Web Engineering Operations Manager

Role Overview

Core Responsibilities

• Define roadmaps, clarify priorities, manage dependencies, improve visibility, and ensure follow-through.
• Create consistent reporting and operating rhythms for engineering and AI-enabled work.
• Partner with development, AI technical and product leads, QA, production or DevOps, product management, and other stakeholders.
• Simplify ambiguity, clarify decisions, summarize progress, and create executive-ready updates.
• Establish status reporting, meeting cadences, decision logs, and stakeholder communication practices.
• Help move AI prototypes and proof-of-concepts into scalable operational processes.

Required Qualifications

• At least five years of experience in engineering operations, technical program management, web or software delivery, or related technical coordination.
• Experience working with web engineering teams across development, QA, production operations, and product stakeholders.
• Strong understanding of modern web development workflows and common delivery practices.
• Familiarity with Jira, Confluence, Microsoft 365, and related collaboration or project tracking tools.
• Working knowledge of Next.js, Drupal, CMS workflows, QA processes, release management, and production support.
• Ability to manage complex cross-functional initiatives with multiple stakeholders and dependencies.
• Excellent communication and reporting skills, including executive-ready updates.
• Experience establishing reliable reporting, meeting cadences, decision logs, and stakeholder communication practices.
• Ability to partner with technical leads, managers, contractors, product owners, and business stakeholders.
• Strong organizational skills with attention to detail, follow-through, and accountability.
• Bachelor’s degree or equivalent experience.

Preferred Qualifications

• Experience supporting AI, automation, developer productivity, or AI-enabled workflow initiatives.
• Experience moving prototypes or proof-of-concepts into scalable operational processes.
• Familiarity with engineering productivity tools, AI-assisted development, workflow automation, or internal tooling.
• Experience in B2B, semiconductor, enterprise technology, web platforms, or digital marketing environments.
• Experience working with globally distributed teams.
• Familiarity with Agile, Scrum, Kanban, or hybrid delivery models.
• Experience creating prioritization frameworks, operating models, roadmap processes, or portfolio-level reporting.
• Ability to influence without direct authority and build trust across teams with different priorities.

Work Arrangement

• Source metadata identifies the workplace type as hybrid.

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