Software Engineer

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Logo of Fellow - AI Meeting Assistant

Fellow - AI Meeting Assistant

51 - 200 employees

Founded 2017

đŸ€– 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

‱ Build and evolve services that capture, ingest, and process meeting audio, video, metadata, and real-time events ‱ Design reliable systems across changing network conditions, platform behaviour, permissions, media formats, and third-party APIs ‱ Develop tooling and observability to detect, diagnose, reproduce, and resolve complex recording failures ‱ Own features and systems through technical design, implementation, rollout, monitoring, and post-release iteration ‱ Investigate production issues spanning services, infrastructure, media, and integrations ‱ Collaborate with Product, SRE, Support, and engineering teams to turn real-world situations into platform improvements ‱ Use AI coding agents and help create tools and practices that improve software development ‱ Learn unfamiliar systems quickly and investigate difficult problems through to durable solutions

🎯 Requirements

‱ Experience building and operating production-critical systems where reliability, latency, throughput, or consistency materially affect user experience ‱ Strong experience with Python or another modern backend language ‱ Ability to become productive quickly in an unfamiliar codebase ‱ Strong judgment balancing delivery speed, system reliability, technical debt, and long-term platform investment ‱ Track record of owning software through rollout, observability, production support, and real-world iteration ‱ Deep practical use of AI coding agents such as Claude Code, Cursor, Codex, or similar tools ‱ Track record of developing agentic workflows, tools, or practices that materially improve software development ‱ Clear communication and effective collaboration across Engineering, Product, SRE, Support, and other functions ‱ Willingness to share knowledge and help teammates solve difficult problems ‱ Nice to have: experience with real-time media, audio/video processing, WebRTC, streaming systems, or latency-sensitive infrastructure ‱ Nice to have: distributed job processing, event-driven systems, queues, or high-volume asynchronous workloads ‱ Nice to have: FFmpeg, codecs, containers, transcoding, or synchronization ‱ Nice to have: observability, incident response, or operational practices for complex production systems ‱ Nice to have: Django, Python, GraphQL, Kubernetes, or cloud infrastructure ‱ Nice to have: experience in a high-growth product company or startup environment ‱ Candidates must be located in Canada

đŸ–ïž Benefits

‱ Remote-first work arrangement ‱ Optional office space available in Ottawa, Montreal, and Toronto ‱ Flexible collaboration supported by core hours from 10 a.m. to 4 p.m. Eastern Time ‱ Equal employment opportunities ‱ Accommodation during any stage of the recruitment process

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