O

Otter.ai

Builds AI assistants that capture meeting notes

Software Engineer New Grad - Backend

Full-TimePosted on 10/19/2026
$136k - $164.5k/yr
Entry
Bachelor's, Master's
Mountain View, CA, USA
In Person
Software EngineeringBackend Engineering

About the job

Requirements
  • A bachelor's or master's degree in Computer Science or a related field.
  • Recent graduate or up to 1 year of experience building software, with an understanding of how backend decisions affect user experience.
  • Ability to write clean, maintainable code in a modern language such as Python, Go, Java, or C++, or a similar language, and a solid grasp of computer science fundamentals including data structures, algorithms, and systems basics.
  • Some exposure to backend or systems concepts such as APIs, databases, distributed systems, or cloud infrastructure.
  • Focus on outcomes and whether delivered work is reliable and useful.
  • Ability to take ownership of problems end-to-end and collaborate across product, design, and AI disciplines.
  • Comfort operating in ambiguous, fast-moving environments and iterating quickly on product and technical direction.
Responsibilities
  • Design, implement, test, and deploy production features and services that serve users at scale.
  • Take work from idea through design, implementation, rollout, and monitoring.
  • Make deliberate tradeoffs across latency, cost, reliability, and quality.
  • Develop maintainable, evolvable backend services, APIs, and asynchronous workflows.
  • Use metrics, logging, user feedback, and experimentation to identify problems and improve systems.
  • Use AI-assisted development and modern tooling to prototype and ship quickly while maintaining a high engineering standard.
Desired Qualifications
  • Experience, including coursework, projects, or internships, building backend, infrastructure, or product-facing systems.
  • Experience with cloud platforms such as AWS or GCP, containers, or continuous integration and continuous delivery (CI/CD).
  • Experience with large language model-powered features or machine learning systems, including prompting, evaluation, retrieval-augmented generation (RAG), or speech recognition.

About the company

Otter.ai builds AI meeting assistants for professionals, students, and teams that turn spoken conversations into searchable notes and summaries. Its meeting assistant joins calls on Zoom, Microsoft Teams, and Google Meet, capturing what people say and organizing decisions and action items for later review. Users follow live transcripts, identify speakers, and share recordings with colleagues, while mobile apps also record lectures and in-person discussions. The company sells subscriptions for individuals and business teams, with a free entry plan and enterprise contracts that add administrative controls. Otter.ai was founded in 2016 and is headquartered in Mountain View, California.

Company Size

51-200

Company Stage

Debt Financing

Total Funding

$393M

Headquarters

Mountain View, California

Founded

2016

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Simplify's Take

What believers are saying

  • Otter starts with a broad adoption base: the company reports more than 35 million users.
  • Otter gains another route into daily work: its approved ChatGPT app queries meeting history without manual uploads.
  • Employees receive an equity incentive: Otter advertises stock option packages alongside salaries.

What critics are saying

  • Otter must justify a separate bill: Zoom includes transcription and meeting summaries in eligible paid plans.
  • Legal exposure survived dismissal: an August 2026 ruling allowed wiretapping and voiceprint claims against Otter to proceed.
  • Expect regular Bay Area commuting: Otter mixes Mountain View or San Francisco office days with home days.

What makes Otter.ai unique

  • Otter turns calls into hiring records: its Recruiting Agent syncs interview insights into Greenhouse.
  • Otter conducts website sales conversations: its sales agent qualifies visitors and runs personalized product demos.
  • Otter's assistant participates in discussions: its voice-activated agent answers questions and completes tasks during meetings.

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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

6 month growth

-1%

1 year growth

-1%

2 year growth

4%
AndroGuider
Oct 20th, 2026
Otter.ai secures $320 million to expand AI meeting assistant globally.

