Cloudinary is now the foundational technology for all images and videos on the internet. Only we provide robust, flexible, and intelligent solutions for every business in the world to harness the power of visual media to tell its story. As a single source of truth for brands’ image and video needs, we also provide a comprehensive array of APIs and integrations to transform every brand into a masterful visual storyteller. Our product is trusted by more than 3 million developers, reflecting its wide acceptance and impact.
If images and video are the electricity powering the new digital world, Cloudinary is the power grid: enabling anyone to easily plug in and “light up” their business with high-impact visual media, without worrying about the science behind the electrical current.
Want to shape how the world’s leading brands use Cloudinary’s DAM (Digital Asset Management)?
We’re looking for a Lead Product Manager (DAM) with a strong SaaS background and a practical passion for AI. You’ll own major parts of our DAM experience and platform, helping customers move faster from content creation to activation, with higher adoption and measurable business impact.
In this role, you’ll lead end-to-end initiatives across the DAM lifecycle: ingestion, collaboration and approvals, content lifecycle workflow, secure sharing, and external content activation. You’ll also collaborate with adjacent teams on metadata/search and integrations where needed.
Responsibilities
Own a significant product area within Cloudinary DAM: define the strategy, roadmap, success metrics, and execution plan - from discovery to GA and adoption.Translate customer problems and business goals into crisp product bets: PRDs, user journeys, edge cases, phased delivery plans, and clear “what good looks like.”Drive customer obsession at scale: lead discovery with design partners, validate problems, run pilots, and turn learnings into roadmap decisions and shipped outcomes.Partner tightly with Engineering, Design, Data/Analytics, and Technical Writing to deliver high-quality experiences with strong UX, reliability, and performance.Work cross-functionally with Sales, Solutions, Support, Customer Success, and Marketing to support launches, competitive differentiation, expansion, and adoption - and actively participate in strategic sales cycles (discovery, solution shaping, exec alignment) to help close key deals.Evaluate and manage third-party/partner capabilities where needed (including white-label components), balancing build vs. buy, cost, time-to-value, and long-term maintainability.Develop a deep understanding of DAM personas and workflows (creatives, marketers, brand teams, operations, agencies, IT/security), and design for real day-to-day constraints.Build industry-leading AI agents and agentic experiences that measurably improve customer ROI and reduce content time-to-market (TTM).Use AI thoughtfully to improve outcomes (e.g., approvals, workflow, activation), with a strong bar for trust, quality, and safety.Work closely with adjacent product teams to align on shared workflows and platform dependencies - without owning their roadmaps.Requirements
5+ years of Product Management experience owning a SaaS product area end-to-end.Demonstrated ability to drive measurable business impact (e.g., adoption, retention, expansion, pipeline/ARR influence), not just ship features.Strong customer-facing skillsmuscle: discovery, validation, and active involvement in strategic deals and escalations.Proven execution leadership: can align stakeholders, make tradeoffs, and deliver iteratively at high velocity in ambiguous environments.Bias to ship: chooses momentum over perfection and drives rapid releases that move metrics.High proficiency with AI concepts and productization: can identify where AI creates leverage, define evaluation/quality bars, and ship responsibly.Strong understanding of the product development lifecycle: strategy, requirements, UX/UI collaboration, engineering execution, QA/release readiness, and iteration.Agile mindset with the ability to improve team execution (prioritization, clarity, cadence, feedback loops).Excellent written and verbal English communication.Bachelor’s degree in computer science or equivalent.Advantage
Experience with DAM and/or adjacent systems (CMS, PIM, eCommerce platforms) and the realities of content operations at scale.Hands-on builder mindset: shipped production experiences leveraging AI (even if not writing all the code).Experience with AI agents / agentic workflows, orchestration, or automation-heavy products.#LI-SL1
