Software Engineering Team Manager

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Logo of Pearson VUE

Pearson VUE

1001 - 5000 employees

Founded 1994

📚 Education

🛍️ eCommerce

☁️ SaaS

Education • eCommerce • SaaS

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Set a high bar for technical talent, customer instincts, and AI-first engineering judgment • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member • Staff and oversee engagements with lines of business across your team's portfolio • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps • Work with line-of-business leaders to qualify engagements, scope work, and set expectations • Review technical architectures and code produced by your teams • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base • Set and uphold a high standard for AI-augmented engineering practice • Define team OKRs that tie to line-of-business outcomes and platform adoption goals • Partner with Product and Architecture to translate field insights into platform improvements • Represent the platform with senior stakeholders across lines of business

🎯 Requirements

• 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role • 4+ years of people management experience • Experience building teams or practices from 0 to 1 • Experience working directly with enterprise stakeholders • Real production experience building on large language models and generative AI • A genuine point of view on AI-first engineering • Enough depth in distributed backend systems and cloud-native architectures • Strong operational instincts around observability, on-call, incident response • Executive presence and the ability to move between strategic conversations and hands-on debugging • Strong written and verbal communication skills • Genuine excitement about building something new

🏖️ Benefits

• Eligible to participate in an annual incentive program • Information on benefits offered is here

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