Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media.

We get to rethink how people collaborate with AI that can actually do creative work with them—defining entirely new interaction paradigms for AI-native video tools. We make that possible by building multimodal agents that turn creative direction into edits, rendering engines that composite multiple layers of video and graphics, and generative video models trained from the ground up that create new media when needed.

All of this comes together in Captions, our creative workspace for generating, editing, and designing video. The technology behind Captions is now available more broadly: Tesseract gives any AI agent native video-editing capabilities, while developers can integrate our models into their own products through APIs.

Explore our work
Captions — Our flagship creative workspace
Tesseract — Our professional video engine for AI agents
Research — The foundation models we build in-house
Updates — The latest from Mirage
TechCrunch, Forbes, Fast Company — Press

Our Investors

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

Please note that most of our roles will require you to be in-person at our NYC HQ (located in Union Square)

About the role

We’re looking for a Group Product Manager to help define what the future of AI-native video creation looks like at Mirage. Reporting directly to our CEO and Co-Founder, you’ll operate as a product lead: owning some of our most important product bets while managing and developing a team of Product Managers.

You’ll work closely with our Research, Engineering, Design, and GTM teams to turn rapidly evolving model capabilities into products and workflows that people can rely on every day.

You’ll have significant ownership over both what we build and how we build it — helping set product direction, staying close to the details, developing the PM team, and raising the bar for product craft and execution across Mirage.

Responsibilities

Define the future of AI video. Develop a strong point of view on how people will create, edit, and communicate with video as agents and underlying models become more capable. Turn that perspective into concrete product bets.
Translate frontier capabilities into products. Work closely with research and engineering to understand what new models can do, where they fail, and how they can become reliable, intuitive experiences for real users.
Build creative systems, not isolated features. Think across the entire creative process. From intent and generation through editing, iteration, and publishing. Create workflows that feel coherent even as the underlying models and modalities change.
Develop exceptional product and model taste. Evaluate generated media across quality, controllability, consistency, latency, cost, and creative usefulness. Help the team distinguish impressive outputs from products our customers rely on.
Stay close to users and the market. Spend time with creators, marketers, businesses, and emerging creative communities. Understand how their workflows are changing and identify behaviors that point toward the next major product opportunity.
Own products end to end. Move from ambiguous problem to prototype, launch, measurement, and iteration. Write clearly, prototype, make tradeoffs, and keep work moving without waiting for perfect information.
Build tight learning loops. Define what success looks like, build eval frameworks, work closely with Data Science, and use real product behavior to improve both the experience and the models behind it.
Shape how products reach the market. Partner with Engineering, Growth, Marketing, and Support on positioning, launches, education, and distribution. The way a new AI capability is explained and introduced is often part of the product itself.
Lead and develop a high-performing Product team. Manage, mentor, and develop Product Managers, setting a high bar for product judgment, execution, and craft

Requirements

5+ years of product management experience, or 8+ years of experience in roles that build exceptional product judgement (founder, early-stage operator, product marketer, growth leader, etc.)
Experience managing and mentoring Product Managers. You’ve directly managed PMs, helped them develop stronger product judgment and execution, and know how to raise the bar while giving people the ownership and support to grow.
Deep fluency in generative media. You actively use and study the latest video, image, audio, and multimodal products. You understand where the space is today, have opinions about where it is heading, and can separate durable shifts from short-lived novelty.
Hands-on experience with AI. You have prototyped or shipped using modern models and tools. You understand their capabilities and failure modes through direct experience—not solely from managing a roadmap around them.
Strong Cross functional leadership. You understand how to influence and work effectively across product, engineering, and executive stakeholders, bringing different perspectives together to drive decisions
Comfort operating in ambiguity. You thrive in fast moving environments, can turn loosely defined problems into clear priorities and create structure.
Strong technical and product communication. You can engage deeply with technical teams, understand technical constraints and tradeoffs, and translate complex ideas into clear product decisions.
A point of view on the future of product management. You’ve thought deeply about how AI has changed the PM function over the last few years and have a perspective on what great product management will look like in the near future.

