Group Product Manager
About the job
- At least 5 years of product management experience, or 8 years of experience in roles that build exceptional product judgment, such as founder, early-stage operator, product marketer, or growth leader.
- Experience directly managing and mentoring Product Managers and developing their product judgment and execution.
- Deep fluency in generative media, including active use and study of current video, image, audio, and multimodal products, and an informed perspective on the field's direction.
- Hands-on experience prototyping or shipping with modern AI models and tools, including understanding their capabilities and failure modes through direct experience.
- Ability to influence and work effectively across product, engineering, and executive stakeholders and bring different perspectives together to drive decisions.
- Ability to operate in ambiguity, turn loosely defined problems into clear priorities, and create structure in a fast-moving environment.
- Strong technical and product communication skills, including engaging deeply with technical teams, understanding technical constraints and tradeoffs, and translating complex ideas into clear product decisions.
- A considered perspective on how AI has changed the product management function and what great product management will look like in the near future.
- Develop a point of view on how people will create, edit, and communicate with video as agents and underlying models become more capable, and turn that perspective into concrete product bets.
- Work with research and engineering to understand new models' capabilities and failure modes and turn them into reliable, intuitive experiences for users.
- Design coherent workflows across the creative process, from intent and generation through editing, iteration, and publishing, adapting as models and modalities change.
- Evaluate generated media for quality, controllability, consistency, latency, cost, and creative usefulness, and help the team distinguish impressive outputs from products customers can rely on.
- Spend time with creators, marketers, businesses, and emerging creative communities to understand changing workflows and identify emerging product opportunities.
- Own products end to end, from ambiguous problem through prototype, launch, measurement, and iteration; write clearly, prototype, make tradeoffs, and keep work moving without perfect information.
- Define success measures, build evaluation frameworks, work with Data Science, and use real product behavior to improve the experience and underlying models.
- Partner with Engineering, Growth, Marketing, and Support on positioning, launches, education, and distribution for new AI capabilities.
- Manage, mentor, and develop Product Managers, setting a high bar for product judgment, execution, and craft.
About the company
Mirage offers an AI-powered platform that creates and edits videos across mobile and desktop devices through an end-to-end suite of automation tools. It automatically generates subtitles, fixes eye contact, dubs in 28+ languages with Lipdub, creates scripts and AI avatars, removes background noise, and auto-edits clips from text or long-form content. Its breadth of built-in capabilities in one platform, plus features like lip-sync dubbing and multilingual output, set it apart from others that require multiple tools. The goal is to democratize video creation so anyone can tell their stories effectively and efficiently.
Company Size
51-200
Company Stage
Growth Equity (Venture Capital)
Total Funding
$160M
Headquarters
New York City, New York
Founded
2022
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Simplify's Take
What believers are saying
- March 2026 General Catalyst growth financing validated Mirage's capital-efficient growth and expansion plans.
- September 22, 2026 Tesseract launch opens an agent-native distribution channel overnight.
- Mirage's 20 million users and 250 million created videos sustain strong product-market pull.
What critics are saying
- Meta, YouTube, and CapCut bundle video creation, crushing standalone pricing power by 2027.
- OpenAI Sora and Runway commoditize prompt-to-video quality, eroding Mirage's feature moat.
- Tesseract's free local engine shifts monetization onto agents, weakening direct customer lock-in.
What makes Mirage unique
- September 2025 rebrand from Captions to Mirage signaled an AI video research lab.
- Tesseract exposes Captions' native layer-based video engine directly to AI agents.
- Mirage combines mobile creation, web bulk production, and local rendering in one workflow.
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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
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 15%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.
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
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.
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.
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.