Otter.ai secures $320 million to expand AI meeting assistant globally. Tl;dr. * Otter.ai has secured $320 million in non-dilutive financing from General Catalyst's Customer Value Fund, with repayment tied to marketing performance rather than equity. * The meeting note-taking startup plans to use the capital to accelerate enterprise growth, expand go-to-market efforts, and extend its international reach. * The deal highlights surging investor interest in profitable AI productivity tools as Otter pushes product innovation beyond transcription into full meeting intelligence. A new kind of bet on AI productivity. Otter.ai, the AI meeting assistant best known for real-time transcription and automated notes, has landed one of the largest financings in its history - a $320 million investment from General Catalyst's Customer Value Fund. Unlike a traditional venture round, the financing is non-dilutive, meaning Otter.ai founders and existing shareholders will not give up equity. Instead, repayment is tied directly to marketing performance and revenue generated from customer acquisition, a structure General Catalyst has increasingly used to help late-stage startups scale without adding balance-sheet debt or dilution. The company confirmed the funding will be deployed specifically to supercharge growth initiatives, not general operations. Why non-dilutive, and why now. The Customer Value Fund, part of General Catalyst, focuses on providing growth capital backed by predictable customer lifetime value. For companies with strong unit economics and high retention - like subscription-based AI tools - the model offers an alternative to raising another equity round at an uncertain valuation or taking on venture debt. For Otter.ai, which says it has passed tens of millions of users and serves hundreds of thousands of business teams, the timing is strategic. The AI notetaker market has become fiercely competitive, with Microsoft Copilot, Zoom AI Companion, Google Duet AI, and startups like Fireflies, Fathom, and Read AI all vying for enterprise meeting workflows. By securing non-dilutive capital, Otter can spend aggressively on customer acquisition while preserving optionality for a future IPO or traditional primary raise. Fueling enterprise growth. A core pillar of the plan is enterprise expansion. While Otter initially grew through viral adoption by students, journalists, and individual professionals, it has spent the last two years pivoting upmarket. The new funds will be used to grow its enterprise sales team, deepen compliance and security features like SOC 2, HIPAA, and SSO support, and build custom deployments for large organizations in regulated industries including healthcare, legal, finance, and education. Otter has already launched Otter Business and Otter Enterprise tiers with admin controls, domain capture, and centralized billing - tools designed to convert bottom-up individual usage into company-wide contracts. Go-To-Market expansion. The financing is explicitly tied to go-to-market performance, and much of it will be recycled directly into sales and marketing. Expect a major ramp in digital acquisition, partnerships with conferencing platforms like Zoom, Microsoft Teams, and Google Meet, and expanded channel partnerships. The company also plans to invest in its self-serve funnel to convert its massive base of free users into paying subscribers. Executives have framed the strategy as efficient scaling: using capital where customer acquisition cost payback is proven, rather than burning cash on untested bets. International reach on the roadmap. Another priority is international growth. Otter remains strongest in the U.S., but demand for multilingual meeting summarization is rising fast in Europe, Asia-Pacific, and Latin America. The company plans to use part of the $320 million to localize its product, expand language support beyond English, Spanish, and French, and build regional go-to-market teams. Improved real-time translation, regional data residency, and compliance with GDPR and other local regulations are expected to be key enablers. Beyond transcription: product innovation. Otter insists this is not just a growth round - it's also a product round. The startup is evolving from a transcription utility into a full AI meeting intelligence platform. Recent and planned innovations include Otter AI Chat for querying past meetings, automated action-item detection and follow-up drafting, sales call insights, and deeper integrations with Slack, Salesforce, HubSpot, and Notion. With fresh capital for R&D, Otter aims to invest further in proprietary speech models for higher accuracy in noisy environments and accented speech, as well as agent-like features that can auto-join meetings, draft emails, and update project management tools. What it signals for the AI market. The $320 million deal underscores a broader shift in AI funding. As investors grow more selective about capital-intensive foundation model companies, profitable, application-layer AI startups with real revenue and retention are commanding premium, creative financing. For General Catalyst, the bet is a vote of confidence that AI meeting assistants are not a commodity feature, but a sticky enterprise workflow worth scaling globally. If Otter executes on its enterprise, international, and product roadmap, the non-dilutive round could set the stage for its next major milestone - whether that's a blockbuster equity raise or a path to public markets. AndroGuider Team Articles written by the AndroGuider team. Androguider try to make them thorough and informational while being easy to read.

The AI Insider
Oct 20th, 2026
Otter.ai raises $320M from General Catalyst's Customer Value Fund to expand enterprise AI.

Otter.ai raises $320M from General Catalyst's Customer Value Fund to expand enterprise AI. AI meeting note-taking company Otter.ai has secured $320 million from General Catalyst's Customer Value Fund (CVF), which provides non-dilutive capital to startups and earns returns based on the results of marketing spend. Otter said the funding will support enterprise growth, go-to-market strategy, international expansion and product innovation. The nearly decade-old company had raised $50 million in total before this deal, according to PitchBook. Otter passed $100 million in annual recurring revenue last year and said its product has now reached 40 million users, up from 25 million, though it did not share updated revenue, active user or churn figures. Pranav Singhvi, Partner and Co-founder of CVF at General Catalyst, said voice is one of enterprise AI's largest untapped opportunities and that Otter is at the forefront of turning voice data into actionable business insights. Otter faces heavy competition from rivals including Fireflies.ai, Granola and Read AI, as well as newer entrants such as Calendly and Superhuman. Newly appointed CMO Alex Gay said the company sees a major opportunity in helping people in meeting-heavy roles turn transcripts into actionable plans. Otter is testing AI-powered pre-meeting briefs and a Live Assist feature that answers questions during meetings. James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader. The AI economy, every weekday morning The daily briefing on LinkedIn. Free, one tap to follow.

Gate.com
Oct 20th, 2026
Otter.ai raises $320 million from General Catalyst for meeting tool.

Otter.ai raises $320 million from General Catalyst for meeting tool. 2026-10-20 04:03:29 Key takeaways. * Otter.ai raised $320 million from General Catalyst's Customer Value Fund on Tuesday, a non-dilutive financing vehicle based on marketing spend performance. * Otter.ai reported 40 million total users and crossed $100 million in annual recurring revenue last year. * Otter.ai will deploy funding toward enterprise growth, international expansion, and testing pre-brief and Live Assist meeting features. Otter.ai announced on Tuesday that it has raised $320 million from General Catalyst's Customer Value Fund (CVF), a non-dilutive financing vehicle that provides capital tied to marketing spend returns. The meeting note-taking startup will use the funds for enterprise growth, go-to-market strategy, international expansion, and product innovation. The funding comes as Otter.ai operates in an increasingly crowded market of AI-powered meeting assistants, with competitors including Fireflies.ai, Granola, Read AI, and recent entrants like Calendly and Superhuman. Otter.ai secures $320 million from General Catalyst CVF. Otter.ai raised $320 million from General Catalyst's Customer Value Fund, which provides capital to startups without diluting equity and generates returns based on marketing spend results. The startup, operational for nearly a decade, had previously raised $50 million in total funding with its last round in 2021, according to PitchBook data. Pranav Singhvi, Partner and Co-founder of CVF at General Catalyst, stated: "Voice is one of the biggest untapped opportunities in enterprise AI, and Otter is at the forefront of it - a conviction that's only deepened watching Otter's growth. When Otter enables enterprises to capture critical voice data and turns it into actionable business insights, teams move faster, decisions get sharper, and productivity compounds across the organization, and that's why it's a strong partner for CVF." Company reports 40 million total users and $100 million ARR milestone. Otter.ai reported that 40 million users have used its product to date, up from 25 million last year. Last year, the company crossed $100 million in annual recurring revenue (ARR). The company stated it is now approaching new milestones but did not provide updated figures. The startup also did not disclose numbers around monthly active users or churn rates. Otter.ai plans enterprise expansion and product innovation. The company will deploy the $320 million toward enterprise growth, go-to-market strategy, international expansion, and product innovation. In recent years, Otter.ai introduced a meeting assistant, a search function that works across apps, and integration with other AI tools. Meeting note-taking market features multiple competitors. The meeting note-taking space includes well-funded competitors such as Fireflies.ai, Granola, and Read AI, along with new entrants like Calendly, Wispr, and Superhuman, which acquired Fathom. Other players in the market include Circleback, Talat, and Quill. Most of these platforms aim to connect to enterprise systems and automate workflows based on data captured in meetings. Otter.ai tests pre-brief and Live Assist features. Otter.ai is experimenting with providing insights before, after, and during meetings. The company has been testing a feature to send a pre-brief to users with details and background information, with context from previous conversations across surfaces. Alex Gay, Otter's newly appointed CMO who comes from Superhuman, told TechCrunch at the HumanX conference last month: "When we start thinking about what is actually the bigger problem that people are facing right now, we saw this large pain point in meeting-heavy roles, where people are back-to-back in conversations. These meetings are the work for them. That's either customer conversations or, from a sales standpoint. That's where strategies are discussed. But meetings are terribly inefficient because when you come into a meeting, you spend the first twenty minutes recapping what was said before to catch everybody up." The company is also testing a Live Assist feature to let users ask questions to the AI assistant during meetings to get knowledge. Faq. What funding did Otter.ai announce on Tuesday? Otter.ai announced on Tuesday that it raised $320 million from General Catalyst's Customer Value Fund (CVF), a non-dilutive financing vehicle that provides capital tied to marketing spend returns. How many users has Otter.ai reported? Otter.ai reported that 40 million users have used its product to date, up from 25 million last year. The company crossed $100 million in annual recurring revenue last year. What new features is Otter.ai testing? Otter.ai is testing a pre-brief feature to send users details and background information with context from previous conversations, and a Live Assist feature that lets users ask questions to the AI assistant during meetings. Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.

