Software Engineering Team Manager

Job Description:

• 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:

• 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:

• Remote work arrangement
• Full-time employment