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Manager, AI Technical Product Management
Manager, AI Technical Product ManagementThe Walt Disney Studios • Burbank, CA, US
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Manager, AI Technical Product Management

Manager, AI Technical Product Management

The Walt Disney Studios • Burbank, CA, US
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Job Description

This is not a remote role. You must be in the local area or open to relocation

Office of Technology Enablement (OTE)

The Office of Technology Enablement (OTE) is Disney’s central engine for transforming emerging tech into real world magic. We orchestrate company-wide efforts in artificial intelligence, machine learning, and mixed reality, empowering every segment—from Studios and ESPN to Parks & Experiences—to unlock new value and delight our guests in responsible, innovative ways.

We are looking for an experienced Manager, AI Technical Product Management to serve as a technical product leader bridging OTE's AI capabilities with Disney's diverse businesses. In this role, you will spot AI opportunities, shape lean experiments, and shepherd them into measurable wins—partnering closely with product, engineering, creative, legal, and finance teams across the enterprise.

With your deep technical background in AI / ML systems and proven ability to architect solutions at scale, you will turn nascent business opportunities into technical implementation roadmaps—defining clear hypotheses, success metrics, and delivery plans that translate bold ideas into scalable, high impact technical solutions.

If you are a visionary yet hands on leader who can navigate ambiguity, inspire cross functional teams, and deliver tangible results in a fast-moving landscape, we’d love to meet you.

Key Responsibilities

  • Build Technology Roadmaps for AI Implementation – Partner closely with our Staff Data Scientists and Architects to design technical frameworks and implementation blueprints for AI / ML solutions across Disney's businesses; translate complex technical architectures into phased delivery plans that balance innovation with production readiness.
  • Opportunity Assessment and Product Discovery – Apply your ML + engineering expertise to transform raw ideas from business units into structured hypotheses, ROI projections, and lean experiments; maintain a technically-vetted, prioritized AI opportunity backlog with clear feasibility assessments and architectural approaches.
  • Program and Portfolio Leadership – Operate our end-to-end enablement model (Advise → Connect → Design → Build), tracking value, risk, and technical resources through data-driven dashboards; refine processes so OTE can scale from dozens to hundreds of engagements.
  • Portfolio Analytics and Executive Reporting – Build data pipelines and analytics systems to surface patterns, emerging technical needs, and cross-segment synergies; deliver metrics-led technical insights and architectural recommendations that shape Disney wide AI strategy.
  • Technical Implementation Coordination Drive technical decision-making and clear implementation blockers across Legal, Privacy, Security, Procurement, and Finance; ensure all technical architectures meet Disney's Responsible AI guard rails and compliance standards.
  • AI Community Building & Knowledge Management – Lead AI implementation communities; produce AI Working Group sessions, office hours, showcases, and maintain an internal technical knowledge hub with reference architectures, best practices, and reusable components that grows a vibrant network of technical practitioners.
  • Technical Team Leadership Lead a small PM team and partner with two Technical Leads (Staff Architect & Staff Data Scientist), aligning design with product outcomes and driving technical adoption across segments.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; Master's degree preferred (MBA or MS in technical discipline).
  • 8 years in technical product or program management, or technology strategy roles with hands-on experience building and shipping ML systems in partnership with engineering and business teams.
  • Experience leading cross functional squads or direct reports—able to coach, not just coordinate.
  • Demonstrated technical expertise translating ambiguous AI / ML opportunities into production systems with clear architectural decisions, technical trade-offs, and measurable outcomes..
  • Fluent in modern AI / ML concepts and architectures, and adept at bridging technical and business audiences.
  • Proven relationship builder comfortable engaging executives, engineers, and creative talent across multiple business units.
  • Technical product management expertise with proficiency in agile delivery, technical documentation, API design, and building data-driven dashboards.
  • Hands on experience navigating data quality and infrastructure challenges; familiarity with MLOps principles and model lifecycle management.
  • Exceptional written, verbal, and visual storytelling that reflects Disney’s inclusive culture.
  • Preferred Qualifications

  • MBA or MS in Computer Science, Data Science, or related field.
  • Experience as a technical product manager at a major technology company (FAANG or equivalent) shipping AI / ML products at scale
  • Prior experience applying AI / ML to media, consumer products, or entertainment technology challenges. Track record in start-up scouting, incubators, or innovation centers surfacing emerging tech opportunities.
  • Production experience with MLOps platforms (Kubeflow, MLflow, SageMaker) and cloud AI services (AWS, GCP, Azure).
  • #DISNEYTECH

    The hiring range for this position in Burbank is $152,200.00 to $204,100.00 per year. 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.

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