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Open nowPosted 22 days ago

Product Operations Lead

Cloudinary8 open roles

Where
Israel
Work mode
Hybrid
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Your applicationOpen nowProduct Operations LeadCloudinary · Israel

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Cloudinary postings stay open a median of 10 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 22 days ago

Cloudinary median: 10 days open

The posting

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

  • 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.
  • 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.
  • 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

  • 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.
  • 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.
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