Software Engineering Team Manager

Pearson VUE

. Lead planning, prioritization, delivery commitments, and the team's operating rhythm .

Posted 10/12/2026full-timeRemote • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing engineering teams, delivering AI-fluent capabilities, and ensuring quality through rigorous evaluation and monitoring processes. Proficient in modernizing legacy systems while maintaining operational readiness and compliance in regulated environments.

Highest-signal resume keywords

Team ManagementAI-Fluent EngineeringModel-Backed Capability DeliveryQuality Gate EnforcementCloud Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceAPI ManagementCloud ComputingData SecuritySoftware DesignDevOpsPerformance ManagementCode ReviewEvaluation SuitesTesting

Soft Skills

Problem SolvingStrong Written Discipline

Tools & Technologies

.NETASP.NET WebFormsMVCAngularJSJQuerySQL ServerReactTypeScriptAWSEvent-Driven APIs

Industry Keywords

K-12FERPARegulated EnvironmentsPrivacy-Sensitive Environments

Tech Stack

Tools & technologies

AngularASP.NETAWSCloudjQueryReactSQLTypeScript.NET

About the role

Key responsibilities & impact

Lead planning, prioritization, delivery commitments, and the team's operating rhythm
Allocate people, manage escalations, resolve blockers, and implement process improvements
Hire and maintain the required bar for AI-fluent engineering
Apply agentic capability guardrails, human-in-the-loop fallback, escalation, and disclosure across exposed product surfaces
Require evaluation sets with stated pass bars and release-gate integration before model-backed behavior reaches students
Monitor reliability, hallucination, model performance, and drift against stated thresholds
Enforce specification-first practices, contract-level tests, negative tests, automated merge gates, and model-backed evaluations
Drive contributions to governed shared libraries, MCP servers, evaluation suites, and golden datasets
Coach team capability, conduct performance and development conversations, and build succession
Lead Data Foundations engineering delivery, including roadmap execution, platform readiness, migration sequencing, cutover planning, dependency management, and coordination across source systems and downstream consumers
Set expectations for data contracts, quality gates, lineage, observability, access controls, operational readiness, and support ownership
Partner with Product, Data Engineering, Data Analytics, Solution Architecture, Security, Compliance, DevOps/SRE, and vendor teams
Modernize legacy .NET, ASP.NET WebForms/MVC, AngularJS, jQuery, and SQL Server platforms toward React, TypeScript, modern .NET REST services, containers, AWS, and event-driven APIs while protecting platform continuity

Requirements

What you’ll need

4+ years managing engineers who ship to production, including hiring, performance, and development
Working engineering background sufficient to review technical decisions and be credible with AI-fluent engineers
Experience delivering model-backed or agentic capabilities to real users, including pre-release evaluation and post-release monitoring
Experience holding quality gates under delivery pressure
Experience managing legacy and target platforms simultaneously
Comfortable managing a distributed team across time zones with strong written discipline
Experience in regulated or privacy-sensitive environments; K-12 and FERPA exposure is advantageous
Relevant degree or equivalent practical experience
Knowledge of Artificial Intelligence, information security, problem solving, technical acumen, API management, cloud computing, data security, DevOps, software design, AI agents, AutoAI, LLMs, generative AI, AI-generated content quality evaluation, performance management, code review, AI-enabled capability delivery, AI tooling adoption measurement, reusable engineering tooling, evaluation suites, data foundation, integration and migration oversight, reliability, observability, and testing

Benefits

Comp & perks

Remote work arrangement
Full-time employment