Cloudinary

ABOUT THE ROLE We are looking for a Head of MIS to lead and scale the systems backbone of our SaaS business. You will own the strategy, delivery, and operations across three functions: IT, Information Systems engineering, and AI Enablement. You will lead managers and specialists, set the technology roadmap for our internal systems and business applications, and drive automation and AI adoption across the company. This is a senior, high-ownership leadership role for someone who can operate at both the strategic and hands-on level - balancing reliability and security with the speed and experimentation a growing SaaS company needs. TEAMS YOU'LL LEAD • IT - led by an IT Manager, responsible for global IT operations, endpoint and device management, onboarding/offboarding, core SaaS platforms, and vendor management. • Information Systems Engineering - a team of systems engineers owning business applications, integrations, data flows, and the internal systems that run Sales, Finance, HR, and other functions. • AI Enablement - a team driving adoption of AI tools and building internal automations and copilots that make every department more productive. WHAT YOU'LL DO • Own the MIS strategy & roadmap - define and execute the vision for IT, information systems, and AI enablement, aligned to company growth and business priorities. • Lead and grow the organization - manage the IT Manager, Information Systems engineers, and the AI Enablement team; hire, mentor, set goals, and build a high-performing, service-oriented culture. • Own business systems & applications - govern the architecture, integration, and lifecycle of core business systems (e.g., CRM, ERP, HRIS, Finance) and the data flows between them. • Drive AI & automation adoption - identify high-impact opportunities to apply AI and automation across the company, and lead the AI Enablement team in delivering tools, copilots, and workflows that raise productivity. • Ensure reliable, secure IT operations - oversee global IT delivery, endpoint and identity management, and employee support through the IT function, partnering closely with Security. • Governance, security & compliance - establish policies, access controls, and controls for systems and data; support audit and compliance requirements (e.g., SOC 2, GDPR). • Budget & vendor management - own the MIS budget, technology spend, and strategic vendor, consultant, and outsourcing relationships across all three functions. • Data & reporting - ensure the business has trustworthy systems data and reporting to support decision-making across departments. • Cross-functional partnership - act as the systems partner to Sales, Finance, HR, R&D, and other leaders; translate business needs into scalable systems solutions. WHAT YOU'LL BRING • Proven leadership experience in MIS / IT / business systems within SaaS or technology companies, including managing managers and multi-disciplinary teams. • Experience leading IT operations, information systems engineering, and business applications at scale in a distributed environment. • Demonstrated experience driving AI and automation adoption, with a track record of delivering measurable productivity or efficiency gains. • Strong understanding of core business systems (CRM, ERP, HRIS, Finance) and their integration and data architecture. • Solid grounding in IT security, governance, and compliance (IAM, endpoint/MDM, SOC 2, GDPR). • Excellent leadership, communication, and stakeholder-management skills, with experience partnering with executives and supporting remote / multi-site teams. • Strategic and hands-on: able to set direction and roadmaps while staying close enough to systems and delivery to make sound technical decisions. • Budget ownership experience and a track record of managing vendors, consultants, and outsourced partners. NICE TO HAVE • Experience scaling MIS/IT in a high-growth, globally distributed SaaS company. • Hands-on familiarity with AI/LLM tooling, automation platforms, and internal copilot development. • Experience owning systems through compliance audits (SOC 2, ISO 27001). • Relevant degree or certifications (e.g., ITIL, PMP, cloud or security certifications).

