Senior Manager, Partner Solutions

Integral Ad Science•Chicago, IL

28d•Hybrid

About The Position

As Senior Manager of Global Partner Solutions at Integral Ad Science (IAS), you will lead a team of Solutions Engineers and Technical Account Managers responsible for strategic partner and key account success. Your core mandate: drive operational excellence, client value, and innovation by embedding AI-driven solutions across all facets of the team’s work. You’ll empower your team to proactively identify and deliver automation, process improvements, and actionable analytics for both IAS clients and internal stakeholders—maximizing efficiency, scalability, and measurable client outcomes.

Requirements

5+ years in technical client success, solutions engineering, or platform operations, with at least 2 years in a people management role.
Experience leading SE or TAM teams in a SaaS, AdTech, or data-driven organization; strong understanding of ad verification and digital media ecosystems preferred.
Demonstrated success deploying or managing AI/automation solutions (workflow automation, analytics, chatbots, etc.) for internal or customer-facing use.
Strategic mindset with the ability to set a vision and lead teams to adopt new technologies for measurable efficiency gains.
Excellent interpersonal and leadership skills, with proven ability to influence across cross-functional teams.
Familiarity with tools such as Salesforce, Jira, Confluence, and business intelligence/AI platforms.
BA/BS required; technical degree or advanced certifications a plus.
Weekend support may be required

Responsibilities

Team Leadership: Manage, coach, and develop a high-performing team of SEs and TAMs, fostering a culture of innovation, continuous improvement, and accountability.
Player/Coach TAM Role: Directly act as the main platform Technical Account Manager and central POC for a roster of IAS’s largest and most strategic clients, building deep relationships, understanding their business and technical needs, and delivering expert-level support and consultation alongside your management responsibilities.
AI-Driven Strategy: Champion the adoption of AI and automation tools (e.g., workflow automation, NLP-driven reporting, predictive analytics) to streamline processes, enhance support quality, and reduce manual workloads across customer lifecycle management.
Operational Efficiency: Set and track efficiency KPIs (ticket resolution time, onboarding speed, issue recurrence, etc.). Regularly review workflows to identify automation opportunities and eliminate inefficiencies.
Client and Partner Advisory: Oversee delivery of technical guidance and recommendations, ensuring partners extract maximum value from IAS products and platform integrations—highlighting how AI-driven insights can optimize campaign outcomes and reduce friction.
Cross-functional Collaboration: Partner with Product, Engineering, and Data Science to advocate for features and integrations that drive automation and richer analytics for customers and internal teams.
AI Enablement: Lead enablement sessions for clients and internal teams, ensuring best practices in leveraging IAS platform AI features (e.g., optimization algorithms, real-time analytics, custom alerts), and serve as executive sponsor on key escalations.
Process Documentation: Standardize and document best practices, playbooks, and troubleshooting guides—continually updating to integrate learnings from new AI capabilities.
Change Management: Support the rollout and adoption of new AI-powered tools, driving training, stakeholder communication, and feedback loops.