AdTechTalent
Engineering29 days agoOn-site

Integral Ad Science

Core Engineer, Senior Manager

AImachine learningMLOpsCI/CDmodel monitoringdata pipelinesteam leadershipsoftware developmentsystem designarchitectureagile

Key details

Salary

$126K – $216K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Chicago, United States; Dublin, Ireland; New York, US; San Francisco, United States

Full job description

Senior Manager, Engineering role providing technical leadership for design and architecture of AI and machine learning solutions integrated with partners. Lead a team of 6-10 engineers through full software development lifecycle. Responsibilities include hands-on technical direction, strategic business ownership, cross-team collaboration, product partnership, coaching on best practices, tooling and infrastructure management, and team hiring and retention. Requirements include 8+ years software development experience, 5+ years managing engineering teams, deep AI/ML system experience, expertise in scalable AI service architecture, and strong communication skills. Preferred experience with MLOps, CI/CD for ML, model monitoring, data pipelines, and contributions to AI community. Locations include New York, Chicago, San Francisco (all US), and Dublin, Ireland. Full-time position with salary range $126,000-$216,000 annually depending on location and experience. Benefits include paid time off, health insurance, PPO, HSA, FSA options, 401k with employer match, competitive compensation, and annual bonus eligibility.

What you'll do

  • Lead and mentor a team of 6-10 engineers through the entire software development lifecycle
  • Operate as a player-coach, staying hands-on to review designs and set technical direction
  • Own the business and organizational strategy for your domain
  • Collaborate across teams to ensure cohesive AI-augmented work streams
  • Partner with Product Managers and stakeholders to define product requirements and engineering roadmaps
  • Coach team on technical best practices and push for significant impact
  • Own and manage tooling and infrastructure investments
  • 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
  • Current, hands-on experience in modern AI-augmented development workflows
  • Proven ability to partner effectively with Product and business stakeholders
  • 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
  • Experience building and leading teams in a fast-paced, agile environment

Tech stack

AImachine learningMLOpsCI/CDmodel monitoringdata pipelines

Benefits

Paid time offHealth insurance (medical, dental, vision)PPO, HSA and FSA options401k with employer matching contributionsCompetitive compensationAnnual bonus and/or other incentive plans

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