O

Otter.ai

Builds AI assistants that capture meeting notes

Growth Marketing Manager - Paid Acquisition

Full-Time
$150k - $170k/yr
Senior
Bachelor's
San Francisco, CA, USA+1 moreMore locations: Mountain View, CA, USA
In Person
Growth & MarketingPerformance & Paid Marketing

About the job

Requirements
  • 7+ years in growth, performance marketing, or user acquisition, with a minimum of a BA in Economics/Business or a BS in Math, Computer Science, Statistics, or another engineering discipline
  • Experience managing and scaling paid social channels with at least a 6-figure monthly budget per channel
  • Comfortable being in the weeds daily: launching campaigns, pulling data, and iterating on creatives
  • Strong analytical foundation (CAC, LTV, retention, incrementality) paired with strong creative instincts (what makes ads convert)
  • Already using AI tools in your workflow and excited to push the edge of what AI can do in growth marketing
  • Experience with analytics tools such as Amplitude, HubSpot, Appsflyer, Google Analytics, etc.
  • Strong understanding of attribution, tracking, and measurement (GTM, MMPs, pixels)
  • Experience in fast-growing PLG or subscription businesses with LTV/CAC-focused acquisition is a plus
Responsibilities
  • Own Paid Social: Lead strategy, execution, and scaling across Meta, YouTube, TikTok, and emerging channels. Manage campaigns end-to-end and drive performance against CPA, LTV/CAC, and ROAS targets
  • Drive Creative-Led Growth: Rapidly test and iterate on UGC, video, and static ads. Partner cross-functionally to turn performance insights into high-performing assets while staying within brand guidelines
  • Build AI-Native Workflows: Leverage AI across creative, testing, and analysis to move faster, automate workflows, and scale what works. Help define what a modern, AI-native growth stack looks like at Otter
  • Experiment and Scale: Run structured, high-velocity experiments across audiences, creatives, and funnels—quickly turning insights into action. Go deep on performance data to identify scaling opportunities and inefficiencies
  • Grow Affiliate/Creator/Influencer Channels: Build and scale partnerships across influencers, publishers, and communities, owning the lifecycle from sourcing to optimization
  • Optimize the Full Funnel: Improve landing pages, messaging, and conversion flows—driving impact beyond conversions
Desired Qualifications
  • Experience in fast-growing PLG or subscription businesses with LTV/CAC-focused acquisition is a plus

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

N/A

Total Funding

$73M

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.

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

-1%

2 year growth

5%
TokenPost
Oct 11th, 2026
Voice AI executives say context still limits natural conversations.

Voice AI executives say context still limits natural conversations. PolyAI and Otter executives identified speech recognition, reasoning speed and emotional expression as key barriers to reliable voice systems. Published Oct 11, 2026, 10:06 AM EDT Voice AI executives at PolyAI and Otter said speech recognition and limited context remain major barriers to natural conversations and reliable follow-up actions. Discover more Market trend reports Bitcoin price tracker Shawn Wen, chief technology officer at PolyAI, said full-duplex models have reached an important milestone. These systems can listen and speak at the same time, but the next challenge is making reasoning fast enough to fetch answers quickly and keep conversations natural. Customer-service AI agents also need to sound less robotic and give callers confidence that they can resolve problems, Wen said. That confidence may develop after an agent successfully handles the first two or three turns of a conversation, he added. Alex Gay, chief marketing officer at Otter, said meeting automation depends on identifying speakers, capturing intent and connecting transcripts with organizational knowledge. Otter is also developing digital twins that could represent people in meetings. Discover more Ethereum investment guide Stablecoin investment platform Trade Forex Gay said those systems need voices that convey human-like emotional expression during debate and strategic discussion. Without that quality, an avatar may function more like a question-and-answer chatbot than a participant in a relationship-based conversation. Speech recognition remains a central weakness. Wen said automatic speech recognition models can miss important keywords, making it harder to preserve the full context of a conversation. Gay said transcription is the foundation for Otter's productivity tools rather than the final product. When the initial transcript is inaccurate, summaries and follow-up actions can also be flawed, undermining trust in the platform. Voice AI companies also face transparency questions about recording and disclosure. Otter is exploring methods such as notifying everyone in a meeting chat when a conversation is being recorded, including meetings in which its bot is not present. Wen said enterprise users should also be told when they are speaking with an AI system. Simon Yoon. Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to [email protected].

