Engineering Manager

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Fellow - AI Meeting Assistant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $24M Series A on 2021-11

Artificial Intelligence • SaaS • Enterprise

Fellow is an AI meeting assistant and secure note-taking platform that records, transcribes, and summarizes meetings across Zoom, Google Meet, Microsoft Teams, Slack huddles, and in-person sessions. Built with a privacy-first approach, Fellow emphasizes enterprise-grade security and governance (SOC 2 Type II, HIPAA, GDPR), never trains its AI on customer data, and offers granular controls like role-based access, zero-day retention, MNPI redaction, and exam-ready audit logs for regulated industries. The product includes an AI agent (AskFellow) to surface meeting insights, generate follow-ups and documents, and automate CRM and project-tool updates; it centralizes recordings and integrates with 50+ tools (Salesforce, HubSpot, Asana, Jira, Notion, Slack, etc. ). Fellow is positioned for enterprise and regulated teams—finance, legal, healthcare—seeking secure, centralized meeting intelligence.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities