
201 - 500 employees
Founded 2012
☁️ SaaS
🔌 API
🛍️ eCommerce
💰 $100M Secondary Market on 2022-02
SaaS • API • eCommerce
Cloudinary is a leading provider of a cloud-based platform that allows businesses and developers to manage, transform, and deliver rich media content including images and videos. The platform offers a range of solutions such as digital asset management (DAM), programmable media APIs, low-code workflow automation, and generative AI for media content. Cloudinary's services are designed to enhance performance, streamline workflows, and improve user experience with tools that include automated image transformations, video APIs, and AI-powered optimizations. Trusted by over 2 million developers and 10,000 enterprises, Cloudinary caters to various industries including media and entertainment, retail, and e-commerce, offering seamless integration capabilities for various technology stacks.
🕒 May 13
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201 - 500 employees
Founded 2012
☁️ SaaS
🔌 API
🛍️ eCommerce
💰 $100M Secondary Market on 2022-02
SaaS • API • eCommerce
Cloudinary is a leading provider of a cloud-based platform that allows businesses and developers to manage, transform, and deliver rich media content including images and videos. The platform offers a range of solutions such as digital asset management (DAM), programmable media APIs, low-code workflow automation, and generative AI for media content. Cloudinary's services are designed to enhance performance, streamline workflows, and improve user experience with tools that include automated image transformations, video APIs, and AI-powered optimizations. Trusted by over 2 million developers and 10,000 enterprises, Cloudinary caters to various industries including media and entertainment, retail, and e-commerce, offering seamless integration capabilities for various technology stacks.
• Create and optimize content engineered to surface in LLM responses — question-led pages, comparison pages, etc. • Track where the brand appears (and doesn't) across major AI surfaces and report on coverage trends in specific products (video). • Identify high-intent prompts we should be visible for, and ship the supporting content. • Ship two pieces of work per day on average — content, live community insertions, or successful listicle outreach. • Outreach for inclusion in industry listicles, review sites, and category roundups. • Manage and grow our presence on G2, Capterra, TrustRadius, and similar platforms in collaboration with the internal team. • Build relationships with analyst-style writers and journalists publishing in the category. • Participate authentically in Reddit, Quora, Hacker News, and other community discussions where the brand should be in the conversation. • Identify high-traffic threads where competitors are mentioned and we're not — and change that. • Build a presence that's helpful first and promotional second. (Communities will sniff out anything else.) • Log every experiment in the team tracker. • Monitor AI visibility weekly across the tools we use to measure it. • Write short async recaps on what moved coverage, what didn't, and why.
• One to three years of hands-on content, SEO, community management, or PR execution experience — agency, in-house, or freelance. • You've personally written content, run outreach, and posted in communities — not just managed someone else who did. • You move fast. You're comfortable trying things, measuring, and iterating. • You use LLMs daily and have an intuition for how they pull answers. • You're comfortable on Reddit, Hacker News, Quora, or comparable communities — you read the room before you post. • Bonus: familiarity with AI visibility tracking tools (Profound, Goodie, AthenaHQ, or similar). • Strong written English. You can write content that sounds human, ranks, and gets quoted by AI answer engines. • Direct, clear, and brief in writing. We don't reward long emails. • Comfortable working asynchronously across time zones. • You'd rather ship and learn than plan and wait. • You want a role with clear weekly targets and visible outcomes. • You're comfortable with feedback loops that are fast and direct.
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