About the role

Engineering Manager at Fellow leading software engineering for AI-driven meeting solutions. Overseeing teams creating reliable recording platforms while maintaining technical involvement.

Responsibilities

Lead and grow the existing team responsible for Fellow’s desktop application, botless recording experience, mobile recording, and real-time audio and video infrastructure.
Coach and develop engineers working across these platforms, grow the team with the expertise it needs next, and ensure knowledge and ownership are shared broadly.
Make reliability a competitive advantage by improving observability, tooling, incident response, and the systems and practices required to operate the platform at scale.
Stay close to people using Fellow and to our support teams, using real-world feedback to guide the team’s priorities.
Stay technically hands-on by writing production code where it creates leverage, pairing on difficult bugs and prototypes, and remaining close to the architecture and risks within the systems your team owns.
Set the standard for how the team uses AI coding tools, modelling effective workflows and continually exploring ways to build faster without compromising production quality.
Partner with Product, Design, SRE, and other engineering leaders to turn ambiguous opportunities into clear priorities and measurable outcomes.
Balance ambitious user-facing work with the platform investments that make future development faster, safer, and more reliable.
Help shape what comes next, including deeper operating-system integrations, new recording environments, native mobile capabilities, and on-device intelligence.

7+ years of software engineering experience.
2+ years of experience managing software engineers.
A genuine desire to remain technically involved and continue writing code.
Experience leading teams responsible for production-critical systems.
A track record of making systems more reliable, observable, and easier to operate.
Strong judgment when balancing feature delivery, user impact, technical debt, and platform investment.
Comfort turning ambiguity into momentum across multiple teams or technical domains.
A track record of pushing beyond off-the-shelf AI coding workflows by designing, testing, and rolling out new agentic tools, processes, and development practices that materially improve how teams build software.
Experience with systems where latency, uptime, consistency, or real-time behaviour materially affect the user experience.
Experience hiring and developing strong engineers, including people with specialised technical expertise.
Strong communication skills with engineers, product partners, peer leaders, users, and executives.