Engineering Manager

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Buoy Software

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

⚡ Productivity

Healthcare Insurance • Productivity

Buoy Software is a company focused on transforming the blood donation experience with real-time connected intelligence. They offer a suite of software designed to help blood product collection companies enhance donor support, increase product collection, and optimize operational efficiency. Buoy Software aims to address the growing need for blood products by providing organizations with intuitive, data-driven solutions to close the gap between supply and demand.

📋 Description

• As an Engineering Manager at Buoy Software, you lead a fully-distributed team of 6-8 engineers building high-quality software that powers life-saving operations in the blood collection industry. Partnering with product managers who bring project requirements to the team, you own the delivery of that software from requirement through to how it performs in Production. • You view your team as your primary product. You have the technical credibility to help engineers make sound decisions, but your time is spent safeguarding the team's well-being, recruiting strong talent, and setting the team up to deliver. You partner day-to-day with product managers and your team's tech leads, align with engineering leadership (your VP of Engineering and peer EMs) on strategy and priorities, and connect your team to the broader business context and company goals, all while fostering collaboration, ownership, and continuous improvement. • Above all, you are a problem solver who takes action rather than waiting for direction.

🎯 Requirements

• 4+ years in software engineering, including 2+ years in a leadership or mentoring role. • Proven track record of managing engineering teams and delivering impactful, high-quality products. • Deep understanding of software development practices, especially web application development. Experience with Ruby on Rails, AWS, and modern CI/CD pipelines is a plus. • Strong grounding in system design, architecture, and engineering best practices, with credibility in code reviews and technical mentorship. • Experience with Agile methodologies and project management tools. • Hands-on fluency with AI development tools (for example Cursor, GitHub Copilot, or Claude Code), with the judgment to know when to trust AI output and when to override it. You've reviewed enough AI-generated code to recognize how it fails. • A passion for developing people, grounded in empathy and clear communication. • Strong conflict resolution and problem-solving abilities. • Ability to balance team needs with business objectives.

🏖️ Benefits

• No explicit benefits mentioned