TechAmerica
Oct 11th, 2026
Voice AI Still Lacks Its ChatGPT Moment, PolyAI and Otter Executives Say

Voice AI still lacks its ChatGPT moment, PolyAI and Otter executives say. PolyAI and Otter leaders say voice AI needs faster reasoning, better transcription and transparency before it can deliver natural, trustworthy conversations. Oct 11, 2026 - 11:10 Voice AI has advanced rapidly, but executives from PolyAI and Otter say the technology still faces significant obstacles before it can deliver the natural, reliable interactions that made ChatGPT widely popular. Despite improvements in speech generation and real-time conversations, reasoning speed, transcription accuracy and user trust remain major challenges. Speaking at the HumanX conference, PolyAI Chief Technology Officer Shawn Wen said full-duplex models, which can listen and speak simultaneously, represent an important milestone. However, he argued that AI agents need faster reasoning to retrieve information and respond without disrupting the flow of conversation. Voice AI needs more than human-like speech. Wen said customer service agents must do more than sound natural. They need to show they can resolve problems, so callers build confidence after their first few interactions rather than immediately requesting human assistance. Alex Gay, Otter's chief marketing officer, identified similar challenges in workplace applications. He said effective AI meeting assistants require accurate speaker identification, an understanding of conversational intent and access to organisational knowledge to support automation. Otter is also developing digital twins that could represent individuals in meetings. Gay emphasised that these systems must reproduce the emotional qualities of human conversation, including the ability to participate naturally in discussions and debates, rather than functioning as basic question-and-answer chatbots. Transcription accuracy and transparency remain critical. Both executives highlighted limitations in automatic speech recognition technology. Wen said transcription systems can miss important keywords, while Gay warned that inaccurate meeting transcripts can undermine summaries and any automated actions based on them. Gay explained that transcription underpins Otter's broader productivity features. If the original record contains errors, subsequent tasks can produce incorrect results, weakening confidence in the platform. Transparency is another unresolved issue as voice AI becomes more common in customer service and workplace meetings. PolyAI believes callers should know when they are speaking with an AI agent, while Otter is exploring ways to notify meeting participants when conversations are recorded, even without a visible meeting bot. For both companies, improving voice quality alone is insufficient. Faster responses, dependable understanding and clear disclosure of AI participation remain essential to making conversational systems trustworthy for everyday use.

Recitey
Sep 6th, 2026
Wispr Flow looks great. It just doesn't exist for Windows.

Wispr Flow looks great. It just doesn't exist for Windows. You read the tweets. Wispr Flow's $14 a month and it handles voice writing better than anything else out there. Cold emails, Slack threads, support replies, and Twitter drafts, all dictated and automatically cleaned up. Category leader. So you try it. The web demo works. Actually works. You dictate a cold email to a design partner, hit send, and it reads like you spent ten minutes polishing it. Fourteen bucks a month isn't nothing if this saves you the Thursday morning ritual of drafting, rewriting, drafting again, hating the tone, rewriting once more. Kristian pushes his bootstrapped SaaS to $8k MRR by blocking Thursday mornings for what he calls his "distribution batch." One hour to draft a week of cold outreach, investor updates, support replies, and social posts. Every minute rewriting eats into the next batch. A tool that cuts that time in half is net free money at his salary math. Then you check your OS. Windows. And Wispr Flow stops existing. The Mac monopoly. Here's what happened: Wispr Flow launched on Mac first. Then iOS. Then Android. Windows never materialized. The founder team probably made a rational choice: ship on the platforms where paying users were (designers, writers, content creators on Mac) and solve the biggest market first. Makes sense. But it created a gap. Every serious voice writing tool's done this. Otter.ai launched premium features on Mac and iOS before Windows got parity. Speechify too. Windows users get the free tier, or nothing. It feels like every creator-software premium vendor took an oath that Windows users shouldn't get the same choices for the same price. The cost of that gap. Kristian's not alone. A solo founder on Windows, bootstrapping a B2B SaaS, is doing 30 to 40 percent of his day in writing. Not code. Writing emails, docs, Slack threads, support replies; the asynchronous handoff that keeps a company moving when it's one person. He already uses Cursor for the coding part. The time-value math is iron: a tool that returns 30 minutes a week at any real salary pays for itself forever. Wispr Flow could be that tool. It just doesn't exist on Windows. So Kristian does what every bootstrapped founder does. He types. He drafts four times. He reuses templates. He hits send and moves on. The Thursday distribution batch takes 90 minutes instead of 45. Why this actually matters. The gap isn't an accident. It's a market structure problem. Premium creator tools assume you own a Mac. If you don't, you get the mobile experience, the web demo, or the free tier, and you're watching high-paying users on the platform you wanted to be on. This isn't about resentment (tho there's some of that). It's about math. If a tool solves a real friction point in your day and it costs less than one cold email that converts into a paying customer, you shouldn't have to switch operating systems to use it. Recitey was built for this gap. What Recitey does differently. It runs Whisper locally on your device. No variable cost. No metering. No word cap per month. You dictate a Slack message, an email, a GitHub comment, or a support reply. It runs the model on your device, polishes the output, and sends it via your system clipboard. Works in every Windows app. Works offline. No word limit. OAuth login, no credit card required. The early traction: bootstrapped founders, consultants, engineers who spend their days writing explanations and follow-ups. Anyone who tried Wispr, loved it, and then checked their OS. The math. Kristian's Thursday batch. One hour every week. Recitey cuts the rewriting time to maybe 20 minutes. That's 40 minutes a week, or 160 hours a year. At a $150k salary, that's about $11,500 in reclaimed time. If it costs $14 a month, that's $168 a year. The break-even happened in the first two minutes of first use. The reason Wispr launched on Mac first is still sound. Most creator tools should. But the reason to use Recitey on Windows is simpler: every other choice makes you leave money on the table.

The National Law Review
Aug 31st, 2026
When AI Takes Notes: Court Allows Privacy Claims Against Otter.ai to Proceed

312-499-6335 415.774.2973 When AI takes notes: court allows privacy claims against Otter.ai to proceed. Monday, August 31, 2026 Otter.ai's AI notetaker tool has been accused of violating Illinois's biometric privacy law, and the California court hearing the case recently let the proceedings move forward. As we have previously written in our sister blog, AI notetaker tools carry a growing range of legal risks. These include exposure under wiretapping and biometric privacy laws. According to the plaintiffs, Otter's AI-powered notetaker joins virtual meetings and records and transcribes participants' speech in real time. They also allege that Otter keeps the meeting data and uses it to train its AI models without getting consent from non- subscribers. This, they allege, violates Illinois' biometric law (BIPA) as well as eavesdropping laws. Namely, the federal Electronic Communications Privacy Act (ECPA) and California's Invasion of Privacy Act (CIPA). The court allowed all of these claims to proceed. While the ruling addresses only the pleading stage and does not establish that Otter actually violated any of these laws there are several things worth keeping in mind. Regarding California's wiretapping law (CIPA), Otter argued that its bot was an authorized meeting participant and therefore a party to the conversation. The court disagreed because Otter uses the notetaker for its own commercial purpose: training AI. This was unlike a prior case, Graham v. Noom, Inc., in which the company's recording tool acted as an extension of the customer who deployed it. The court did set limits. It dismissed privacy claims where plaintiffs simply called their conversations "private" without alleging specific facts showing they had a reasonable expectation of privacy. But it allowed claims to proceed when the conversations involved sensitive topics, such as medical discussions. On the BIPA claims, the court found that Otter's speaker-tagging features plausibly involve capturing voiceprints. I.e., biometric identifiers under Illinois law. This allows plaintiffs' allegation that Otter violated the law by building speaker profiles without giving notice or getting consent. It also allows the allegation that the company should have had -and published- a written retention policy to proceed. The court rejected Otter's extraterritoriality defense, noting the plaintiffs were Illinois residents physically in Illinois when their data was collected. With BIPA carrying liquidated damages of $1,000 per negligent violation and $5,000 per intentional one, these claims add meaningful exposure. Putting It Into Practice: This ruling is a reminder of the importance of understanding the extent to which notetaker tools might use information for their own purposes. As always, practical steps include conversations with vendors, not just building terms into contracts (although those matter too). And understanding with the business the true value of using a notetaker, and balancing it against the risks. Current public notices. Published: 27 August, 2026 Published: 26 August, 2026 Published: 24 August, 2026 Published: 20 August, 2026 Published: 17 August, 2026 Published: 12 August, 2026 Published: 10 August, 2026 Published: 4 August, 2026 Published: 31 July, 2026 Published: 27 July, 2026 Published: 1 July, 2026

