About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

About The Role We are looking for someone to join our AI Strategy team to drive the adoption of AI and automation across business teams. This role will sit at the intersection of business operations, data, engineering, and AI, helping teams turn manual workflows into scalable, secure, and measurable AI-enabled processes.

What Success Looks Like In This Role Success means enabling teams across the organization to use AI safely and with increasing independence, replacing manual processes with repeatable workflows, scaling high-impact use cases across functions, and delivering measurable improvements in productivity, quality, reliability, and operational risk.

Responsibilities

Define and execute AI adoption roadmaps across business functions.

Partner with Finance, Legal, HR,



and other teams to identify high-value opportunities for AI, automation, and workflow improvement.

Build monitoring and alerting for AI-powered data pipelines, integrations, and automations.

Establish clear documentation for dashboards, metrics, data sources, ownership, and calculation logic.

Operate an internal AI skills and automation program, including:

User onboarding and enablement

Contributor and skill-author approvals

Security and governance reviews

Adoption, usage, and quality tracking

Build, launch and manage team-specific libraries of reusable AI skills, tools, and workflows.

Develop and support internal AI champions and power users across the organization.

Coordinate secure integrations between AI tools and enterprise systems, data platforms, APIs, spreadsheets, and third-party services.

Partner with IT, Security, Engineering, Data, and business teams to establish the required cloud, source-control, identity, permissions, and service-account infrastructure.

Develop reusable automation patterns for moving data between Python-based workflows, APIs, databases, spreadsheets, and internal systems.

Translate operational business processes into reusable AI capabilities, including:

Multi-source data reconciliation

Query and scripting assistance

Data-import troubleshooting





Integration diagnostics

Audit and evidence collection

User-access and permissions reviews

Reporting and operational workflow automation

Interview business users to assess AI maturity, identify high-value use cases, surface capability gaps, and develop internal champions.

Create practical data-classification and governance guidance for safe AI use.

Define and track success metrics across adoption, quality, time savings, reliability, operational efficiency, and risk reduction.

Build a repeatable onboarding framework and establish standards and reusable patterns that allow new teams to adopt AI safely and efficiently, and successful workflows to scale across teams rather than remaining isolated solutions.

What We’re Looking For

3–6 years of relevant experience in business operations, strategy, data, automation, engineering, AI, consulting, or a related technical/operational role.

Experience independently owning or driving cross-functional technology, automation, data, or AI initiatives from problem definition through implementation and adoption.

Robust understanding of business operations and the ability to translate ambiguous operational problems into practical technical solutions.

Comfortable working with APIs, databases, cloud infrastructure, identity systems, Git-based workflows, and automation platforms.

Strong working knowledge of Python and SQL.

Familiarity with major LLM-based tools and platforms; experience building AI workflows, agentic systems, reusable skills, automation loops, or autonomous workflows is strongly preferred.

Experience integrating enterprise systems, data platforms

📌 Sr. AI Strategy and Operations Analyst (Toronto)
🏢 AppLovin
📍 Toronto