Full-Time

Staff Software Engineer

Backend, Infrastructure

Otter.ai

Otter.ai

201-500 employees

Real-time AI transcription and meeting summaries

Compensation Overview

$210k - $275k/yr

Mountain View, CA, USA

Hybrid

Category
Software Engineering (1)
Required Skills
Python
MySQL
Machine Learning
Apache Kafka
Java
AWS
Go
Elasticsearch
Redis
Nginx
C/C++
Cassandra
Django
Requirements
  • Has 10+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
  • Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
  • Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
  • Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.
  • Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.
  • Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.
  • Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
  • Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.
  • Brings substantial production server experience or equivalent backend expertise to the table.
  • Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail.
Responsibilities
  • Lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives.
  • Collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions.
  • Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.
  • Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows.
  • Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics.
  • Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.
  • Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure.
Desired Qualifications
  • Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.
  • Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.

Otter.ai offers real-time AI transcription and meeting automation. Its core product Otter transcribes live audio, identifies speakers, and creates summaries; OtterPilot adds recording, slide capture, action-item extraction, and AI-driven summaries. It integrates with Zoom, Teams, and Google Meet and uses subscription pricing for individuals, teams, and enterprises. The goal is to help people capture, organize, and act on spoken information to save time and boost productivity in meetings and lectures.

Company Size

201-500

Company Stage

N/A

Total Funding

$73M

Headquarters

Los Altos, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Conversational Knowledge Engine targets $100B market with AI Chat Connectors for Gmail, Salesforce, and Notion.
  • Egnyte integration launched April 2, 2026, exports transcripts to secure enterprise folders automatically.
  • Kenny Scannell as CRO brings Zoom and Rocketlane experience to scale enterprise revenue.

What critics are saying

  • Brewer v. Otter.ai (5:25-cv-07712) imposes ECPA and CIPA penalties for unconsented meeting recordings by September 2026.
  • Consolidated In re Otter.ai Privacy Litigation awards BIPA $1,000-$5,000 per voiceprint violation to millions.
  • Ohio State bans Otter.ai, forcing education users to Teams and eroding 35 million user base within 6 months.

What makes Otter.ai unique

  • Otter.ai's Conversational Knowledge Engine maps meetings into longitudinal knowledge graphs for enterprise actions.
  • OtterPilot automates real-time transcription, speaker ID, slide capture, and action item extraction in Zoom and Teams.
  • Otter for Desktop captures conversations across any application, beyond video meetings.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Competitive salary

Comprehensive stock and equity package

Hybrid Work Options

Company Gatherings

Comprehensive health care package (medical, dental, vision, life, disability)

PTO

401(k) retirement savings program

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

4%
Otter.ai, Inc.
Apr 2nd, 2026
Otter + Egnyte integration: automatically save meeting data where your team works.

Otter + Egnyte integration: automatically save meeting data where your team works. April 2, 2026 Meetings are where decisions get made. But too often, the context from those conversations gets lost. Notes live in personal folders, transcripts go unread, and critical details get buried or forgotten entirely. The result? Time wasted retracing steps, miscommunication across handoffs, and knowledge that walks out the door. The Otter + Egnyte integration fixes that. Watch it in action. What the integration does. Otter automatically creates a new text file in your Egnyte account for select meetings with the full meeting export, including the transcript, summary, insights, and a link back to the original Otter recording. Every meeting becomes structured content stored alongside your team's most important files in a governed, centralized knowledge system they're already using. How it works. Setting up the integration is simple. From the Otter desktop app, navigate to Integrations and select Egnyte. Once connected, you have flexible control over how your meeting content gets exported. Export behavior can be configured to run in two ways: * Automatically after every meeting ends * On demand, when a user shares a meeting to a designated Otter export channel This means your team can decide what gets saved and when, keeping your Egnyte workspace organized without unnecessary clutter. What gets saved to Egnyte. When a meeting is exported, Otter securely sends the content to a user-created Otter Exports folder in Egnyte. There, each meeting gets its own subfolder with a text file containing: * The meeting title * Full transcript * Automated summary * AI-generated insights and action items * A direct link back to the original meeting in Otter Everything your team needs to revisit a conversation without relistening to a single minute of the recording. Built for enterprise governance and security. Meeting data belongs inside your organization's trusted, permissioned environment. By routing meeting content through Egnyte, teams benefit from stronger governance, compliance controls, and security standards that Egnyte is built to provide. Your conversations stay inside the walls, secure and exactly where they should be. Why it matters. The cost of lost meeting context is real. Projects stall, decisions get punted, and new team members struggle to get up to speed. With the Otter + Egnyte integration, that context doesn't disappear, it becomes something your team can actually use. Here's what that looks like: * Revisit what was agreed on without scheduling a follow-up * Pull exact quotes to align on decisions * Confirm next steps from past meetings in seconds * Onboard new members by giving them access to a searchable history of relevant conversations Get started. The Otter + Egnyte integration is available for enterprise teams today, so your meetings don't just live in Otter, they live where your team actually works.

