Manager – Applied AI

The Walt Disney Company

. Build a team of AI-native builders and run a squad of 2–4 team members within Disney’s Applied AI Acceleration practice .

Posted 10/5/2026full-timeUnited StatesSeniorLead💰 $171,600 - $241,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI-powered product development, leveraging a deep understanding of the modern AI application stack and data literacy. Capable of building and managing teams while translating complex technical concepts into business outcomes.

Highest-signal resume keywords

AI-Powered Product DeliveryLeadership ExperienceModern AI Application StackData LiteracyTeam Building

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Product DevelopmentLLMsAgentsEmbeddingsClassical MLSQLAPIsPrompt DesignRAGTool-Calling Agents

Soft Skills

Stakeholder Relationship BuildingProblem SolvingCommunicationTeam LeadershipPlayer-Coach Role

Tools & Technologies

CursorEval Harnesses

Industry Keywords

Applied AIData TransformationEnterprise-Scale DataLegacy SystemsGolden DatasetsTrace Analysis

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Build a team of AI-native builders and run a squad of 2–4 team members within Disney’s Applied AI Acceleration practice
Take ambiguous business problems and ship AI-powered products
Deliver 2–4 concurrent AI engagements with varying timelines, from days to weeks
Stand up squads of 2–4 builders, including Applied AI Engineers and other partner roles
Review pull requests, pair on difficult problems, and work through blocked implementation areas using Cursor
Identify the underlying problem, rapidly prove feasibility, and determine what is worth shipping for each engagement
Build stakeholder relationships across all organizational levels
Translate between business outcomes and technical tradeoffs
Extract reusable components, playbooks, or templates from each engagement
Lead by doing in a player-coach role, contributing directly in the codebase and shipping alongside the team

Requirements

What you’ll need

Minimum 8+ years of relevant experience
Minimum 2+ years’ experience in a leadership-adjacent role: Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering lead, or equivalent
Experience with delivery of AI-powered products end-to-end, including LLMs, agents, embeddings, and classical ML
Working fluency with the modern AI application stack in production: prompt design, RAG, tool-calling agents, and eval harnesses
Data literacy, including SQL, APIs, and basic transformations
Experience leading people, including direct reports, tech leads and/or engagement teams
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Experience building AI products without a dedicated engineering team backing you (preferred)
Prior experience with enterprise-scale data and legacy systems (preferred)
Experience with golden datasets, trace analysis, and LLM-as-judge (preferred)

Benefits

Comp & perks

Bonus and/or long-term incentive units may be provided as part of the compensation package
Medical, financial, and/or other benefits