About the Role We are seeking a Product Operations Lead to play a key role in product launches, planning processes, AI adoption and operational efficiency. This role will ensure product availability, process optimization, and KPI tracking, working cross-functionally with Product, Engineering, Marketing, and Customer Success teams. The ideal candidate will drive seamless product delivery, scale best practices, and enhance the product management lifecycle. Key Responsibilities Product Launch & Go-to-Market Readiness • Drive cross-functional product launch planning, ensuring clear responsibilities and execution timelines. • Develop together with Product Marketing scalable launch playbooks to standardize and optimize the GTM process. • Track and measure launch success through key metrics such as adoption, usage, and retention. • Ensure internal teams are enabled with product documentation, updates, release notes and other enablement principles • Partner with Customer Success to optimize post-launch support and user experience. • Monitor product readiness and ensure alignment between Product, R&D, Support and GTM teams. AI & Builder Approach • Work AI-first - use Claude and the connected stack (JIRA, Confluence, Vitally, Gong, Slack) as the default method for drafting, analysis, and synthesis, not an occasional shortcut. • Build the tooling you need. Ship lightweight internal tools - scripts, agents, digests, dashboards - that remove recurring manual work in release and launch operations, without waiting for an engineering roadmap slot. • Contribute to Product Brain, our internal AI knowledge layer, and design operational workflows that pull context from connected systems rather than reassembling it by hand each cycle. • Own AI adoption within Product Operations - find the manual work a system should be doing, prototype the replacement, and prove it works before asking anyone to adopt it. • Apply judgment on where automation belongs. Know which decisions, escalations, and communications need a human, and keep those human. KPI Tracking & Operational Excellence • Define and track key performance indicators (KPIs) to measure release and launch effectiveness. • Identify and implement process improvements to enhance speed and efficiency. • Leverage data insights to drive continuous optimization of product operations workflows. • Own and optimize tooling and dashboards to provide real-time visibility into product health. • Partner with R&D to streamline deployment workflows, product maintenance and incident response guidelines. Qualifications & Experience Required Skills & Experience • At least 7 years in Product Operations, Business Development or Product Lifecycle Management within a SaaS or technology-driven company. • Experience with feature or Product delivery, value driven decision making and coordinating product launches and releases. • Experience in agile & kanban development, release processes, and change management. • Hands-on daily use of AI tools in real work, with concrete examples of what changed as a result. • Proficiency in JIRA, Confluence, or similar release tracking tools. • Data-driven mindset with experience in tracking and analyzing product performance metrics, overseeing execution strategy and tactical improvements • Comfortable contributing to engineering discussions around technology decisions and strategy related to a product pipeline • Excellent communication, collaboration, and stakeholder management skills. Desired Skills • Knowledge of SaaS business models, pricing strategies, and GTM execution. • Familiarity with customer adoption and retention analytics. • Experience working with API-first or developer-focused products. • Experience building internal tools or automations that other teams actually adopted. • Familiarity with LLM-based workflows — prompt and agent design, MCP connectors, or similar. Success Metrics • Efficient and predictable releases, with minimal delays or incidents. • Stronger cross-functional coordination, improving launch readiness. • Standardized product operations processes, improving efficiency and scalability. • Data-driven decision-making, leveraging insights to optimize release and launch performance. • Higher product adoption rates, increasing user engagement and retention. • Reduced manual operational load, with recurring coordination and reporting work replaced by AI-assisted workflows and internal tooling.

About the Role We're looking for a Senior AI Solutions Builder to join our Product - CTO Ops team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization. You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work. You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth. What You Will Do • Design and ship AI-powered copilots, agents, and decision-support tools for the product team, starting with pricing • Build data pipelines and analytical models for pricing intelligence • Develop autonomous agents that automate recurring product tasks • Automate manual workflows across product tools so the right action happens when a signal fires • Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone • Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building • Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale • Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes You Bring • Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments • Builder / vibe coder mindset uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket • Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment • Ability to connect systems independently: APIs, webhooks, data pipelines • Strong communication and collaboration skills across diverse teams • Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment • Comfortable learning and applying new technologies, tools, and methodologies Nice To Have • Experience in pricing, monetization, revenue analytics, or usage-based commercial models • Background in Product work • Familiarity with causal inference, A/B experimentation, or uplift modeling • Comfortable with analytics platforms (Heap, GA4, Mixpanel, Amplitude) and PM tools (Jira, Confluence, Productboard, etc.) • Experience working in a distributed, multicultural environment

Cloudinary is the media experience platform trusted by millions of developers and thousands of companies — from fast-growing startups to the world's largest brands — to power the images and video behind their digital experiences. Something fundamental is changing about who uses that platform. Increasingly, the "developer" calling our APIs isn't a person — it's an agent: an LLM, a coding assistant, an autonomous pipeline acting on a human's behalf. Our Agent Experience (AX) R&D team exists to make Cloudinary the default media layer those agents run on. Our guiding principle is simple: make agentic workflows work flawlessly with no friction. We're a small, fast, high-ownership team, and we're looking for a Senior Backend Engineer to make Cloudinary work for agents — both by building new agent-facing infrastructure and by reshaping our existing platform for a world where the caller is a machine. Some of this is greenfield. Much of it is taking APIs, auth, and SDKs and making them ergonomic, legible, and reliable for agents. It’s a problem the whole industry is still figuring out. You’ll help define what great API design looks like when the caller is not a human developer, but an agent acting on their behalf. What you'll do • Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution. • Own our MCP (Model Context Protocol) servers and an agent-first CLI — let coding agents and LLMs discover and invoke Cloudinary reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones. • Harden the agent media path — make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task. • Make agent behavior measurable — partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding. • Work across a polyglot backend — Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform. • Ship, measure, iterate — prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team. About you • 10+ years building and operating production APIs, SDKs and Backend systems and at scale. • Strong in Node.js/TypeScript, and comfortable working in (or quickly ramping on) Ruby/Rails and/or Go. • Deep API and protocol design fundamentals — authentication (OAuth, API keys, scoped permissions), versioning, idempotency, rate limiting, clean contracts. • Genuine curiosity about agents and LLMs and how they're reshaping how software gets built and run. • Solid distributed-systems and cloud instincts (AWS or equivalent). • A bias for ownership in ambiguity — you scope the problem, not just the solution, and you ship. • Strong written communication — it matters more than usual when your consumers are machines and your teammates are distributed. Advantages • Hands-on experience with MCP, LLM tool/function-calling, or building AI-/agent-native products. • Experience building SDKs, CLIs, or developer tools that other engineers depend on. • Background in media, imaging, or video processing/delivery. • Open-source contributions in the agent or developer-tooling ecosystem. Cloudinary is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #LI-SL1

