Engineering Manager

Client: EdTech

Title: Engineering Manager – Full Stack

Duration: 6 Months (Contract to hire)

Location: 100% Remote

About the Team 

·        College Board offers a dynamic suite of tools and programs designed to streamline and expedite the Higher Education recruitment and admission process.

·        The accommodations management team at the CB enables the intake of student accommodations and facilitates the review process and generation of decision letters.

·        We are a team of engineers focused on building scalable, reliable, and secure systems using AWS cloud services and modern technologies.

·        Our work directly impacts students by ensuring timely and accurate accommodation decisions..

About the Opportunity  

·        We are seeking an Engineering Manager who combines strong technical depth with hands-on development and people leadership.

·        You will lead a cross-functional engineering team responsible for building and evolving critical platform capabilities within the Accommodations Management ecosystem.

·        This role is ideal for a leader who remains close to the code—contributing to design and development using TypeScript/JavaScript, React, and AWS-native services—while driving delivery, engineering quality, and team growth.

·        You will partner with Product, Architecture, Security, and other enterprise teams to deliver scalable, secure, and maintainable solutions that align with broader platform strategy.

In this role, you will:

Lead and grow a high-performing engineering team (30%)

·        Manage and mentor a team of 5–8 engineers, fostering a culture of ownership, accountability, and continuous improvement

·        Provide regular coaching, feedback, and career development support

·        Drive team health, engagement, and performance management processes 

Drive hands-on technical leadership and delivery (50%) 

·        Contribute directly to system design and hands-on development using TypeScript/JavaScript, React, and AWS services

·        Lead end-to-end delivery of platform capabilities—from design through deployment and production support

·        Ensure systems are scalable, secure, resilient, and observable

·        Establish and enforce modern engineering practices, including CI/CD, automated testing, and code quality standards

·        Partner with architects and enterprise capability teams (Architecture, Security, Compliance) to align on technical direction

·        Support adoption of emerging technologies, including AI/ML-enabled capabilities, where appropriate

Enable cross-team alignment and stakeholder engagement (20%) 

·        Partner with Product Owners to translate business needs into clear technical plans and execution strategies

·        Manage dependencies across teams and systems within the broader platform ecosystem

·        Communicate progress, risks, and tradeoffs to engineering and business stakeholders

·        Contribute to roadmap planning and prioritization decisions

Required:

·        6–8+ years of software engineering experience, with 2+ years managing engineering teams

·        Strong hands-on development experience with TypeScript/JavaScript and modern frontend frameworks (React preferred)

·        Experience building and operating cloud-native applications on AWS

·        Proven ability to contribute to system design and architecture while actively coding

·        Strong understanding of distributed systems, APIs, and event-driven architectures

·        Experience implementing modern engineering practices (CI/CD, automated testing, observability, security)

·        Demonstrated ability to lead teams through complex, cross-functional delivery initiatives

·        A thoughtful and proactive leadership style that supports continuous improvement and team engagement.

·        Strong communication skills with the ability to work across technical and non-technical stakeholders

Preferred:

·        Experience with workflow-driven or compliance-sensitive systems (e.g., case management, decisioning platforms)

·        Exposure to AI/ML or data-driven product capabilities

·        Experience working within platform-based architectures and shared services ecosystems

·        Familiarity with security and regulatory considerations for handling sensitive user data