ID Tech Wire
Aug 20th, 2026
ID Tech digest - august 20, 2026.

ID Tech digest - august 20, 2026. August 20, 2026 Welcome to ID Tech's digest of identity industry news. Here's what you need to know about the world of digital identity and biometrics today: eSafety secures Roblox undertaking with first third party age assurance audit. Australia's eSafety Commissioner has secured a court-enforceable undertaking from Roblox requiring the gaming platform to submit its age-estimation measures and child-safety systems to an independent third-party auditor. Marking the first time independent auditing has been mandated under the country's Online Safety Act, the regulatory action follows agency testing that uncovered critical gaps, including adult accounts contacting Australian minors without parental consent and public visibility of children's profiles. While maintaining it meets regulatory obligations, Roblox has agreed to default under-16 accounts to private, restrict unapproved adult contact, and implement third-party compliance evaluations within three months to audit platform age assurance and enforce youth safety controls. Otter ai must face voiceprint claims under Illinois Biometric law. A federal judge in the U.S. District Court for the Northern District of California has ruled that Otter.ai must face class-action claims under the Illinois Biometric Information Privacy Act (BIPA), federal wiretap statutes, and the California Invasion of Privacy Act. Judge Eumi K. Lee determined that plaintiffs plausibly alleged the AI transcription service captured identifying voiceprints during virtual meetings on Zoom and Microsoft Teams by tagging speakers in real time to build persistent identification profiles. Finding that meeting participants in Illinois sufficiently established regional claims regardless of processing server locations, the court allowed the privacy litigation to proceed to determine liability for automated voiceprint collection during virtual meetings. DHS offers licenses for two patented biometric screening systems. The U.S. Department of Homeland Security is seeking commercial licensing partners for two patented biometric systems developed in-house by researchers at the Science and Technology Directorate and the Transportation Security Administration. Credited to agency inventors Daniel Boyd and Arun Vemury, the Biometric Identity Disambiguation system resolves traveler screening bottlenecks caused by shared names, identical birthdates, and typographical input errors. The second technology, the Biometric Data Collection and Verification System, generates a standardized metric to evaluate biometric capture stations across effectiveness, efficiency, user satisfaction, and demographic equitability, enabling commercial implementers to license federal biometric screening and performance verification systems. Scottish police inspectorate urges facial recognition to enforce football banning orders. HM Chief Inspector of Constabulary in Scotland Craig Naylor has recommended the adoption of facial recognition technology to prevent barred individuals from attending football matches, setting out the guidance in the HMICS Annual Report 2025-26. Following an independent review into significant disorder and safety failures during the March Scottish Cup quarter-final at Ibrox, the inspectorate urged sports governing bodies to deploy facial recognition alongside stricter crowd limits and rigorous banning orders, warning that ministers should mandate the technology if voluntary adoption stalls. The proposal encourages law enforcement to safely integrate advanced computer vision systems to enforce football stadium banning orders using facial recognition. Checkr acquires Truv to add income and employment verification. Background screening provider Checkr has acquired Truv, an income, asset, and employment verification platform that connects directly to payroll systems and financial institutions on a consumer-permissioned basis. Reaching 96 percent of the U.S. workforce, Truv's source-level data verification eliminates reliance on applicant-uploaded pay stubs, directly targeting income fraud across mortgage underwriting and state social services administering Medicaid and SNAP benefits. Following its previous