Product Operations Lead

Product Operations Lead Israel CTO Full-time

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.