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AppLovin

Sr. AI Strategy and Operations Analyst

Toronto, ON, Canada

Pay: $150,000 - $200,000 CAD
Experience: 3–6 years of relevant experience in business operations, strategy, data, automation, engineering, AI, consulting, or a related technical/operational role.
Posting language: English
Posted: Sep 25, 2026

Apply About employer

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Original job description

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.
Strong 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, spreadsheets, APIs, and third-party services.
Ability to establish lightweight governance and security controls without unnecessarily slowing adoption.
Strong communication skills and the ability to work effectively with senior stakeholders as well as technical and non-technical teams.
A practical, ownership-oriented mindset focused on deploying solutions that are scalable, reliable, measurable, secure, and reusable.

Preferred Education and Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, Economics, Mathematics, Statistics, or another quantitative or technically oriented field.
Equivalent practical experience may be considered in place of a specific degree.
Experience in business operations, consulting, strategy and operations, analytics, technical program management, automation, or internal tooling is 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 independently 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.

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

This posting is for a new position.

Canada base pay range (total compensation package will be commensurate with experience)

$150,000 - $200,000 CAD

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here.

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

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More about this job

Responsibilities

Develop and execute AI adoption roadmaps, identify automation opportunities across business functions, and build secure, monitored integrations and reusable AI workflows. Establish governance, onboarding, documentation, and success metrics while enabling internal champions and scaling effective solutions across teams.

Requirements

Candidates should have 3–6 years of relevant experience and a record of independently driving cross-functional technology, data, automation, or AI initiatives from problem definition through adoption. Strong Python and SQL skills, familiarity with APIs, databases, cloud infrastructure, Git, enterprise systems, and LLM tools are expected; a relevant bachelor’s degree or equivalent practical experience is preferred.

Skills

AI Strategy
AI Adoption
Business Operations
Automation
Python
SQL
APIs
Databases
Cloud Infrastructure
Git-Based Workflows
Data Integration
AI Governance
Data Classification
Identity and Access Management
Monitoring and Alerting
Cross-Functional Program Management

Benefits

Equity
Dental Insurance
Vision Insurance

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Adoption Roadmaps
AI Workflows
Agentic Systems
Automation
Business Operations
Python
SQL
APIs
Databases
Cloud Infrastructure
GCP
AWS
Azure
Git
GitHub
Enterprise Systems
Data Platforms
Spreadsheets
Identity and Access Management
Service Accounts
Data Classification
AI Governance
Security Reviews
Access Controls
Monitoring and Alerting
Workflow Evaluation
Data Reconciliation
Operational Analytics
Cross-Functional Collaboration

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