Join AppLovin's AI Strategy team to drive AI and automation adoption across business teams. The role involves defining AI adoption roadmaps, partnering with cross-functional teams to identify AI opportunities, building monitoring and alerting systems, managing AI skills programs, coordinating secure AI integrations, and developing reusable automation patterns. Requires 3-6 years experience in business operations, strategy, data, automation, engineering, AI, or related fields. Strong skills in Python, SQL, APIs, cloud infrastructure (GCP, AWS, Azure), Git, and AI governance are needed. Bachelor's degree in a quantitative or technical field or equivalent experience preferred. Competitive compensation $150,000-$200,000 CAD. Location: Toronto, Canada.
What you'll do
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
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Requirements
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
Strong understanding of business operations and 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 preferred
Experience integrating enterprise systems, data platforms, spreadsheets, APIs, and third-party services
Ability to establish lightweight governance and security controls without unnecessarily slowing adoption
Strong communication skills and ability to work effectively with senior stakeholders as well as technical and non-technical teams
Practical, ownership-oriented mindset focused on deploying scalable, reliable, measurable, secure, and reusable solutions
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, Economics, Mathematics, Statistics, or another quantitative or technically oriented field (or equivalent practical experience)
Experience in business operations, consulting, strategy and operations, analytics, technical program management, automation, or internal tooling preferred
Demonstrated experience deploying AI, automation, or data solutions into real business workflows
Experience with cloud platforms such as GCP, AWS, or Azure, source control such as Git/GitHub, and enterprise identity or access-management systems
Familiarity with AI governance, data classification, security reviews, access controls, monitoring, or workflow/model evaluation
Experience identifying high-impact opportunities, designing solutions, and driving adoption across multiple teams
Experience working in a fast-paced technology company or similarly high-ownership environment is a plus
Competitive total compensation packagePay for performance rewards approachEquity and other forms of incentive compensation may be providedDental benefitsVision benefitsOther benefits
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