Software Engineering, Team Manager
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Job Description
Engineering Team Manager leading Pearson teams that support assessment services across testing, delivery and online proctoring. Strengthening people, delivery, quality and responsible AI practices.
Responsibilities:
- Lead engineering teams supporting critical assessment services across Vue Testing Services, OnVue Exam Developer and Test Delivery
- Hire, onboard, coach, develop and retain engineers and technical professionals
- Set clear goals, feedback rhythms, development plans and team operating practices
- Translate product and department priorities into achievable team plans, capacity choices and ownership
- Track sprint and release progress, dependencies, blockers, defects, quality and immediate delivery risks
- Partner with Product, Architecture, Quality Engineering, DevOps, Security, Operations and business stakeholders
- Maintain standards for design, testing, automation, security, observability, documentation and operational readiness
- Use engineering, delivery, quality and team signals to identify patterns and drive improvement
- Guide responsible adoption of AI-assisted development, testing, review and documentation while protecting quality and security
- Lead with minimal hands-on coding expected
Requirements:
- Hands-on technical foundation in software engineering, quality engineering, architecture, technology solutions or a closely related discipline
- Demonstrated experience leading, coaching or managing technical professionals and building effective teams
- Experience delivering software products, platforms or technology services in Agile or similarly iterative environments
- Evidence of leading meaningful change, making sound decisions and improving delivery or team effectiveness
- Working knowledge of modern software delivery, cloud, DevOps, CI/CD, automation, security, reliability, observability and operational readiness
- Experience making people, capacity, priority and delivery decisions in a cross-functional environment
- Experience working across distributed teams, functions or time zones
- Practical experience using or introducing AI-assisted engineering tools, with sound judgement about quality and risk
- Strong communication, collaboration, problem-solving and stakeholder-influence skills
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience
Benefits:
- Eligible to participate in an annual incentive program
- Benefits offered by Pearson (specific benefits linked in the posting)
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