Jobs / Canada / Applovin Corporation
Sr. AI Strategy and Operations Analyst
Applovin Corporation · 🇨🇦 Toronto
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Applovin Corporation
No government sponsor record covers this employer in this country.
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About the role
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, au