Lead Product Software Engineer

Role Description

We're making AI the fastest path from a business question to a trusted answer. You'll 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.

You'll lead major projects across the stack and set the technical direction for the work you own, partnering with the initiative's principal engineer on overall architecture. You'll 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

• 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 for a semantic, machine-readable representation of metrics and surfaces.
• 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).
• 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.
• Engineer for dashboard-shaped traffic across client and server: optimize data fetching, caching, request batching, and progressive and streaming rendering.
• Write, maintain, standardize, and enforce code quality through testing, code review, observability, and accessible, resilient UI.
• Mentor engineers at all levels, including senior engineers, through code review, pairing, and knowledge sharing.
• Drive the evolution of the team's practices and standards, including agentic engineering workflows.

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.
• A track record of delivering agentic analytics solutions in production: analytics or data products built on LLMs or agents.
• Expert-level command of React, TypeScript, and JavaScript, with strong Node.js.
• 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 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.
• Bachelor's degree in Computer Science, Information Systems, Software or Electrical Engineering, or equivalent work experience.

Preferred Qualifications

• 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).
• Experience with configuration-driven or schema-driven UI systems.
• Expert understanding of web accessibility (WCAG) fundamentals.
• Broad knowledge of web standards and emerging technologies.

Benefits

• Base pay range in NYC: $163,100 - $218,700 per year.
• Base pay range in San Francisco, CA: $170,500 - $228,600 per year.
• Bonus and/or long-term incentive units may be provided as part of the compensation package.
• Full range of medical, financial, and/or other benefits, dependent on the level and position offered.