Lead Product Software Engineer

Job Posting Title:

Lead Product Software Engineer

Req ID:

Job Description:

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disneys 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 Disneys 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 Companys 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 youd love working here:

Reach Scale & Impact : More than ever Disneys technology and products serve as a signature doorway for fans connections with the companys brands and stories. Disney. Hulu. ESPN. ABC. ABC Newsand 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

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.

About the role

Were making AI the fastest path from a business question to a trusted answer. Youll be a lead engineer on the team building 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. Increasingly they get there by asking in natural language and letting AI agents assemble explain and explore the data with people in the loop on what ships.

The platform spans a performance-tuned React front end the services behind it and an integration layer over our BI and data-warehouse stack purpose-built so that data-rich dashboards load fast stay trustworthy and can be assembled and changed through configuration rather than one-off code.

Youll lead major projects across the stack and set the technical direction for the work you own partnering with the initiatives principal engineer on overall architecture. Youll raise the bar on quality and performance and work at the seam between product design and data and analytics partners turning ambiguous questions into durable systems.

Responsibilities

AI and agentic analytics

Design and deliver agentic analytics experiences: natural-language and AI-assisted dashboard authoring agent-accessible surfaces and AI-generated insights with human-in-the-loop review. Build the foundations these depend on a semantic machine-readable representation of metrics and surfaces so agents can do what the app can plus the evaluation and guardrails that keep AI output trustworthy.

Technical leadership and architecture

Lead projects end to end: partner with product design and data teams to scope ambiguous problems and distill requirements into clear design and technical specifications. Own the high-leverage architectural decisions for the projects you lead (rendering data fetching caching state service boundaries API contracts) document them and guide other engineers in carrying them out.

Build across the stack

Build the full path: a responsive React front end the (and Python or Java) services behind it and the APIs and data-integration layer that feed 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.

Performance and scale

Engineer for dashboard-shaped traffic across client and server: optimize data fetching caching request batching and progressive and streaming rendering so complex high-cardinality views load fast and scale to a large concurrent audience. Quality and craft Write maintain standardize and enforce code quality 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.

Influence and mentorship

Mentor engineers at all levels including senior engineers through code review pairing and knowledge sharing; build trust set goals and give constructive feedback. Drive the evolution of the teams practices and standards including agentic engineering workflows that raise how fast and how well the team ships and build cross-team consensus for technical direction.

Basic Qualifications

7 years building highly scalable performant full-stack web applications serving millions of users and requests.

A regular practitioner of agentic software development: AI coding agents and agent-driven workflows are a core part of how you build and you can raise a teams effectiveness with them.

A track record of delivering agentic analytics solutions in production: analytics or data products built on LLMs or agents (for example natural-language querying agent-driven insight generation or prompt-to-dashboard).

Expert-level command of React TypeScript and JavaScript with strong ; comfortable working across the full stack from UI through back-end services and APIs.

Proven track record architecting sophisticated technical changes and driving cross-team consensus on the approach.

Experience defining and implementing API specifications in collaboration with service and back-end teams.

Strong performance-engineering fundamentals (rendering data fetching caching) for data-heavy or high-traffic systems.

Track record of owning projects beginning to end and driving complex problems to root cause and resolution.

Demonstrated ability to mentor and grow engineers including senior engineers by building trust and giving clear feedback.

Bachelors degree in Computer Science Information Systems Software or Electrical Engineering a comparable field and/or equivalent work experience.

Preferred Qualifications

Working proficiency in Python and/or Java for back-end services data tooling or integrations.

Shipped production React/ applications with high availability and throughput on a cloud platform (e.g. AWS).

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

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

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

Expert understanding of web accessibility (WCAG) fundamentals.

Broad knowledge of web standards and emerging technologies

The hiring range for this position in New York NY is $165600.00 - $222000.00 per year and in San Francisco CA is $173100.00 - $232100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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:

Product Engineering

Job Posting Primary Business:

PE - Growth Commerce & Identity

Primary Job Posting Category:

Product Software Engineering

Employment Type:

Full time

Primary City State Region Postal Code:

San Francisco CA USA

Alternate City State Region Postal Code:

USA - NY - 7 Hudson Square

Date Posted:

Required Experience:

IC