Product Operations Lead

Job description

### **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.