Cloudinary

• Develop and maintain client-facing reporting packages that provide visibility into corporate travel program performance. • Analyze travel spend across air, hotel, rail, and ground transportation categories. • Create reports highlighting booking trends, traveler behavior, supplier utilization, and program compliance. • Support quarterly business reviews (QBRs) and executive client meetings with data-driven insights. • Identify opportunities to improve travel policy compliance, adoption, savings, and traveler experience. • Translate travel data into recommendations that help clients optimize their programs. • Analyze booking data from Online Booking Tools (OBTs), Global Distribution Systems (GDS), expense platforms, and internal reporting systems. • Monitor key travel metrics including: Total travel spend, Booking volume, Advance purchase behavior, Online booking adoption, Policy compliance, Airline and hotel utilization, Savings opportunities, Unused ticket activity, Traveler engagement, Agent-assisted versus self-service bookings. • Identify trends, anomalies, and opportunities through data analysis. • Provide actionable recommendations to internal teams and clients. • Develop reporting to measure TMC operational performance and service delivery. • Track key operational metrics including: Service Level Agreement (SLA) performance, Agent response times, Call/email/chat volumes, Ticketing activity, Queue performance, Customer satisfaction trends, After-hours support activity, Escalation trends. • Partner with Operations leadership to identify process improvements and efficiency opportunities. • Create dashboards that provide real-time visibility into operational health. • Analyze airline, hotel, and rental car performance to support supplier strategy. • Monitor negotiated contract performance and utilization. • Support supplier reviews with data-backed insights. • Build and maintain dashboards using tools such as Power BI, Tableau, or similar business intelligence platforms. • Create automated reporting solutions to improve efficiency and reduce manual processes. • Validate data accuracy across multiple travel technology platforms.

• Identify and recruit strategic partners that can disrupt the status quo • Assess partner potential through market access, solution relevance, and scalability • Build executive alignment among partners and internal leadership • Work across internal teams to help partners unlock new revenue streams • Influence the company’s product and AI platform roadmap

• Lead and execute brand and campaign design initiatives that strengthen Cloudinary’s visual identity and support business growth. • Design high-quality creative assets across digital channels, including landing pages, web experiences, advertising campaigns, eBooks, and marketing collateral. • Partner with marketing, brand, and cross-functional teams to deliver cohesive and impactful creative experiences. • Build, evolve, and maintain scalable design approaches and contribute to brand consistency across projects and campaigns. • Manage multiple concurrent projects while balancing timelines, priorities, and stakeholder expectations effectively. • Apply strong visual design principles and user-centered thinking to improve engagement and campaign performance. • Present design concepts, communicate creative rationale clearly, and incorporate feedback collaboratively. • Contribute to a culture of inclusivity, operational excellence, continuous learning, and creative collaboration.

• Ship and refresh content at pace • Rewrite and refresh existing pages based on what's working — title tags, headers, intros, internal links. • Publish new pages targeting specific keyword clusters we've already prioritized. • Optimize pages against the patterns of competitors who outrank us, including ones who do so with fewer backlinks. • Ship two pieces of work per day on average — refreshes, new pages, or optimization passes. • Build backlinks and authority • Outreach for backlinks on priority pages — listicles, guest posts, resource pages, partner placements. • Identify content gaps where competitors are getting links and we're not. • Manage and grow our backlink profile with tools like PressWhizz, BuzzStream, or similar. • Track and report what's working • Monitor keyword rankings weekly for the pages you've shipped. • Log every experiment in the team tracker — hypothesis, change made, result. • Write short async recaps on what moved, what didn't, and why.

• Drive presence across AI-powered search engines and large language models. • Ship experiments every week, measuring results, and iterating fast. • Run at least 5 experiments per week, demonstrating measurable progress on a weekly cadence. • Own the experiment tracker: structure, completeness, and consistency across pillars. • Produce a weekly recap that gives leadership a clear read on what shipped, what worked, and what's next. • Track approval and review SLAs, surfacing anything stuck before it becomes a problem. • Turn strategic intents into shippable briefs with clear owners, success criteria, and deadlines.

• 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.

• Identify and close upsell and cross-sell opportunities to maximize revenue from existing accounts. • Develop and maintain strong relationships with key stakeholders within client organizations. • Create, develop, and execute strategic territory and account plans • Understand clients' business objectives and challenges to position Cloudinary's solutions effectively. • Collaborate with cross-functional teams, including Sales, Customer Success, and Product, to deliver exceptional service and support to clients. • Act as a trusted advisor to clients, providing guidance on best practices for media management and optimization. • Monitor client usage and performance metrics to identify areas for improvement and optimization. • Maintain accurate and current account and opportunity forecasting within internal sales tools. • Stay updated on industry trends, competitive landscape, and emerging technologies to better serve clients. • Ensure customer satisfaction and retention.

