K

Klaviyo

Builds marketing software for consumer brands

Senior Product Manager - Personalization ML Products

Product ManagementConfirmed live in the last 24 hours
Full-timeBoston, MA, USA$136k - $204k

About the Job

Requirements

  • Have 3–5+ years of product management experience owning machine-learning-powered or data-driven product features in a production environment.
  • Have direct experience evaluating and tracking machine-learning model performance, including lift measurement, experiment design, and model quality tracking.
  • Be able to partner with software engineering and machine-learning modeling or data science teams and make informed decisions across both disciplines.
  • Understand why brands pay for machine-learning features and translate customer understanding into roadmap decisions.
  • Have instincts for human behavior and user experience and be able to design trust, clarity, and adoption into potentially opaque or unpredictable features.
  • Be comfortable working with complex data structures, such as product catalogs, and turning them into simple customer-facing controls.
  • Take ownership of outcomes and engage partners even when they do not report to you.
  • Have a track record of driving cross-functional alignment and shipping through ambiguity without relying on direct authority.

Responsibilities

  • Own the Product Recommendations roadmap, including model type selection, catalog data structure decisions, and enterprise-grade customization such as filters, guardrails, and exclusions.
  • Own the Message Prioritization roadmap, defining how the model balances message frequency limits against conversion and revenue outcomes.
  • Define model success for each feature area and build frameworks to measure lift, conversion improvement, and revenue impact over time.
  • Partner with machine-learning modeling and software engineering teams to translate model capabilities into features customers trust and adopt.
  • Design product experiences that make machine-learning-driven decisions understandable and explainable to marketers.
  • Influence teams beyond direct authority to align priorities and deliver feature outcomes.
  • Own model and feature performance after launch.
  • Develop a point of view on why brands pay for machine-learning-powered personalization features and use it to shape future product development.
  • Take ownership of additional machine-learning-powered feature pods as the personalization portfolio expands.

Desired Qualifications

  • Experience with recommendation systems or catalog-driven machine-learning products.
  • Experience with message optimization, cadence, or frequency-capping problems.
  • Background in marketing technology, ecommerce, or customer data platform products.
  • Experience building enterprise-grade customization layers, including filters, guardrails, and business rules, on top of machine-learning models.
  • Experience as an embedded product management partner to a data science or machine-learning engineering team.

About the Company

Klaviyo

Builds marketing software for consumer brands

Klaviyo builds customer relationship software for consumer brands, combining marketing, customer service, analytics, and a customer data platform in one system. Its platform draws on shoppers' purchases, browsing, and message activity to create customer profiles that brands use to personalize communications. Businesses use these profiles to automate email, text, WhatsApp, and mobile push campaigns, while AI agents create marketing work and answer customer questions. Klaviyo earns subscription fees based on active customer profiles, message volumes, and service activity, rather than charging for each employee who uses the software. Founded in 2012, the company is headquartered in Boston, Massachusetts.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Boston, MA
Founded
2012

Recently Posted Jobs

Explore more opportunities at Klaviyo

See more jobs