google Cloud).
• Experience with data management and analytics tools.

Benefits

Our comprehensive benefits package includes paid time off, health insurance (medical, dental, vision), PPO, HSA and FSA options, and a 401(k) with employer matching contributions. Each candidate’s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.

Pay

The annualized base salary ranges for the primary location, and any additional locations are listed below:

• Primary Location: US - New York, NY
• Additional Locations: Dublin, Ireland, US - Chicago, IL, US - San Francisco, CA

Schedule

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.