<div><p><em>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 <a href="https://careers.klaviyo.com/en/" target="_blank">careers.klaviyo.com</a> to see how we empower creators to own their own destiny.</em></p></div><p>We’re looking for someone who thrives at the intersection of data and product — someone who brings solid analytical skills, experience with experimentation, and curiosity to uncover insights that shape product strategy. You should be comfortable working with SQL and R or Python, designing and analyzing A/B tests, and translating data into actionable recommendations for product teams. <strong>Please note that this is a hybrid role that requires 3 days/week in our San Francisco office. Fully remote candidates will not be considered at this time. </strong></p> <h3><strong>What You’ll Do</strong></h3> <ul> <li>Partner with product and engineering teams to evaluate product opportunities through A/B testing, data analysis, and customer insights</li> <li>Contribute to the design, implementation, and analysis of experiments — ensuring correct setup, sufficient power, and clear interpretation of results</li> <li>Conduct exploratory analyses to uncover patterns in customer behavior and product usage that inform product strategy</li> <li>Define and track product and customer metrics to measure success, and help build dashboards and reporting that make insights accessible to product managers and stakeholders</li> <li>Collaborate with data engineering to ensure data pipelines and DBT models are accurate, reliable, and well-structured for downstream use</li> <li>Communicate insights in a clear, compelling way to cross-functional partners, making data actionable for product decisions</li> </ul> <p><strong>Who You Are</strong></p> <ul> <li>You have 2-4 years of experience in product analytics, data science, or applied statistics, preferably in a SaaS or product-focused environment</li> <li>You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering</li> <li>You are proficient in SQL and have experience using either Python or R for data analysis</li> <li>You have hands-on experience with A/B testing and statistical analysis, and are motivated to grow into more advanced methods over time</li> <li>You bring strong business intuition and curiosity, and can translate questions into structured analytical approaches</li> <li>You’re a clear communicator who can frame findings for both technical and non-technical audiences</li> <li>You enjoy working cross-functionally and are energized by using data to improve customer outcomes</li> </ul> <h3><strong>Why You’ll Love This Role</strong></h3> <ul> <li>Gain hands-on experience influencing product direction through experimentation and analytics</li> <li>Build your expertise in product data science with mentorship and collaboration from senior data scientists</li> <li>Join a company where data science is a core part of the product development lifecycle</li> <li>Be part of a culture that values analytical rigor, collaborative problem-solving, and continuous learning</li> </ul> <p>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 careers.klaviyo.com to see how we empower creators to own their own destiny.</p> <p> </p> <p>We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbound</a> on April 3, 2025.</p> <p>Please see the independent bias audit report covering our use of Covey <a href="https://getcovey.com/nyc-local-law-144">here</a></p><div><div><div><p><strong>Massachusetts Applicants:<br /></strong>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.</p> <hr /> <p>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.</p> <p>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. Please visit <a href="https://klaviyorewards.com/">Klaviyo Rewards</a> to find out more about our Total Rewards package.</p> <p>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.</p></div><div>Base Pay Range For US Locations:</div><div><span>$72,000</span><span>—</span><span>$108,000 USD</span></div></div></div><div><p><strong>Get to Know Klaviyo</strong></p> <p>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.</p> <p><em>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.</em></p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div><em>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.</em></div> <div> </div> <div><strong>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.<em>  </em></strong><em>You can find our Job Applicant Privacy Notice </em><em><a href="https://www.klaviyo.com/legal/job-applicant-privacy-notice" target="_blank">here</a></em><em> and <a href="https://www.klaviyo.com/fr/legal/job-applicant-privacy-notice">here</a> (FR).</em></div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div></div>