Lead Product Software Engineer

The Walt Disney Company • San Francisco, CA

2d • Onsite

About The Position

Disney Entertainment and ESPN Product & Technology is seeking a Lead Product Software Engineer to join their Product Engineering team. This role involves building the analytics platform used across Disney+, Hulu, and ESPN, enabling users to understand business metrics and make decisions. The platform leverages AI and natural language processing to provide insights and allows for data-rich dashboards to load quickly and remain trustworthy. The engineer will work on a full-stack development, including a React front end, Node.js services, and an integration layer over BI and data-warehouse systems. The position focuses on technical leadership, architectural decisions, and driving quality and performance.

Requirements

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

Nice To Haves

• Working proficiency in Python and/or Java for back-end services, data tooling, or integrations.
• Shipped production React/Node.js 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

Responsibilities

• 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.
• 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 the full path: a responsive React front end, the Node.js (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.
• 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.
• 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.
• 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 team's 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior