Software Engineering Team Manager

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Oversee the planning, prioritization, delivery commitments, and operational rhythm of the team.

• Allocate resources, manage escalations, resolve obstacles, and implement process enhancements.

• Recruit and uphold the standards for AI-fluent engineering talent.

• Implement agentic capability guardrails, human-in-the-loop fallback, escalation procedures, and disclosures across product interfaces.

• Require evaluation sets with defined pass criteria and integrate release-gate processes before model-driven behavior is introduced to students.

• Monitor reliability, hallucination, model performance, and drift against established thresholds.

• Enforce a specification-first approach, including contract-level tests, negative tests, automated merge gates, and evaluations backed by models.

• Foster contributions to governed shared libraries, MCP servers, evaluation suites, and golden datasets.

• Mentor team capabilities, conduct performance and development discussions, and cultivate succession planning.

• Lead the engineering delivery for Data Foundations, encompassing roadmap execution, platform readiness, migration sequencing, cutover planning, dependency management, and coordination across source systems and downstream consumers.

• Establish expectations for data contracts, quality gates, data lineage, observability, access controls, operational readiness, and support ownership.

• Collaborate with Product, Data Engineering, Data Analytics, Solution Architecture, Security, Compliance, DevOps/SRE, and vendor teams.

• Modernize legacy platforms such as .NET, ASP.NET WebForms/MVC, AngularJS, jQuery, and SQL Server to contemporary technologies like React, TypeScript, modern .NET REST services, containers, AWS, and event-driven APIs while ensuring platform continuity.

⛳️ Requirements

• A minimum of 4 years of experience managing engineers who deliver to production, including hiring, performance management, and development.

• A solid engineering background that enables the review of technical decisions and builds credibility with AI-fluent engineers.

• Experience in delivering model-backed or agentic capabilities to end users, including pre-release evaluation and post-release monitoring.

• Proven ability to uphold quality gates under delivery pressures.

• Experience managing both legacy and target platforms concurrently.

• Proficient in managing a distributed team across various time zones with strong written communication skills.

• Experience in regulated or privacy-sensitive environments; familiarity with K-12 and FERPA is a plus.

• Relevant degree or equivalent practical experience required.

• Comprehensive knowledge of Artificial Intelligence, information security, problem-solving, technical skills, API management, cloud computing, data security, DevOps, software design, AI agents, AutoAI, LLMs, generative AI, AI-generated content quality assessment, performance management, code review, AI-enabled capability delivery, AI tooling adoption measurement, reusable engineering tools, evaluation suites, data foundations, and integration and migration oversight, reliability, observability, and testing.

🏝️ Benefits

• Flexible remote work arrangement.

• Full-time employment opportunity.