Business Wire
Mar 13th, 2026
Otter.ai names Kenny Scannell as CRO to accelerate enterprise AI adoption

Otter.ai has appointed Kenny Scannell as Chief Revenue Officer to lead its global go-to-market strategy across sales, partnerships, demand generation and customer success. Scannell brings over 20 years of experience scaling revenue organisations at high-growth SaaS companies. Most recently, Scannell served as SVP of Global Sales at Rocketlane, tripling year-over-year growth. He previously held roles at Zoom as GM overseeing Marketing Solutions product lines, and senior positions at Klaviyo, ON24 and Citrix. Otter.ai, which has transcribed over 1 billion meetings for 35 million users, is positioning itself as an AI-powered conversation intelligence platform that transforms spoken conversations into searchable knowledge and actionable insights. The company is expanding beyond meeting transcription to capture institutional knowledge across enterprises.

Bloomberg Law
Aug 26th, 2025
Otter.ai Handed BIPA Class Suit Over Voice Print Collection (1)

Otter.ai Inc. is facing a new class action suit alleging its transcription software violates the Illinois Biometric Information Privacy Act.

Tech Funding News
Jun 13th, 2025
Fireflies Ignites A $1B Valuation With Real-Time Ai Meeting Assistant

Fireflies.ai, the AI meeting assistant used in 75% of Fortune 500 companies, has reached a $1B valuation following its first tender offer in a move that signals a new era for workplace productivity tools. The announcement coincides with the launch of its latest innovation, Talk to Fireflies, a voice-activated AI meeting assistant with real-time web search capabilities powered by Perplexity.For remote teams juggling constant meetings and tight decision cycles, instant access to reliable information can be a game-changer. Fireflies is betting on this unmet need. Rather than toggling between meeting apps and web browsers or postponing decisions due to missing data, users can now speak directly to Fireflies during meetings and get sourced answers on the spot-freeing up time, reducing friction, and boosting informed collaboration.Voice-led AI meetings meet the power of searchWith its new Talk to Fireflies feature, the San Francisco-based company enables participants to interact using voice or chat in over 60 languages across Zoom, Google Meet, and Microsoft Teams. By integrating Perplexity’s web search technology, Fireflies gives users real-time access to online information, without ever leaving the meeting environment.“Talk to Fireflies lets people search the web in real-time and get answers about the current meeting. For example, a late joiner can ask, ‘Hey Fireflies, what key decisions have been made so far?’ or a team can find information by asking, ‘Hey Fireflies, what are the market growth projections for AI meeting agents?’” said Fireflies co-founder and CEO Krish Ramineni

VentureBeat
Jun 4th, 2025
Openai Hits 3M Business Users And Launches Workplace Tools To Take On Microsoft

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. OpenAI announced Wednesday that its business user base has surged 50% since February, reaching 3 million paying enterprise customers as the artificial intelligence company unveiled an expansive suite of new workplace tools designed to compete directly with Microsoft’s enterprise AI offerings.The milestone, revealed alongside the launch of several new business-focused features, underscores OpenAI’s aggressive push into corporate markets where reliable, secure AI tools can command premium prices. The company introduced new “connectors” that integrate ChatGPT with popular business applications, a meeting transcription feature called Record Mode, and enhanced versions of its Deep Research and Codex coding tools.“ChatGPT is helping transform businesses by helping employees work with more productivity, efficiency, and more strategically,” an OpenAI spokesperson told VentureBeat. “Over the last few months, we’ve continued evolving ChatGPT into an increasingly impactful platform for work with business products like connectors, record mode with ChatGPT, Codex, image generation, deep research, and more.”The rapid enterprise adoption comes as OpenAI faces intensifying competition from tech giants like Microsoft and Google, which offer deep workplace integrations through existing enterprise relationships. Yet the company appears to be winning customers by positioning itself as the premier destination for cutting-edge AI capabilities.“Customers often choose ChatGPT for direct access to SOTA (state-of-the-art) models and tools, combined with enterprise-grade security and commitments on never training on business data,” the spokesperson said, emphasizing OpenAI’s competitive advantage as an “AI-native” company focused solely on advancing artificial intelligence rather than integrating it into legacy systems.OpenAI’s new workplace connectors challenge Microsoft and Google’s enterprise AI dominanceThe newly announced connectors represent OpenAI’s most direct challenge yet to Microsoft’s workplace AI strategy