Principal Software Engineer - Notetaker
About The Position
The Notetaker team is building the intelligence layer for live customer conversations. Their mission is to make it effortless for front-office teams to win every meeting and call—across video and voice. The team owns the full lifecycle of a live conversation: capturing and transcribing conversations with high accuracy, streamlining meeting setup and preparation through deep calendar and workflow integrations, and turning raw dialogue into clear, actionable outcomes. By combining best-in-class transcription with adaptive summaries, follow-ups, and conversation intelligence, Notetaker lets teams focus on the human moment while the system handles everything around it. We’re seeking a Principal Software Engineer to play a pivotal role in shaping the technical future of Notetaker. This role sits at the intersection of real-time systems, distributed infrastructure, and applied AI. As a Principal Engineer, you will define how live audio/video, transcription, and GenAI-powered insights come together into a reliable, low-latency, production system. You’ll help the team move fast without breaking trust—shipping features that feel magical to users while remaining robust under real-world conditions.
Requirements
- Deep experience building distributed systems with real-time or near-real-time constraints.
- Familiarity with audio/video pipelines, streaming systems, or event-driven architectures.
- Practical experience applying GenAI to user-facing products, especially summarization, classification, or insight generation.
- Strong judgment around tradeoffs between speed, quality, cost, and correctness.
- A bias for action: you prefer working systems over perfect abstractions, and you stay hands-on through delivery.
Responsibilities
- Architect real-time conversation systems: Define patterns for ingesting, processing, and storing live audio and video data with high accuracy and low latency.
- Hands-on, high-impact delivery: Write production code, lead major initiatives, and own critical systems end-to-end.
- GenAI in the loop: Shape how transcription, summarization, and conversation intelligence models integrate into live and post-call workflows.
- Reliability and trust at scale: Drive decisions around observability, correctness, privacy, and failure modes in non-deterministic systems.
- Product and UX sensitivity: Partner with Product and Design to ensure technical decisions support clarity, usefulness, and user trust.
- Cross-functional influence: Work closely with Calendar, Calling, CRM, and AI teams to align on shared primitives and patterns.
- Org-level multiplier: Mentor senior engineers, influence architectural standards, and help the org build better real-time and AI-powered systems.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