• End-to-end architecture and operational ownership of Cloudinary’s marketing tech stack: Marketo, Salesforce, MTA platform, Common Room, AdRoll, and other point solutions. Ensure the stack is secure, scalable, documented, and instrumented for ROI. • Drive AI orchestration across GTM Pipeline Generation: identify high-impact AI use cases, leverage native and non-native agentic capabilities to add leverage to create and accelerate pipeline creation, and operationalize them into campaign flows (e.g., content generation, lead scoring, intent signals ingestion, predictive funnel nudges). • Build and maintain integrations, data models, and automated flows that reliably convert marketing activity into measurable pipeline and influence. • Partner tightly with Demand Gen, Sales Ops, RevOps, Product Marketing, and Customer Success to align on lead definitions, routing, SLA, and closed-loop measurement. • Own platform governance: release cadence, environment management (dev/staging/prod), documentation, security and compliance considerations, and vendor evaluations.

• Increase brand visibility and citation frequency in AI engines through disciplined experimentation. • Run at least 5 experiments per week with measurable progress. • Collaborate with cross-functional teams to align messaging, creative, and experiments. • Prepare weekly performance reports with insights and recommend next steps based on performance trends.

AI agents (Claude Code, Cursor, Windsurf, GitHub Copilot) are becoming a primary way developers discover and integrate tools. When a developer asks an agent to add image and video management to their app, the agent’s autonomous decision to install a tool, connect to its API, and start using it is the new top-of-funnel. We call this motion Agent Experience (AX): distinct from SEO (human finds us via search engine) and AEO (human is influenced by an LLM recommendation). AX is when the agent itself discovers, evaluates, and uses a tool without the human initiating each step. You will be the first marketing person dedicated to this motion at Cloudinary. Your job is to make AI agents independently discover, recommend, and use Cloudinary, and to build the measurement infrastructure to prove it’s happening. What You’ll Own This is not a strategy role. You ship weekly across four workstreams: - MCP Infrastructure: Optimize how agents understand and interact with Cloudinary’s MCP tools. You’ll own tool metadata, error responses, registry presence, and package discoverability. - Agent Testing & Benchmarking: Systematically test how major agent platforms recommend Cloudinary vs. competitors. Track inference share over time and identify gaps. - Dashboard & Measurement: Build and maintain the reporting infrastructure that ties agent activity to registrations and product usage. Define the AX funnel and own the numbers. - Agent-Facing Content: Create and maintain pages, structured data, and example repos optimized for agent consumption—not human browsing. Required Skills - These are non-negotiable. You cannot do this job without them. 1. MCP & Agent Ecosystem Fluency - You understand what MCP (Model Context Protocol) is, how MCP servers work, and how agents discover and connect to them. - You can read and edit MCP tool descriptions, JSON schema configs, and registry metadata without engineering support. - You have hands-on experience with at least 2 major AI coding agents and use them in your own workflow. - You understand how agents decide which tools to call—tool descriptions, parameter schemas, and error responses are your optimization surface. 2. Technical Comfort (APIs, CLIs, Logs) - You can write and run queries against structured server logs to pull connection and usage metrics. - You are comfortable with npm: publishing packages, updating metadata, reading download stats. - You can use Git and GitHub: clone repos, edit files, open PRs, create example repos. - You can work with REST APIs, understand OAuth flows, and read/write JSON configurations fluently. 3. Analytics & Measurement - You can set up and maintain analytics custom reports, configure events, and build funnel analyses. - You understand attribution modeling, especially the challenge of attributing signups to agent interactions that don’t generate traditional web traffic. - You can build and maintain a tracking dashboard. Data discipline matters more than tooling. - You think in funnels: discovery → connection → usage → registration → adoption. 4. Growth Mindset & Experimentation - You naturally think in A/B tests: which copy, which metadata, which structure drives better outcomes? - You can design, run, and interpret experiments without a data science team. - You ship weekly. Strategy without execution is a document no one reads. 5. Content for Machines, Not Humans - You understand how agents consume content: structured data, direct answers, code examples up front. - You can write technical documentation optimized for agent parsing—clear headings, explicit capability statements, comparison callouts. - You know the difference between content that ranks in Google (SEO) and content that gets cited by agents (GEO)—and can create both. Preferred Skills - Experience with media management APIs (image/video upload, transformation, delivery). - Familiarity with GEO tools: Profound, Otterly.AI, Ahrefs Brand Radar, or similar. - Prior experience in developer relations, developer marketing, or developer tools growth. - Understanding of the competitive landscape in cloud media management. - Experience building or contributing to MCP servers. - Working knowledge of Python scripting for data analysis and automation.