Otter.ai
As of 30 October 2026, Otter.ai has 20 open roles (6 new in 30 days), its software engineering team is hiring most, and its postings name Python, Linux and Salesforce as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Mountain View, California, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- sales teams, education, media production
- Certifications on site
- Site languages
- EN, JA
- Career system
- Greenhouse
Otter.ai in one screen
Read from otter.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Otter.ai is an AI meeting assistant that transcribes meetings, creates searchable notes and summaries, and automates action items for sales, education, media, recruiting and SDR use cases. It offers live transcription in multiple languages, desktop and mobile recording, AI chat search across meetings, and an MCP Server for integration with AI chat tools. It targets businesses and enterprises with security and governance controls.
Named on the site: sales teams, education, media production, recruiting, enterprise organizations, education institutions, recruiting departments.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 587 scored.
What Otter.ai says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models — and mentor junior engineers along the way.• Optimize Linux systems for performance, reliability, and security• Leverage Salesforce and sales performance data to improve visibility, operational efficiency, and forecast accuracy.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.• Familiarity with relevant application technologies such as Python, Django, FastAPI, and WebSockets.• Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform.• Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with databases — and influence how these patterns are adopted at scale.
• Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform.• 3+ years of experience developing and architecting single-page web apps using a JavaScript framework• Strong proficiency in writing clean, reusable, optimized HTML/CSS, Typescript and JavaScript• Define and drive the architecture of scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms — shaping foundational systems that support sophisticated AI applications and workflows acr• Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform.
• Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform.Vendors whose code loads on otter.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
20 open roles, 8 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in United States →
| open · new 30 d | |
|---|---|
| Software engineering | 7 · 2 |
| Data & AI | 5 · 1 |
| Marketing & communications | 2 · 0 |
| Sales | 2 · 2 |
| Engineering (non-software) | 1 · 0 |
| IT operations & business systems | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Otter.ai to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Otter.ai
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 587 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Otter.ai (Mountain View, United States, 51-200 employees) has 20 open roles, 6 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/otter.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from otter.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Otter.ai: questions
Does Otter.ai use Python?
Yes, by the company's own words: 10 postings name it, first seen 2020-08-03, in the software engineering team.
Is Otter.ai hiring?
20 open roles as of 30 October 2026, 6 opened in the last 30 days and 1 closed. The largest team hiring is software engineering.
Where does this profile come from?
From otter.ai itself: we crawled it on 2026-08-02, built the profile on 2026-08-15, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Otter.ai?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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