Engineering Manager

What We Do:

Florence software advances cures by helping the world’s most important research sites do their best work. Our solutions are now used by over 65,000 research teams in 90 countries around the world—we’re the most widely deployed site workflow tool in the industry. By the end of the decade, we’ll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row. 

At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow. 

What You’ll Bring to The Team: 

We are looking for an Engineering Manager to manage a group of teams and be responsible for their growth, performance, and productivity.

You will: 

• Conduct 1-on-1s, performance reviews, and career development conversations
• Ensure team alignment in the release planning and follow through the release cycle
• Governing delivery teams to align with the company vision
• Foster team collaboration and resolve interpersonal conflicts
• Participate in hiring and onboarding
• Maintain sufficient technical knowledge of the Node.js / Angular / MongoDB / PostgreSQL stack to guide technical discussions and unblock the team
• Run Agile delivery, hiring, performance management, and career development for the team
• Proactively communicating with internal and external stakeholders on the current progress, and blockers

An Ideal Candidate is/has: 

• 8+ years of experience, including leading teams (indicative)
• Deep, hands-on expertise in people management, hiring, and mentoring
• Strong roadmap and prioritization skills, with experience in stakeholder management
• Advanced Agile/Scrum delivery experience
• Working knowledge of the engineering stack the team owns, with strong code/architecture review and technical judgement
• Advanced AI leadership and fluency: champions AI-assisted development across the team (Claude Code / Cursor), understands LLM capabilities, limits, and responsible-use / governance, and drives adoption of AI in delivery and quality practices
• Having advanced knowledge in engineering & release best practices
• Advanced secure coding awareness (OWASP / OAuth / JWT)
• Strong communication, ownership, and accountability skills

Bonus points if you have: