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Lead Product Manager (Product Operations)
Requirements
- 7+ years of experience in product, product operations, or business operations roles, specifically within SaaS product organizations (B2B/B2C), with direct experience in a high-growth tech environment ,
- Proven track record in hands-on operational execution, process improvement, and cross-functional collaboration ,
- Ability to function well in a fast-paced environment ,
- Demonstrated ability to work through ambiguity to a detailed solution–taking a problem, identifying a path forward, and driving an initiative through ,
- Demonstrated empathy and deep understanding of Product, Engineering, and Design team needs, with the ability to build trust and drive operational excellence from within these teams ,
- Strong analytical, technical, and stakeholder management skills, capable of influencing and driving alignment across teams ,
- Practical experience implementing and managing AI-driven tools and solutions within product operations ,
- Data-oriented approach, adept at synthesizing complex operational data into actionable insights ,
- Experience with modern product management tools (e.g., Jira, Productboard, Coda) and analytics platforms
What the job involves
- As a Lead Product Operations Manager at Klaviyo, you'll be an essential player in shaping the future of Klaviyo through innovative product lifecycle tools, particularly through leveraging AI technologies ,
- Your hands-on leadership and collaborative spirit will deeply connect you to our R&D teammates, empowering them through efficient operational solutions that unlock Klaviyo's potential as a world-class, AI-first R&D organization ,
- Please note this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time ,
- Hands-on Operational Leadership: Directly manage, optimize, and execute operational solutions and tools essential to our R&D teams, from strategic planning through to execution and delivery, emphasizing hands-on implementation and iteration ,
- Design Lightweight, AI-First Processes: Create and champion innovative, AI-driven processes and operational models that are lightweight, intuitive, and designed to avoid bureaucracy, significantly increasing velocity and maximizing business impact ,
- Drive Transparency and Alignment: Collaborate closely with Product, Engineering, Design, Analytics and Klaviyo’s broader Go-To-Market teams to maintain clear prioritization, visibility on roadmaps, and aligned execution of key initiatives and OKRs ,
- Establish a Single View of Progress: Actively manage and maintain real-time product roadmaps, dashboards, KPIs, and reports, becoming the operational heartbeat that informs decisions, tracks progress, and identifies trade-offs ,
- Enable High-Quality Delivery: Lead practical initiatives to enhance product quality, accelerate PDLC velocity, and foster cross-team collaboration. Personally drive the implementation of metrics and continuous improvement efforts ,
- Empathy-Driven Collaboration: Embed deeply within our R&D organization, bringing empathy and understanding to operational decisions and processes, and fostering a culture where operational practices directly support team success and wellbeing ,
- AI-Driven Technical Enablement: Champion and implement AI-first solutions and tools, empowering the Product teams with technologies that streamline processes, enhance product usage insights, and significantly boost team productivity and effectiveness ,
- Customer-Centric Execution: Hands-on management of feedback loops in collaboration with Customer Experience, Sales, and Marketing, ensuring operational decisions and prioritizations reflect customer needs and insights ,
- Operational Data & Insights: Create and manage actionable dashboards and analytical tools that proactively identify bottlenecks, productivity insights, and inform strategic decisions