Cloudinary is looking for a Corporate Controller to join our Finance team and take a key role in our global accounting operations. This is a high-impact, hands-on position with broad ownership across Cloudinary’s global entities. You’ll lead core accounting and reporting processes, work closely with stakeholders across the organization and around the world, and help ensure our financial operations remain accurate, efficient, and scalable. We’re looking for someone who combines strong technical accounting expertise with a practical, collaborative mindset - someone who enjoys taking ownership, improving the way things are done, and using technology and AI to make financial processes smarter and more efficient. Key Responsibilities • Own and oversee global accounting operations across Cloudinary’s group entities, ensuring compliance with US GAAP and applicable local accounting requirements. • Lead the monthly financial close process across all group entities, ensuring accurate and timely reporting. • Lead the preparation of annual consolidated financial statements in accordance with US GAAP. • Own and coordinate the annual external audit processes, working closely with our external auditors and internal stakeholders. • Own and coordinate annual tax filings for domestic entities and work with local accounting and tax firms supporting our international subsidiaries. • Partner with Finance and cross-functional stakeholders to continuously improve accounting processes, controls, and operational efficiency. • Leverage AI and automation tools to streamline accounting, analysis, reporting, and day-to-day financial workflows. • Work hands-on with our ERP and financial systems, including NetSuite, to support accurate and scalable accounting operations. What We’re Looking For • CPA with a Big 4 background and experience working with technology/high-tech companies. • Proven experience as a Controller or in a similar senior accounting role within a global organization. • Strong hands-on experience managing accounting operations across multiple entities and jurisdictions. • Experience leading consolidation and financial statement preparation in a global environment. • Strong technical accounting expertise and in-depth knowledge of US GAAP. • A technology-oriented mindset, with experience using AI tools to improve accounting, analysis, reporting, or other financial workflows. • Hands-on experience with NetSuite ERP - a strong advantage. • Excellent interpersonal and communication skills, with a collaborative and team-oriented approach. • Strong ownership mentality, attention to detail, and the ability to manage multiple priorities in a dynamic environment. • Fluent English, both written and spoken. This position is a maternity leave replacement for approximately 8 months.