Benefits:

Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Grubhub subscription
Health & Wellness Perks
Multiple team offsites per year with team events every month
Generous PTO policy

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

About the company

Mirage builds AI video models and creative software for individual creators, small businesses and marketing teams. Its Captions app combines footage generation with editing tools, letting users make videos from prompts or refine material they have recorded themselves. Creators add captions, trim clips and adjust sound in a workspace that supports social posts, product demonstrations and other short-form content. Businesses also integrate Mirage's video-generation and captioning APIs into their own products, while the company sells paid Captions subscriptions and custom enterprise packages alongside free editing features. Mirage is headquartered in New York City, New York.

Company Size

51-200

Company Stage

Growth Equity (Venture Capital)

Total Funding

$160M

Headquarters

New York City, New York

Founded

2022

Get referred to Mirage

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Simplify's Take

What believers are saying

Full-time engineers receive retirement support: Mirage's New York web-product posting includes a 401(k) employer match.
Expansion has fresh financing: Mirage announced $75 million in non-dilutive growth capital in March 2026.
Enterprise plans address training concerns: Captions includes exclusion from model training in its enterprise packages.

What critics are saying

Remote-only applicants face a location barrier: Mirage's web-product engineering role requires in-person work at its New York headquarters.
Heavy generation requires higher tiers: Captions' iOS subscriptions allocate fixed monthly AI credits.
Adobe handoffs remain incomplete: Tesseract says project conversion is partial and After Effects export is experimental.

What makes Mirage unique

Agents edit native creative layers: Mirage's Tesseract uses video compositions, timing and sound rather than webpage representations.
Avatar performance is generated together: Mirage Avatar X combines video, audio and movement in one scene.
Voice cloning keeps regional detail: Mirage's audio model preserves localized accents and each speaker's pronunciation.

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Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Commuter Benefits
Unlimited Paid Time Off
Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

15%

Associated Press

Sep 22nd, 2026

Mirage launches Tesseract, a free video creative suite built for AI agents

Mirage has launched Tesseract, a free video creative suite designed for AI agents. The platform enables users to direct video production through their existing AI agents, offering tools for editing, motion graphics, compositing, and sound within a single editable project. Tesseract provides AI agents with direct access to a native video engine built around layers, compositions, keyframes, and masks, allowing them to create professional videos from user-supplied footage and assets. Users can provide creative direction whilst their agent builds and refines projects through feedback, eliminating the need to switch between separate applications. The entire workflow runs on Tesseract's free local engine, including previewing and rendering. No Captions account or API key is required, though users remain responsible for their agent's subscription costs. Mirage, headquartered in New York City, is backed by investors including General Catalyst, Andreessen Horowitz, and Sequoia Capital.

The Mirror Democrat and Savanna Times-Journal

Sep 22nd, 2026

Mirage introduces Tesseract, a video creative suite built for AI agents.

Mirage introduces Tesseract, a video creative suite built for AI agents. * 2 hrs ago NEW YORK, NY, September 22, 2026 (EZ Newswire) - Mirage today announced Tesseract, a video creative suite built for AI agents. Powered by the native video engine behind Captions, Tesseract lets users direct a video production through the agent they already use. "Think of Tesseract as Premiere and After Effects, rebuilt for agents," said Gaurav Misra, co-founder and CEO of Mirage. "We're giving creators the power to make professional video simply by describing what they want, right where they already work, without paying for another editing subscription or learning a complicated new tool." To make this possible, Tesseract gives agents direct access to a creative engine built around video layers, compositions, keyframes, masks, adjustment layers, timing, and sound. Agents work directly with these video concepts rather than clicking through an editor's interface or constructing video through HTML or React. This native approach helps agents create fluid, layered motion design that feels crafted for video, rather than adapted from a web page. Using Tesseract, agents can turn user-supplied footage, images, brand assets, and audio into finished videos and create original motion graphics. Projects can range from product-launch films and social ads to animated typography, diagrams, and footage with graphic overlays. The process starts with users providing their creative direction and any assets. Their agent then builds a project and refines the work through feedback, all without moving between separate editing, motion, and audio applications. Because the project remains editable throughout, users can ask their agent to rework an entire sequence or direct a specific change, such as adjusting a keyframe, changing a title's timing, or rebalancing the music. Agents can save the project, export the finished video, and reopen it for future revisions. This entire workflow runs on Tesseract's free local engine, including previewing, rendering, and export. No Captions account, API key, or Captions credits are required. Users remain responsible for their chosen agent's subscription or model-usage costs. To get started, users or their agents can follow the installation instructions on GitHub to install the Tesseract skills for video editing and motion graphics and set up the local engine. Tesseract requires a compatible agent environment that can access local files and execute local tools. About Mirage Mirage builds AI-native creative tools that make it possible for one person to direct an entire creative production. Its products include Captions and Tesseract. The company is headquartered in New York City, recognized by Forbes AI 50, and backed by leading investors including General Catalyst, Index Ventures, Kleiner Perkins, Andreessen Horowitz, Sequoia Capital, HubSpot Ventures, and Adobe Ventures. For more information, visit mirage.app. Media Contact

Webplus

Aug 13th, 2026

AI-generated news experiment raises ethical questions in journalism.

