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Mechanical Engineer
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Disney Worldwide Services, Inc.

Forward Deployed Product Engineer

Glendale, CA, United States

$119,200 to $159,800 USD / year

Apply on join.disneycareers.com About employer

Applications open in a new tab.

Job details

Pay: $119,200 to $159,800 USD / year
Posting language: English
Posted: Nov 13, 2026

Original job description

Job Requirements The Enterprise Technology mission is to deliver technology solutions that align with business strategies, enable enterprise efficiency, and promote cross-company collaborative innovation. Our group drives competitive advantage by enhancing consumer experiences, enabling business growth, and advancing operational excellence.

We are seeking a Product Manager with experience building and launching AI-powered products. In this role, you will identify high-value business problems, define product strategy and requirements, prioritize opportunities, and partner closely with engineering, design, data, AI/ML, and business stakeholders to bring solutions from concept through production and adoption.

You should have strong product judgment, technical fluency, and hands-on experience working with AI and LLM-powered products. You understand concepts such as LLM APIs, prompt design, retrieval-augmented generation (RAG), agents, evaluation, data integration, and human-in-the-loop workflows well enough to make informed product decisions and effectively partner with technical teams.

You are comfortable operating in ambiguity, translating business needs into clear product direction, testing ideas quickly with users, and using data and feedback to determine what to build next.

We'd love to see something you've helped build. Please include a portfolio.

This team works in the office Monday through Thursday.

Responsibilities

Define the product vision, strategy, roadmap, and priorities for AI-powered products and capabilities.
Identify high-value business and user problems and translate them into clear product requirements, user stories, workflows, and success criteria.
Lead product discovery by partnering with users and stakeholders to understand pain points, validate opportunities, and test assumptions.
Partner closely with engineering, AI/ML, data, design, and business teams to take products from concept and prototype through production launch and ongoing iteration.
Prioritize features and investments based on customer value, business impact, technical feasibility, risk, and effort.
Define measurable product outcomes and KPIs and use product analytics, user feedback, and experimentation to guide product decisions.
Shape AI-powered user experiences, including workflows, automation, agent interactions, and appropriate human-in-the-loop decision points.
Understand and help define effective uses of LLM APIs, prompt design, RAG, agents, and AI evaluation approaches.
Partner with technical teams to establish appropriate quality, evaluation, security, privacy, monitoring, and reliability expectations for AI products.
Drive pilots and prototypes with real users, gathering feedback and determining whether solutions should be iterated, scaled, or discontinued.
Develop product requirements and clearly communicate tradeoffs, decisions, dependencies, and priorities to technical teams and senior stakeholders.
Drive product launches, adoption, change management, and continuous improvement across enterprise users and business teams.
Build strong relationships across multiple business areas and align stakeholders around a shared product direction.

Required Qualifications

3 + years of Technical Product Management experience building and shipping software products for production users.
Experience contributing to or leading the development of AI, GenAI, LLM-powered, data, or other technically complex products.
Demonstrated experience defining product strategy, roadmaps, requirements, priorities, and measurable success criteria.
Strong understanding of the software development lifecycle and experience partnering directly with software engineering, data, AI/ML, and/or design teams.
Working knowledge of modern AI concepts and methods, including LLMs, prompt design, agents, RAG, APIs, and evaluation.
Experience conducting product discovery, gathering user feedback, validating requirements, and translating ambiguous business problems into actionable product direction.
Strong product and business judgment with the ability to connect product decisions to user needs and measurable business outcomes.
Experience using data, experimentation, qualitative feedback, and product metrics to inform prioritization and product decisions.
Strong written and verbal communication skills with the ability to explain technical concepts, product decisions, and tradeoffs to both technical and non-technical stakeholders.
Strong learning agility and comfort operating in a rapidly evolving technology environment.

Preferred Qualifications

Experience launching AI/GenAI products or capabilities into production.
Experience with AI product development concepts such as RAG, agentic workflows, prompt design, model selection, evaluation frameworks, and human-in-the-loop systems.
Experience experimenting or prototyping with tools such as Cursor, Claude Code, GitHub Copilot, or similar AI development tools.
Experience working with AI engineers, software engineers, data scientists, data engineers, UX/design teams, or forward-deployed engineering teams.
Experience defining success metrics and evaluation frameworks for AI products, including approaches such as golden datasets, human evaluation, LLM-as-judge, trace analysis, and production monitoring.
Experience taking products from 0-to-1, including identifying problems, validating concepts, launching MVPs, and scaling successful solutions.
Experience working across multiple business areas such as media, parks, retail, operations, HR, or finance.
Experience navigating enterprise-scale data, legacy systems, governance requirements, and complex stakeholder environments.
Strong writing skills for product requirements, strategy documents, decision records, launch communications, and executive updates.
Experience as a founder, builder, designer, engineer, or operator is a plus.

Education

Bachelor’s degree and/or equivalent work experience.

Disclaimer

PAY TRANSPARENCY

The hiring range for this position in Glendale, CA is $119,200.00 to $159,800.00 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.

This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). To learn more about Disney's guidelines on the use of AI for candidates, click here. Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Having technical issues? View the FAQs for help.

Apply on join.disneycareers.com About employer

More about this job

Skills

ML
Product comprehension
Change management
Process improvement
Software development
Prioritization
Communication skills
GitHub
UX design

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Work requirements

Jobs in the United States