Manager – Applied AI

The Walt Disney Company

. Build a team of AI-native builders 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 delivering AI-powered products end-to-end, leveraging modern AI application stacks and data literacy. Proven leadership in building and managing teams, fostering collaboration, and translating technical solutions to 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 ManagementProblem SolvingCollaborationCommunication

Tools & Technologies

CursorEval Harnesses

Industry Keywords

Applied AIData EngineeringEnterprise-Scale DataLegacy SystemsGolden DatasetsTrace Analysis

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Build a team of AI-native builders within Disney’s Applied AI Acceleration practice
Lead a squad of 2–4 team members and deliver AI-powered products for Disney business partners
Deliver 2–4 concurrent AI engagements with varying delivery cadences, from days to weeks
Stand up squads of 2–4 builders, including Applied AI Engineers, a Squad Anchor or Principal Applied AI Engineer partner, and occasional Data Engineer or TPM pairings
Review pull requests, pair on difficult problems, and work directly in the codebase using tools such as Cursor
Identify the underlying problem, rapidly prove feasibility, and determine what is worth shipping
Build stakeholder relationships across all organizational levels
Translate between business outcomes and technical tradeoffs
Extract reusable components, playbooks, or templates from each engagement
Work on-site at least four days per week for teamwork and collaboration
Operate as a player-coach, coding 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 delivering 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
Preferred: 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

Benefits

Comp & perks

Bonus and/or long-term incentive units may be provided
Medical benefits
Financial benefits
Other benefits dependent on the level and position offered
Primarily on-site / occasionally from home work arrangement