AI-generated news experiment raises ethical questions in journalism. * | YT | yahoo tech @tech.yahoo.com | * / * 2026-08-13 19:442026-08-13 23:01 Short Url: https://webplus.com/p/XLUV65osVk-8b87LptVboQ * / * 1 Views Mirage, an AI startup behind the video-editing app Captions, created a 24-hour AI news channel called the 'Mirage News Network'. The experiment, which was a $50,000 day-long project, involved AI-generated news anchors covering real stories, with 4 of the anchors completely generated by an AI agent using a mixture of Mirage's Avatar X model and tools like ChatGPT's image generator and Google's Gemini Text-to-Speech feature. The news channel was promoted through various social media accounts, with the livestream post reaching 824,000 impressions and drawing responses ranging from curious to captious. The experiment has raised questions about the ethical use of AI in journalism and whether it is possible to adhere to journalistic standards without journalists involved. The SPJ ethics committee has introduced a draft revision of its code for the AI age to press journalists to adhere to their ethical obligations as technology adapts.

HousingWire

May 7th, 2026

How Captions turned busy real estate agents into AI video creators.

How Captions turned busy real estate agents into AI video creators. Captions platform exports roughly 40,000 real estate videos each month Article Summary. AI video platform Mirage, via its Captions app, is helping real estate agents create polished videos without expensive equipment or editing skills. The platform exports roughly 40,000 real estate videos monthly, making real estate its largest user segment. Features include automated editing, captions, property tour tools, and Cappy, a texting-based AI editor. AI Summary For many real estate agents, creating polished video content once required expensive equipment, editing expertise or hiring outside production teams. But Mirage, an AI-driven, on-demand video production company, is helping to make these hurdles a relic of the past. CEO and co-founder Gaurav Misra sat down with HousingWire to detail the significant popularity gained in the real estate space by Mirage - with its Captions platform offering automated editing, AI-generated captions, avatars and property-tour creation tools. Real estate has become one of the largest user segments for Captions, as the platform exports roughly 40,000 videos from the sector each month, according to the company. In April, Mirage launched Cappy, a texting-based AI video editor that allows users to create and edit videos by sending prompts, photos and clips through a phone number interface. Editor's note: This interview has been edited for length and clarity.

Anova Translation

Apr 4th, 2026

Industry intelligence report - 4 April 2026.