purchase of Truework, the acquisition expands Checkr's footprint across a $45 billion verification market to automate consumer permissioned payroll and employment verification. Face search service ClarityCheck left more than 9 million images exposed. Cybersecurity researcher Jeremiah Fowler discovered an unprotected and unencrypted database belonging to people-search platform ClarityCheck that exposed approximately 9,042,977 image files totaling 450.2 GB on the open internet. Stored in unsecured cloud folders accessible via paths embedded in the service's website code, the repository contained facial images of adults, teenagers, and children sourced from social media, dating apps, and user uploads, alongside misconfigured APIs that leaked personal contact information. While ClarityCheck disputed the extent of public exposure and secured the data following notification, the incident underscores privacy and security risks surrounding unsecured face search databases and exposed biometric assets. Apple Wallet IDs set to reach four more US states. Code findings reported in Apple's mobile ecosystem indicate that driver's licenses and state IDs in Apple Wallet are preparing to launch in Oklahoma, Utah, and Virginia, joining North Carolina's confirmed rollout to expand the digital identity feature to 18 states and Puerto Rico. North Carolina's Division of Motor Vehicles confirmed its state mobile wallet will debut in December, with integration into Apple, Google, and Samsung wallets scheduled for early 2027. Stored securely on user devices and presented by tapping an iPhone or Apple Watch against an identity reader authorized through Face ID or Touch ID, the mobile credentials allow residents to present verifiable digital driver licenses at TSA checkpoints. South africa launches biometric Electronic Travel Authorisation. South African President Cyril Ramaphosa and Home Affairs Minister Leon Schreiber have launched an online Electronic Travel Authorisation (ETA) system at OR Tambo International Airport, transitioning national border management toward automated biometric processing. Combining live facial capture, machine learning, and the upgraded eMCS 2.0 movement control platform, the digital application allows visitors arriving at major international airports to replace traditional paper visas with instant online clearances linked directly to their passports. Following an earlier G20 pilot, the system pre-screens international travelers before arrival to modernize border management with biometric electronic travel authorizations. New York City biometric scanning ban wins Council majority. A New York City Council legislative proposal, Introduction 213, has secured a 28-member majority and the official backing of Mayor Zohran Mamdani's administration to ban commercial establishments open to the public from using biometric surveillance. Sponsored by Council Member Shahana Hanif, the bill prohibits sports arenas, concert halls, and retail stores from capturing facial, iris, voiceprint, or gait biometrics to identify or track customers, while establishing private rights of action with statutory damages up to $5,000 for violations. Supported by city consumer protection officials following controversial facial recognition deployments at venues like Madison Square Garden, the legislation aims to prohibit commercial biometric scanning in public venues and retail stores. FaceTec reaches 50 issued patents with USPTO grant on autonomous authentication nodes. Biometric technology firm FaceTec has expanded its intellectual property portfolio to 50 issued patents following the U.S. Patent and Trademark Office's grant of U.S. Patent 12,699,756 for autonomous authentication node servers. Invented by CEO Kevin Alan Tussy, the patented architecture permanently blocks external administrative or IT staff access once an authentication node is activated, preventing insider credential tampering and unauthorized account validation. The grant adds to the company's patented 3D liveness detection portfolio - which recently withstood inter partes review challenges brought by Jumio before the Patent Trial and Appeal Board - to secure autonomous biometric authentication nodes against administrative manipulation. By the ID Tech Editorial Team