Role Overview The Senior Global Corporate Program Management is the execution leader for corporate-wide programs that connect corporate strategy, technical delivery, and operational performance. Reporting to the VP of Global Corporate Operations, this role converts complex executive priorities into clear plans, accountable owners, measurable outcomes, and durable operating mechanisms. The role partners across R&D, Engineering, Cloud Infrastructure, Product, Go-to-Market, Finance, Legal, People, IT, and Data. It is designed for a technically fluent operator who can move comfortably between API-first platform environments, SaaS business metrics, executive decision-making, and global change adoption. What This Role Owns • Corporate program portfolio intake, prioritization, delivery governance, and outcome measurement. • A consistent lifecycle for cross-functional initiatives from incubation through execution and handoff to steady-state owners. • Planning cadence, dependency visibility, capacity trade-offs, and executive reporting across the global corporate portfolio. • Operational systems that connect product usage, commercial performance, financial data, and program health into trusted decision support. • Practical AI-enabled workflows that improve planning quality, communication speed, and execution discipline. Key Responsibilities Corporate Program and Portfolio Leadership • Own program intake, prioritization, scoping, execution, risk management, and benefits realization from idea through completion. • Link technical and operational initiatives to business outcomes such as ARR growth, NRR, gross-margin protection, customer time-to-value, and productivity. • Manage a portfolio view of milestones, dependencies, investment, capacity, decisions, and realized impact. Cross Functional Lifecycle Governance • Lead a practical three-stage lifecycle: Incubate, Execute, and Hand Off. • Turn ambiguous executive priorities and urgent special projects into structured 30-60-90 day plans with explicit owners and decision rights. • Ensure that programs transition cleanly into accountable operating teams with documented processes, metrics, and support models. Annual Planning and OKR Alignment • Co-own the annual operating planning cycle with Corporate Operations, Finance, R&D, Go-to-Market, and executive leadership. • Manage planning calendars, submission guidance, dependency mapping, capacity assumptions, and budget consolidation. • Facilitate quarterly OKR setting, tracking, scoring, and retrospectives across business units; surface and resolve cross-functional bottlenecks. Executive Visibility and Decision Support • Design portfolio reporting, C-suite dashboards, and board-ready materials that provide timely visibility into health, milestones, risks, and decisions. • Establish a consistent reporting language and source-of-truth definitions for program and business performance. • Create concise escalation paths that help leaders make trade-offs quickly and transparently. Capacity, Standards, and Change Management • Maintain a capacity baseline across engineering, program management, and key corporate functions; identify overcommitment early. • Establish practical execution standards, including initiative one-pagers, RAID logs, stage-gate checklists, and decision registers. • Lead adoption of new operating playbooks, technical handoffs, and Go-to-Market processes across US, EMEA, and APAC. Required Qualifications • 8+ years of progressive experience in Technical Program Management, Corporate Program Management, Business Operations, or a related operations leadership function in a scaling SaaS or technology company. • Experience establishing portfolio management practices, corporate PMO standards, or operating rhythms that improve speed without adding unnecessary bureaucracy. • Track record of leading complex, multi-team programs and influencing executives, VPs, and senior technical leaders without direct line authority. • Working knowledge of SaaS operating metrics, including ARR, NRR, gross margin, CAC, retention, customer time-to-value, and the relationship between product telemetry and financial systems. • Demonstrated ability to structure ambiguous problems, make trade-offs visible, and create executable plans with clear outcomes. • Excellent written and verbal communication, including the ability to prepare concise executive and board-level materials. • Bachelor’s degree in Industrial Engineering, Information Systems, Business, or equivalent practical experience. Preferred Qualifications • Experience in a developer-first, API-first, cloud infrastructure, data platform, or media technology company. • Experience supporting a company through a high-growth phase, public-company readiness, or a significant operating-model change. • Familiarity with Jira, Confluence, Salesforce, NetSuite, Snowflake, Looker or similar analytics tools, and AI-enabled workflow platforms. • Strong technical fluency across API-based platforms, cloud infrastructure, software delivery practices, data systems, and corporate applications; able to engage credibly with Engineering and Architecture leaders.

Who We Are Our team is building a new product within Cloudinary, focused on large scale visual moderation. It is a fast moving, high impact effort that is already attracting interest from major customers. We operate like a small startup inside Cloudinary, which means: • Full independence in technical and product decisions • Freedom to build things the way we want • The backing and stability of a well established, successful company • Strong people first culture with genuinely great teammates We own the full development lifecycle, from deciding what to build to how we build, ship, and operate it. The team is very small, highly focused, and fully hands on. Why This Role Is Different You will work on a backend system where scale, cost, and correctness all matter at the same time. You will have real architectural ownership, direct customer impact, and the freedom to move fast without heavy process. Few roles offer this combination inside a mature company. What You Will Do Own the Server Side Design, build, and evolve the server side of a moderation platform operating at scale, including: • High throughput async pipelines • Large volumes of images and videos • Multi tenant systems • Cost sensitive ML workloads • Agentic moderation workflows and AI-driven decision systems Ship Fast, Ship Smart Deliver value iteratively with a clear focus on customer and business impact. Move quickly without losing sight of long term architecture and operational quality. Set the Technical Foundation Make architectural decisions that scale over time. Use agentic development and code generation to accelerate delivery, while keeping engineering judgment, technical accountability, and code ownership firmly in human hands. Elevate Quality and Standards Build clean, modular, secure backend systems that are meant to live and evolve. Establish good engineering practices around testing, observability, reliability, and maintainability. Drive Innovation and Practicality Explore new ideas and approaches, but always ground them in real world constraints like latency, cost, and operational complexity. Who We Are Looking For Experienced Backend Engineer 10+ years backend experience owning and delivering production systems. Strong hands on coding skills and confidence working deep in the backend stack. Languages and frameworks do not slow you down. We use Python. Cloud Native Strong experience building and operating cloud based systems, preferably on AWS. Hands on experience with distributed systems, async processing, queues, workflows, and production monitoring. Independent, Collaborative, and Comfortable with Ambiguity You thrive in low-process environments and communicate clearly and take ownership of outcomes, not just implementation. You can step into new domains, work through messy problems, and make fast progress while collaborating effectively with engineers, PMs, and stakeholders across the company. A Great Teammate You value clear communication, trust, humor, and helping build a strong and supportive team culture. #LI-SL1