Pearson

Pearson

Software Engineering, Team Manager

United States · Full-time

Sponsorship not specified$165k-$175kDetected 7 days ago
Vue.jsCI/CDDevOpsLeadershipCommunicationCollaborationProblem SolvingMentoring

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odds of building a lasting career here

55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Pearson is hiring three Software Engineering Team Managers in United States through one recruitment campaign.
  • Product and service-platform leadership experience may be particularly useful.
  • OnVUE offers a growth and governance opportunity across online proctoring and vendor partnerships.

Responsibilities

  • Hire, onboard, coach, develop and retain engineers and technical professionals.
  • Partner with Product, Architecture, Quality Engineering, DevOps, Security, Operations and business stakeholders.
  • Maintain strong standards for design, testing, automation, security, observability, documentation and operational readiness.
  • Use engineering, delivery, quality and team signals to identify patterns and drive improvement.
  • Demonstrated experience leading, coaching or managing technical professionals and building effective teams.
  • This is an opportunity to develop engineering talent, strengthen delivery and quality practices, and help teams adopt emerging AI-assisted ways of working across technology that supports assessment experiences at scale.

Requirements

  • Experience delivering software products, platforms or technology services in Agile or similarly iterative environments.
  • 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.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Compensation

  • Compensation at Pearson is influenced by factors including skill set, experience, and location.
  • The full-time salary range for this role is $165,000 - $175,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Company info

  • What We're Looking For

This listing is sourced directly from Pearson's careers page and normalized into a canonical job model.