Industry intelligence report - 4 April 2026. April 4, 2026 Industry intelligence report. AI Developments in Translation & Language Services 4 April 2026 Items Today Domains Covered Key Patterns Language Services Subtitling Localization Machine Translation Interpretation STAR7 posts mild 2025 revenue drop - Language Services fall below 33% of turnover. Executive summary. STAR7's trajectory illustrates a broader trend among large European language service groups: diversification away from pure language services toward technical content, engineering documentation, and adjacent services. As language revenue share erodes even at established players, competitive pressure on mid-market LSPs focused exclusively on translation is intensifying. Why it matters. Mirage raises $75M for AI video platform with 40-language subtitling and AI dubbing. Mirage - the AI video platform formerly known as Captions, which rebranded in September 2025 - has closed a $75 million funding round led by @GeneralCatalyst, bringing total funding to $175 million. The platform offers automatic subtitling in 40+ languages, AI dubbing with synchronized lip-sync in 30+ languages, and scene-level localization for different regional markets. @Mirage competes with @Synthesia, @HeyGen, and platform-native features from @YouTube and @Meta. Mirage's funding extends a pattern of consumer-grade AI video platforms building multilingual dubbing and subtitling capabilities that encroach on professional AV localization territory. When platforms with $175M in backing achieve professional-grade dubbing quality, price expectations for marketing-level AV localization shift downward - and human-led QA becomes the key differentiation argument for specialist vendors. Ajax and Brave: privacy-first localization - AI "not quite there yet" for sensitive content. A panel at SlatorCon Remote March 2026, featuring Olena Azanova (Localization Team Lead at @AjaxSystems) and Andy Andersen (International Growth Product Manager at @BraveBrowser), surfaced a nuanced challenge: privacy-first companies face elevated risk from AI translation errors. Both panelists concluded that AI is "not quite there yet" for sensitive content - particularly because privacy expectations differ by market at a granular, word-level scale. No content at either organization goes live without human review, positioning AI as an accelerant rather than a replacement in privacy-regulated contexts. Published April 2 on @Slator. Ajax (security hardware) and Brave (privacy browser) represent a growing enterprise segment where AI translation errors carry reputational and regulatory consequences that generic localization platforms are not calibrated for. The "expert-in-the-loop" framing resonates with MTPE and specialized translation vendors - as AI adoption increases, human review becomes a quality differentiator rather than an inefficiency. Fraunhofer IIS at NAB 2026: AI and LLM localization integrated into digital cinema packaging. Embedding AI localization into cinema packaging infrastructure is a significant workflow shortcut: studios can localize within the compliance and QC toolchain rather than handing off DCP-ready files to a separate localization vendor. For distributors managing shrinking release windows across multiple territories, this compresses time-to-screen for dubbed and subtitled international versions. Language Scientific: ai-assisted review gaining traction in regulated medical translation. Language Scientific, a US-based globalization company with 25+ years of medical and life sciences translation experience, published a positioning piece (April 1, 2026) articulating how AI-assisted review is being integrated into regulated translation workflows. The company's approach uses AI as a first-pass layer to flag terminology inconsistencies, formatting issues, and numerical discrepancies before medical linguists conduct compliance-focused review - an explicit "AI-assisted review is most effective when paired with subject-matter expertise" framework rather than full automation. In regulated translation (pharma, biotech, clinical research), errors carry legal and patient safety consequences. Language Scientific's articulation of an AI-first-review + human-final-sign-off model reflects the operational documentation that life sciences LSPs must now provide to clients navigating regulatory submissions requiring certified translation workflows. Key Patterns. 1. LSP revenue diversification as a strategic signal. STAR7's slide below 33% language revenue share is not an isolated data point - it reflects a deliberate pivot by large European content groups toward technical communication, engineering documentation, and adjacent services that carry higher margins and greater AI defensibility. For mid-market LSPs still deriving 80-100% of revenue from translation and interpretation, the risk of single-segment concentration is increasingly visible in public financial disclosures. 2. Consumer AI video platforms absorbing AV localization capabilities. Mirage's $75M round continues a funding pattern where consumer-facing AI video companies (HeyGen, Synthesia, ElevenLabs, Captions/Mirage) are building multilingual dubbing and subtitling capabilities at scale. These platforms are not yet targeting professional broadcast quality - but their reach, ease of use, and falling costs are reshaping price expectations for marketing-grade AV localization. 3. AI translation limits in regulated and privacy-sensitive contexts. The Ajax/Brave panel surfaces a countertrend to aggressive AI translation adoption: in sectors where content errors carry legal, safety, or privacy consequences, human review remains non-negotiable. Specialized LSPs have a defensible niche in privacy and regulated-industry verticals - provided they build and communicate structured human-in-the-loop workflows as a competitive differentiator. 4. AI integration moving up the media supply chain. Fraunhofer IIS embedding AI localization into digital cinema packaging (easyDCP) at NAB 2026 represents the same architectural move seen in Iyuno CLOE and Gaudio Studio Pro: AI localization is being integrated into infrastructure-level tools that studios and distributors already depend on. As AI subtitling and translation become embedded in DCP workflows, dedicated localization tools face increasing competition from infrastructure vendors. 5. NAB Show 2026 as the industry's AV localization showcase. NAB Show (April 19-22) is emerging as a significant venue for AV localization platform launches this year: Iyuno CLOE, Gaudio Studio Pro, and Fraunhofer IIS easyDCP AI localization are all debuting at the same event. The concentration of localization technology at a broadcast and media infrastructure conference signals that AV localization is now a core media production workflow, not a post-production afterthought. Tools gaining momentum. Names to follow. Emerging themes to track.

Mirage

Group Product Manager

About the job