Senior Product Manager, Profiles Platform

Senior Product Manager, Profiles Platform

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

The Profiles Platform team owns Klaviyo's core customer data system, the foundation that powers every product experience across the platform. This team is responsible for storing, managing, and serving customer profile data as the source of truth for downstream products like segmentation, flows, reporting, and analytics. Their work ensures that profile data is accurate, scalable, and usable across the entire product ecosystem. From improving data modeling and computed properties to enabling enterprise-scale ingestion and supporting global compliance needs, this team plays a critical role in making Klaviyo's platform intelligent and reliable at scale.

We're looking for a Senior Product Manager to own the strategy and roadmap for Klaviyo's Profiles Platform. In this role, you will define how customer profile data is structured, processed, and served across the platform. You'll work at the intersection of data infrastructure, computed data, and scalability, ensuring that profile data remains trustworthy and performant as Klaviyo grows into more complex enterprise and global use cases. This is a high-impact platform role where your work will directly influence nearly every product team and customer experience. 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.

Own the strategy and roadmap for Klaviyo's core profile data system, including profile traits, transformations, and storage layers

Serve as the product owner for the source of truth for customer data across the platform

Partner closely with engineering to evolve profile data architecture and services at massive scale

Collaborate with the Identity, Data, and Consent teams to ensure accurate and unified customer records

Drive improvements in profile data quality, usability, and modeling for downstream consumers (segmentation, flows, analytics, AI)

Enable enterprise and global expansion by supporting data residency, compliance, and regional infrastructure requirements

Define and track key metrics around data quality, performance, and system efficiency

Building a computed properties platform to support derived traits (e.g., LTV, recency/frequency, propensity scoring)

Improving profile data modeling and transformations to make data more usable across the platform

Scaling ingestion systems to support billions of profiles and high-throughput workloads

Reducing cost and improving performance through sharding, traffic smoothing, and optimized write patterns

Supporting identity quality initiatives (e.g., deduplication, multi-email profiles, probabilistic matching)

Enabling regulated and global use cases, including data residency (e.g., EU, Japan) and compliance requirements

You have 6+ years of product management experience, ideally in platform, data infrastructure, or backend systems

You have experience working on data models, pipelines, or large-scale distributed systems

You are comfortable operating in highly technical environments and partnering closely with engineering

You have experience driving cross-team alignment across multiple stakeholders

You think in terms of systems and tradeoffs (scale, cost, performance, usability)

You can balance long-term platform investments with short-term product needs

You communicate clearly and can translate complex technical concepts into business impact

Experience with customer data platforms (CDPs) or identity systems

Familiarity with data modeling, event pipelines, or storage systems (e.g., KVS, streaming ingestion)

Experience supporting enterprise-scale or high-volume systems

Exposure to AI/analytics platforms that depend on structured customer data

Experience with data residency, privacy, or compliance (e.g., GDPR, HIPAA)

Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations: $136,000 — $204,000 USD

This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.