Job Posting Title:
Manager - Applied AIReq ID:
10150905Job Description:
Department Description:
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
Team Description:
Disney’s Applied AI Acceleration team embeds directly with our businesses to turn AI possibilities into shipped solutions. We prototype fast, solve real problems, and build the internal capability that makes it stick. If you want to build things that actually change how Disney operates, this is your team.
What You’ll Do:
We are hiring a Manager, Applied AI to join our Team!
This role will be on-site at least 4 days per week for teamwork and collaboration!
This role will be responsible for building a team of AI-native builders: engineers who treat Claude, Cursor, and whatever comes next as native collaborators; run a squad of 2–4 team members inside Disney's Applied AI Acceleration practice, taking ambiguous problems from our business partners and shipping AI-powered products that move the needle.
What matters most is that you speak and think in user problems and AI solutions. This isn't about building fast for its own sake. It's about knowing you're building the right thing for the user. The person across the table, not the ticket in the backlog. Engineers who know product are great. Product ninjas who know how to build are great. What we care about is that you deliver value to the business teams who need it most. The ones inside Disney who have had “we should use AI for this” on a roadmap for two years and don't know where to start.
You're insatiably curious, high-collaboration. You're constantly building at the frontier, whether or not anyone's asked you to. And you lead by doing. This is a player-coach role; you'll be in the codebase with your team, shipping alongside them.
Responsibilities:
- End-to-end delivery of 2–4 concurrent AI engagements with different Cadence - some get scoped and shipped in days; others take weeks.
- Stand up a squad of 2–4 builders - Applied AI Engineers, a Squad Anchor or partnership with the Principal Applied AI Engineer, occasional Data Engineer or TPM pairing.
- Review PRs in codebase, pairing on hard problems, picking up Cursor and working through the stuck parts.
- The opening of every engagement: finding the real problem underneath the stated one, proving feasibility fast, and deciding what's worth shipping.
- Stakeholder relationships across all levels of the organization - You translate between business outcomes and technical tradeoffs without losing nuance in either direction.
- Pattern extraction. Every engagement yields at least one reusable component, playbook, or template that the practice can deploy on the next one.
Required Qualifications & Skills:
- 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. LLMs, agents, embeddings, classical ML
- Working fluency with the modern AI application stack - in production: prompt design, RAG, tool-calling agents, eval harnesses
- Data literacy. SQL, APIs, basic transformations. Enough to unblock yourself when an engagement stalls on a data question instead of waiting for the Data Engineer
- Experience leading people - Direct reports, tech leads and/or engagement teams
Preferred Qualifications:
- Experience building AI products without a dedicated engineering team backing you (ex. Startup Founder, Solutions Engineer, “Solo-PM-who-ships” or any other environments where the gap between idea and production was yours to close
- Prior experience with enterprise-scale data and legacy systems
- Experience with golden datasets, trace analysis, LLM-as-judge
Education:
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
#DISNEYTECH
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The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle, WA is $179,700 - $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:
Services and PlatformsJob Posting Primary Business:
Services and PlatformsPrimary Job Posting Category:
Software EngineerEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Burbank, CA, USAAlternate City, State, Region, Postal Code:
USA - WA - 925 4th AveDate Posted:
2026-05-21Skills Required
- At least 8 years of relevant experience
- At least 2 years in a leadership-adjacent role such as Engineering Manager, Technical Lead, Consulting Engagement Lead, or Solutions Engineering Lead
- Experience delivering AI-powered products end-to-end, including LLMs, agents, embeddings, or classical machine learning
- Production fluency with prompt design, RAG, tool-calling agents, and evaluation harnesses
- Data literacy, including SQL, APIs, and basic data transformations
- Experience leading people, including direct reports, technical leads, or engagement teams
- Experience building AI products without a dedicated engineering team
- Experience with enterprise-scale data and legacy systems
- Experience with golden datasets, trace analysis, and LLM-as-judge
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, a comparable field, or equivalent work experience
The Walt Disney Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Walt Disney Company and has not been reviewed or approved by The Walt Disney Company.
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Pay Growth & Progression — Recent union agreements raised wage floors for large groups of park cast members—e.g., Disneyland’s $24/hour minimum rising to $26 over the contract and Walt Disney World’s path from $18 toward about $20–$20.50 by 2026—signaling upward movement in hourly pay. These steps are described as meaningful improvements for many frontline roles.
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Healthcare Strength — Company materials outline medical, dental, and vision coverage for many full‑time roles, wellness resources, and (in Central Florida) access to Centers for Living Well clinics and pharmacy. References to mental‑health support and paid time off reinforce a strong core health offering.
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Wellbeing & Lifestyle Benefits — Complimentary theme‑park admission and discounts on hotels, dining, merchandise, and recreation are positioned as signature perks. Education support through Disney Aspire adds notable lifestyle value for eligible hourly employees.
The Walt Disney Company Insights
What We Do
The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.