IntelPro
Oct 20th, 2026
Otter.ai raises $320 million from General Catalyst s growth fund for its meeting tool.

Otter.ai raises $320 million from General Catalyst s growth fund for its meeting tool. Meeting note-taking tool Otter.ai announced on Tuesday that it has raised $320 million from General Catalyst s Customer Value Fund (CVF), which provid Meeting note-taking tool Otter.ai announced on Tuesday that it has raised $320 million from General Catalyst's Customer Value Fund (CVF), which provides capital to startups without diluting equity and gets returns on the results of marketing spend. Otter.ai said that it will use these funds for enterprise growth, go-to-market strategy, international expansion, and product innovation. The startup, which has been around for nearly a decade, has raised $50 million in total funding with its last round in 2021, according to PitchBook data. Last year, Otter hit a revenue milestone after crossing $100 million in annual recurring revenue (ARR). The company said it's now approaching new milestones, but didn't provide updated figures. The company said that 40 million users have used its product to date, up from 25 million last year. However, given the crowded space among meeting note-taking products, a pertinent challenge for Otter would be to have its customers stick around. Unfortunately, the startup didn't provide any numbers around its monthly active users or churn. "Voice is one of the biggest untapped opportunities in enterprise AI, and Otter is at the forefront of it - a conviction that's only deepened watching Otter's growth," said Pranav Singhvi, Partner and Co-founder of CVF, General Catalyst. "When Otter enables enterprises to capture critical voice data and turns it into actionable business insights, teams move faster, decisions get sharper, and productivity compounds across the organization, and that's why it's a strong partner for CVF." There is a lot of competition in the market with well-funded meeting notetakers like Fireflies.ai, Granola, and Read AI; new entrants like Calendly, Wispr, and Superhuman, which acquired Fathom; and other notetakers like Circleback, Talat, and Quill. Most of these notetakers want to connect to enterprise systems and, based on data captured in meetings, automate workflows. Otter is also heading in that direction. In the last few years, it introduced a meeting assistant, a search function that works across apps, and integration with other AI tools. Otter's newly appointed CMO, Alex Gay, who comes from Superhuman, told TechCrunch at a sit-down at the HumanX conference last month that the company sees a big opportunity in turning transcripts into an actionable roadmap for people who are in back-to-back meetings. "When we start thinking about what is actually the bigger problem that people are facing right now, we saw this large pain point in meeting-heavy roles, where people are back-to-back in conversations. These meetings are the work for them. That's either customer conversations or, from a sales standpoint. That's where strategies are discussed. But meetings are terribly inefficient because when you come into a meeting, you spend the first twenty minutes recapping what was said before to catch everybody up," he said. The company is now experimenting with providing insights before, after, and during meetings. It has been testing a feature to send a pre-brief to users with details and background information, with context from previous conversations across surfaces. Plus, it is also trying out a Live Assist feature to let users ask questions to the AI assistant during the meeting to get knowledge.

