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.
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.
As a Senior Engineering Manager, Machine Learning at Klaviyo, you will manage a team or multiple teams of Machine Learning and Full-stack engineers to build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, language modeling, recommender systems, and more to integrate artificial intelligence into our product and bring customers value. You will be a technical leader within the organization, helping to set the standard for excellence, growing talent and mentoring them for their career development. You should have broad and in-depth experience in machine learning or data science, especially in the domain of deep learning, recommender systems, NLP, generative AI, or related areas.
Things you’ll do & make a difference
- Directly responsible for managing a team or multiple teams of Machine Learning and Full-stack engineers.
- Developing SMART goals and career development plans for direct reports.
- Heavily involved in interviewing, hiring, and leveling up the team.
- Working with the team on project planning and defining achievements, identifying dependencies, and meeting business goals.
- Develop and execute comprehensive technical strategies that align with Klaviyo's business goals, ensuring products are not only exceptional but also aligned with the broader vision for a reliable and user-friendly AI/ML platform.
- Engage with external and internal stakeholders to understand their needs, resolve blockers, and handle expectations. Translate the customer’s needs into AI-driven roadmaps and solutions that add significant value to customers and the business.
- Advising the team on modeling & system design and implementation decisions
- Iterate and improve upon engineering wide processes like recruiting, performance development, communication, and agile development.
- Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo’s ecosystem.
What we are looking for:
- Managed and scaled a team with 15+ engineers with machine learning skills. Experience mentoring and growing engineering managers and technical leads.
- 7+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
- Exceptional communication skills, capable of collaborating with stakeholders from various backgrounds to translate the business / product roadmap into AI-driven technical roadmaps & solutions and add significant value to customers and the business.
- Deep understanding of the latest AI technologies and their application in business contexts, including deep learning, recommendation systems, NLP, generative AI, or related areas.
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Nice to have:
- Experience working in B2B businesses and interacting with customers directly
- Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions that impact the business.
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 Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
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. Please visit Klaviyo Rewards to find out more about our Total Rewards package.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
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.
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.