Senior Product Manager, Product Experience

Klaviyo•Boston, MA

3h•$136,000 - $204,000•Hybrid

About The Position

We are seeking a Senior PM, Product Experience & AI Enablement to lead the strategy and development of intelligent internal product platforms that transform how our product and engineering teams plan, build, launch, and measure product changes. In this role, you will own the systems, workflows, and AI-powered experiences that shape the end-to-end product development lifecycle across the organization. You will partner closely with Product, Engineering and GTM teams to design and deliver internal tools that improve efficiency, increase transparency, reduce operational friction, and unlock new levels of productivity through AI-driven automation and insights. Rather than focusing solely on customer-facing features, this role treats internal teams as customers. You will apply product management principles to improve internal platforms, integrate systems across our product stack, and embed AI capabilities into workflows to help teams move faster, make better decisions, reduce manual work, and scale more effectively. Your work will directly impact how efficiently Klaviyo teams ship product improvements, leverage AI in their day-to-day workflows, and deliver value to customers at scale. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.

Requirements

5+ years of product management experience working on internal platforms, developer tools, operational systems, or AI-enabled workflow products.
You deeply understand the product development lifecycle and have experience building systems that support planning, development, experimentation, release management, and measurement workflows.
You are excited about applying AI to improve how teams work and have experience evaluating or implementing AI-driven tooling, automation, copilots, or workflow intelligence.
You are highly collaborative and able to align stakeholders across Product, Engineering, Infrastructure, Data, and GTM teams.
You use data and operational metrics to evaluate product outcomes and identify opportunities for optimization and automation.
You bring a systems-thinking mindset and understand how workflows, tools, data, and teams connect across an organization.
You are energized by improving developer and product team productivity through intelligent systems and AI-enhanced experiences.
You are comfortable operating in ambiguity and helping organizations define how AI should responsibly and effectively augment internal workflows.

Nice To Haves

Experience working in high-growth SaaS environments
Experience building or integrating AI copilots, workflow automation, or internal AI tooling
Familiarity with LLM-powered products, prompt workflows, or AI orchestration systems
Experience with developer productivity or developer experience platforms
Background in engineering, technical product management, data platforms, or developer tooling
Experience driving AI adoption and change management within product or engineering organizations

Responsibilities

Define and own the product strategy for AI-enabled internal platforms that support the full product development lifecycle.
Reimagine how teams move from product planning → development → launch → measurement through intelligent workflows, AI copilots, and integrated tooling.
Identify friction points, repetitive manual work, and operational inefficiencies, then deliver AI-driven solutions that improve productivity and decision-making.
Partner with engineering, infrastructure, and data teams to build scalable internal systems enhanced with automation, generative AI, and workflow intelligence.
Introduce AI-powered capabilities such as: Automated project and launch coordination, AI-generated summaries, documentation, and status updates, AI-assisted experimentation analysis and rollout recommendations.
Help define how AI is embedded into internal PM and operational workflows across the organization.
Drive adoption of AI-enabled tooling and establish best practices for AI-assisted product development workflows.
Serve as a thought partner on the future of AI-enabled product development operations and internal developer productivity.