Sr Product Software Engineer - Full Stack

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

Pixie and Pulse are the analytics platform that people across Disney+, Hulu, and ESPN use to understand the business, from an analyst checking a metric to executives deciding what to do next. You'll be a senior engineer building it: the services and integration layer that turn our BI and data-warehouse stack into trustworthy metrics, the APIs on top of them, and the React front end where that work becomes dashboards leaders act on every day.

The platform is purpose-built so data-rich dashboards load fast, stay correct, and can be assembled and changed through configuration rather than one-off code. Most of the job is core product and platform engineering: new metric and dashboard surfaces, the config and schema system behind them, the data integrations that feed them, performance under dashboard-shaped traffic, and the correctness guarantees that let an executive trust a number. Part of the job is AI. More people now start from a natural-language question and let agents help assemble, explain, and explore the data, with people in the loop on what ships, and you'll help build those surfaces alongside everything else.

You'll own significant features and components across that stack, taking them from ambiguous problem to production and ongoing operation. You'll make the design decisions inside the areas you own and contribute to the broader architecture alongside the initiative's lead and principal engineers, working at the seam between product, design, and data and analytics partners.

Responsibilities and Duties of the Role:

Build across the stack

Build the full path: back-end services in Node.js, Python, or Java, the APIs and data-integration layer over our BI and warehouse stack, and the React front end on top of them.

Own features end to end: partner with product, design, and data teams to turn an ambiguous problem into a clear design, then build, test, ship, and operate it.

Evolve a configuration and schema-driven system that lets new dashboards and metrics ship through config and CI validation rather than bespoke code, treating product surfaces as data.

Metrics, data integration, and trust

Build and extend the metric and dashboard surfaces the business runs on, from the query and semantic layer through to what renders on screen.

Make correctness a property of the system, not a manual check: consistent metric definitions, validation in CI, and the observability to catch a number that has quietly gone wrong before a stakeholder does.

Design and technical judgment

Make and document the design decisions in your area (service boundaries, API contracts, data models, caching, state, rendering), and bring the ones with wider blast radius to the team's lead and principal engineers for review.

Drive complex problems to root cause wherever they live, from a slow warehouse query to a client-side rendering bottleneck.

Performance and scale

Engineer for dashboard-shaped traffic on both sides of the wire: query and service latency, caching layers, request batching, and progressive and streaming rendering, so complex, high-cardinality views load fast and scale to a large concurrent audience.

AI-assisted analytics

Contribute to the AI surfaces of the platform: natural-language and AI-assisted dashboard authoring, agent-accessible endpoints, and AI-generated insights with human-in-the-loop review.

Help build the foundations these depend on, which are useful either way: a semantic, machine-readable representation of metrics and surfaces, plus the evaluation and guardrails that keep generated output trustworthy.

Quality and craft

Hold a high bar through testing (including test-driven development where it fits), code review, observability, and accessible, resilient UI.

See work through from specification to production and ongoing operation, including the operational reality of what you ship.

Collaboration and mentorship

Mentor early-career and mid-level engineers through code review, pairing, and knowledge sharing.

Help advance the team's practices and standards, including agentic engineering workflows that raise how fast and how well the team ships.

Required Education, Experience/Skills/Training:

Basic Qualifications

• 5+ years building scalable, performant full-stack web applications serving large user and request volumes.

• Strong command of TypeScript and JavaScript across both React front ends and Node.js services, plus working proficiency in at least one other back-end language such as Python or Java.

• Experience designing and implementing APIs and server-side data access, in collaboration with service, back-end, and data teams.

• Comfort with SQL and relational or warehouse data models.

• Experience building data-heavy product surfaces, such as dashboards, reporting, or internal analytics tools, where both correctness and latency matter.

• Solid performance-engineering fundamentals across the stack (query and API latency, caching, data fetching, rendering) for data-heavy or high-traffic systems.

• Track record of owning features or components beginning to end and driving complex problems to root cause and resolution.

• A regular practitioner of agentic software development: AI coding agents and agent-driven workflows are a core part of how you build.

Preferred Qualifications

• Hands-on experience building with LLMs or agents in a production product, for example natural-language querying, agent-driven insight generation, or prompt-to-dashboard.

• Production experience with Python and/or Java services, data tooling, or integrations at meaningful scale.

• Shipped production applications with high availability and throughput on a cloud platform (e.g., AWS), including the operational side.

• Familiarity with BI and data-warehouse stacks (e.g., Looker/LookML, Snowflake, Databricks) and partnering with data and analytics teams.

• Experience with data visualization at scale: charting, large and high-cardinality datasets, interactive and filterable dashboards.

• Experience with configuration-driven or schema-driven systems (product defined as data or "as code").

• Working understanding of web accessibility (WCAG) fundamentals.

• Broad knowledge of web and back-end platform standards and emerging technologies.

Required Education  

• Bachelor's degree in Computer Science, Information Systems, Software or Electrical Engineering, a comparable field, and/or equivalent work experience.

PAY TRANSPARENCY

The hiring range for this position in New York, New York and Seattle, Washington is $150,900.00 to $202,400.00 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 Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

To learn more about Disney's guidelines on the use of AI for candidates, click here.

Disney Entertainment & Sports LLC 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.

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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.

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