[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Klaviyo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/1ba9baff-221.jpeg)](https://jobicy.com/company/klaviyo.md)Remote opportunity at[Klaviyo](https://jobicy.com/company/klaviyo.md) # Senior Product Manager, Profiles Platform Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/klaviyo.md)Share7 Sep 2026Published31Listing views2Application actions7 Oct 2026Apply before Opportunity details ## About this role. AI SummaryKlaviyo is hiring a Senior Product Manager to define the strategy and roadmap for its Profiles Platform, the core customer-data system underpinning product experiences across the company. The role owns profile data structures, transformations, storage, computed properties, and service scalability for downstream segmentation, flows, reporting, analytics, and AI use cases. The PM will partner deeply with engineering and Identity, Data, and Consent teams to improve data quality, performance, identity resolution, global compliance, and enterprise-scale ingestion. This is a high-impact onsite Boston position requiring strong technical product judgment, cross-functional alignment, and experience with large-scale data infrastructure. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis role requires ownership of a foundational platform that affects nearly every product team while balancing reliability, scale, cost, compliance, and usability. Success depends on technical fluency in distributed data systems and the ability to align numerous stakeholders around complex architectural tradeoffs. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$170,000US market range$145k–$215k0$237k AI insightThe disclosed US base-pay range is $136,000 to $204,000 USD yearly, with a midpoint of $170,000. This range is competitive for a senior technical product manager focused on data infrastructure and platform systems; the estimated broader US market range is $145,000 to $215,000 in annual base salary, excluding bonus, equity, and sign-on payments. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md)[Platform product management](https://jobicy.com/jobs?search_keywords=Platform%20product%20management.md)[Data infrastructure](https://jobicy.com/jobs?search_keywords=Data%20infrastructure.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Customer data platforms](https://jobicy.com/jobs?search_keywords=Customer%20data%20platforms.md)[Roadmap ownership](https://jobicy.com/jobs?search_keywords=Roadmap%20ownership.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md)[Data quality](https://jobicy.com/jobs?search_keywords=Data%20quality.md)[Privacy and compliance](https://jobicy.com/jobs?search_keywords=Privacy%20and%20compliance.md) Sample interview questionsHow would you prioritize investments between new computed properties, ingestion scalability, and profile-data quality improvements?I would start by quantifying customer impact, platform risk, strategic dependency, and engineering effort for each initiative. I would prioritize urgent reliability or compliance risks first, then sequence investments that unlock multiple downstream teams or enterprise use cases, using measurable outcomes such as latency, data accuracy, adoption, and cost per profile. Describe how you would approach improving identity resolution for profiles with multiple emails or duplicate records. I would define the target identity model and accuracy metrics with engineering, data, privacy, and downstream product teams. I would evaluate deterministic and probabilistic matching approaches, establish safeguards for false-positive merges, and roll out changes incrementally with monitoring, auditability, and clear customer-facing behavior. What metrics would you use to assess the health of a customer profile platform? I would track ingestion throughput and freshness, API and query latency, availability, data completeness and correctness, duplicate rates, compute success rates, storage and processing cost, and adoption by downstream products. I would pair system metrics with customer-impact measures such as segmentation accuracy and time to data availability. How do you communicate a complex data-architecture tradeoff to nontechnical stakeholders? I translate the decision into its customer and business consequences, clearly explaining what each option enables, its risks, and the expected timeline. I use concise visuals and decision documents, identify the recommendation and assumptions, and ensure stakeholders understand the metrics that will validate the outcome. Tell us how you balance long-term platform work with immediate feature needs from product teams. I create a transparent portfolio that reserves capacity for foundational reliability and scalability work while maintaining explicit commitments for customer-facing needs. By showing dependencies, cost of delay, and the impact of technical debt, I help teams make informed sequencing decisions rather than treating platform investments as invisible overhead. 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](http://klaviyo.com/careers) to see how we empower creators to own their own destiny. About the Team 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. About the Role 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 an onsite role that requires 5 days/week in our Boston office. Fully remote candidates will not be considered at this time. How You’ll Make a Difference * 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 What You’ll Work On * 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 Who You Are * 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 Nice to Have * 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) Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our [Guidelines for using AI in the Klaviyo interview Process](https://www.klaviyo.com/careers/ai-guidance). For more information about how we process your personal data, see our [Job Applicant Privacy Notice](https://www.klaviyo.com/legal/job-applicant-privacy-notice). Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking “Submit Application” you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice [here](https://www.klaviyo.com/legal/job-applicant-privacy-notice) and [here](https://www.klaviyo.com/fr/legal/job-applicant-privacy-notice) (FR). 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