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.

Product Operations Lead

Similar jobs

Explore related jobs

Similar jobs