TechCrunch
Oct 20th, 2026
Otter.ai raises $320 million from General Catalyst's growth fund for its meeting tool.

Otter.ai raises $320 million from General Catalyst's growth fund for its meeting tool. 4:00 AM PDT · October 20, 2026 Meeting note-taking tool Otter.ai announced on Tuesday that it has raised $320 million from General Catalyst's Customer Value Fund (CVF), which provides capital to startups without diluting equity and gets returns on the results of marketing spend. Otter.ai said that it will use these funds for enterprise growth, go-to-market strategy, international expansion, and product innovation. The startup, which has been around for nearly a decade, has raised $50 million in total funding with its last round in 2021, according to PitchBook data. Last year, Otter hit a revenue milestone after crossing $100 million in annual recurring revenue (ARR). The company said it's now approaching new milestones, but didn't provide updated figures. The company said that 40 million users have used its product to date, up from 25 million last year. However, given the crowded space among meeting note-taking products, a pertinent challenge for Otter would be to have its customers stick around. Unfortunately, the startup didn't provide any numbers around its monthly active users or churn. "Voice is one of the biggest untapped opportunities in enterprise AI, and Otter is at the forefront of it - a conviction that's only deepened watching Otter's growth," said Pranav Singhvi, Partner and Co-founder of CVF, General Catalyst. "When Otter enables enterprises to capture critical voice data and turns it into actionable business insights, teams move faster, decisions get sharper, and productivity compounds across the organization, and that's why it's a strong partner for CVF." There is a lot of competition in the market with well-funded meeting notetakers like Fireflies.ai, Granola, and Read AI; new entrants like Calendly, Wispr, and Superhuman, which acquired Fathom; and other notetakers like Circleback, Talat, and Quill. Equity Live: The Startup Stories Shaping 2026 Most of these notetakers want to connect to enterprise systems and, based on data captured in meetings, automate workflows. Otter is also heading in that direction. In the last few years, it introduced a meeting assistant, a search function that works across apps, and integration with other AI tools. Otter's newly appointed CMO, Alex Gay, who comes from Superhuman, told TechCrunch at a sit-down at the HumanX conference last month that the company sees a big opportunity in turning transcripts into an actionable roadmap for people who are in back-to-back meetings. "When we start thinking about what is actually the bigger problem that people are facing right now, we saw this large pain point in meeting-heavy roles, where people are back-to-back in conversations. These meetings are the work for them. That's either customer conversations or, from a sales standpoint. That's where strategies are discussed. But meetings are terribly inefficient because when you come into a meeting, you spend the first twenty minutes recapping what was said before to catch everybody up," he said. The company is now experimenting with providing insights before, after, and during meetings. It has been testing a feature to send a pre-brief to users with details and background information, with context from previous conversations across surfaces. Plus, it is also trying out a Live Assist feature to let users ask questions to the AI assistant during the meeting to get knowledge. When you purchase through links in our articles, we may earn a small commission. This doesn't affect our editorial independence. Ivan Mehta Ivan covers global consumer tech developments at TechCrunch. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. You can contact or verify outreach from Ivan by emailing [email protected] or via encrypted message at ivan.42 on Signal. November 4 Buy One Pass, Get a Second Free Cover more ground at TechCrunch's ultimate founder bootcamp of the year by bringing your co-founder or partner for free Book before the BOGO deal expires

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