Product Operations Lead

About the Role

Key Responsibilities

Product Launch & Go-to-Market Readiness

• Drivecross-functional product launch planning, ensuring clear responsibilities and execution timelines.
• Develop together with Product Marketingscalable launch playbooks to standardize and optimize the GTM process.
• Track and measurelaunch success through key metrics such as adoption, usage, and retention.
• Ensure internal teams areenabled with product documentation, updates, release notes and other enablement principles
• Partner withCustomer Success to optimize post-launch support and user experience.
• Monitorproduct readiness and ensure alignment betweenProduct, R&D, Support and GTM teams.
AI & Builder Approach
• WorkAI-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 toProduct Brain, our internal AI knowledge layer, and design operational workflows that pull context from connected systems rather than reassembling it by hand each cycle.
• OwnAI 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.
• Applyjudgment on where automation belongs. Know which decisions, escalations, and communications need a human, and keep those human.

KPI Tracking & Operational Excellence

• Define and trackkey performance indicators (KPIs) to measure release and launch effectiveness.
• Identify and implementprocess improvements to enhance speed and efficiency.
• Leverage data insights to drivecontinuous optimization of product operations workflows.
• Own and optimizetooling and dashboards to provide real-time visibility into product health.
• Partner with R&D tostreamline deployment workflows, product maintenance and incident response guidelines.

 

Qualifications & Experience

Required Skills & Experience

• At least 7 years inProduct Operations, Business Development or Product Lifecycle Management within a SaaS or technology-driven company.
• Experience withfeature or Product delivery,value driven decision making andcoordinating product launches and releases.
• Experience in agile & kanban development, release processes, and change management.
• Hands-on daily use ofAI tools in real work, with concrete examples of what changed as a result.
• Proficiency inJIRA, Confluence, or similar release tracking tools.
• Data-driven mindset with experience intracking and analyzing product performance metrics, overseeing execution strategy and tactical improvements
• Comfortable contributing toengineering discussions around technology decisions and strategy related to a product pipeline
• Excellentcommunication, collaboration, and stakeholder management skills.

Desired Skills

• Knowledge ofSaaS business models, pricing strategies, and GTM execution.
• Familiarity withcustomer adoption and retention analytics.
• Experience working withAPI-first or developer-focused products.
• Experience buildinginternal tools or automations that other teams actually adopted.
• Familiarity withLLM-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.