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Manager, Web Platforms & Digital Experience

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Insight Global
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Architect, Front End Developer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced Manager, Web Platforms & Digital Experience to lead the development, modernization, integration, and operation of enterprise websites, web applications, and digital platforms. This is a hands‑on technical management role that combines web engineering, platform architecture, AI-enabled development, technical delivery, and people leadership. The position provides technical direction across modern web development, content management systems (CMS), cloud hosting, APIs and integrations, security, accessibility, performance, analytics, Dev Sec Ops , and production operations.

A key focus of this role is the practical application of Artificial Intelligence (AI) to web development and digital experiences. The manager will lead the evaluation, prototyping, integration, and production implementation of generative AI, Large Language Models (LLMs), AI services, AI-assisted development, intelligent search, content automation, personalization, analytics, and related technologies. The successful candidate will have hands‑on experience using AI-assisted development tools and techniques to design, build, test, modernize, and maintain websites and web applications, as well as experience integrating AI‑powered capabilities into digital platforms.

Key Responsibilities Web Platforms & Engineering Leadership
  • Lead the planning, architecture, development, implementation, and lifecycle management of enterprise websites, web applications, and digital platforms.
  • Provide hands‑on technical leadership across modern front‑end and back‑end technologies, CMS platforms, APIs, databases, integrations, cloud services, caching/CDN, and related technologies.
  • Establish and maintain software engineering, architecture, code quality, documentation, testing, security, and Dev Sec Ops  standards.
  • Provide technical direction through architecture and solution reviews, code reviews, troubleshooting, testing, deployment, and production support.
  • Ensure web platforms are secure, scalable, accessible, reliable, maintainable, and performant.
AI-Enabled Web Development & Innovation
  • Lead the use of AI and AI-assisted development technologies to design, build, modernize, test, and maintain websites and web applications.
  • Apply AI throughout the web development lifecycle, including prototyping, development, testing, debugging, documentation, optimization, and modernization.
  • Evaluate, prototype, integrate, and implement AI‑enabled web solutions using generative AI, LLMs, AI APIs/services, intelligent search, content automation, personalization, analytics, and workflow automation.
  • Integrate AI capabilities with front‑end and back‑end applications, APIs, CMS platforms, search technologies, cloud services, and enterprise data sources.
  • Identify opportunities where AI can improve digital experiences, developer productivity, content discovery, operational efficiency, and application capabilities.
  • Evaluate emerging AI models, platforms, APIs, and development tools for practical application within enterprise web environments.
  • Establish appropriate engineering practices for AI‑assisted development and AI‑generated solutions, including human review, testing, security, privacy, accessibility, reliability, monitoring, and responsible use.
Engineering Delivery & Platform Modernization
  • Lead technical delivery of new websites and web applications, site redesigns, CMS upgrades and migrations, platform modernization, and cloud/hosting improvements.
  • Translate business and product requirements into technical roadmaps, architectures, engineering plans, estimates, and delivery milestones.
  • Improve scalability, maintainability, developer experience, application performance, and release velocity.
  • Identify and address technical debt and opportunities…
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