Data Science Manager @ Klaviyo

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.

As the Data Science Manager for the ML Research team, you will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You’lll lead the ML Research team to apply cutting edge techniques from deep learning, language modeling, recommender systems, and more to generate value for our customers by allowing them to target and personalize their messages.

You’re a hands-on manager, and you will be a leader within the organization helping to set the standard for excellence, and will amplify your own impact by guiding and developing your team members.

You should have 6+ years of experience in machine learning or data science, and have already led the development of multiple advanced models in the recommender, NLP, or related areas. You should have at least 2+ years of management experience.

This role is based in Boston, MA and requires a weekly hybrid on-site component.

How you’ll make a difference:

30 days	You will have finished on-boarding including engineering and DS specific on-boarding, your local developer environment is set up and usable. You will have met multiple members of the Data Science team and are starting to familiarize themselves with both the Klaviyo product and the data sources available to them. You are already engaged in ML Research team processes.
60 days	You will understand how to train and test models in Klaviyo. You will have developed an opinion about the projects that the ML Research team has in flight and are actively providing feedback to team members and contributing code and reviews. You will have taken over the team processes for the ML Research team.
90 days	You are helping set the direction and roadmap for your team, including leading processes such as quarterly planning. In partnership with your manager, you will be regularly in conversation with Product and Engineering stakeholders to make sure your team’s work remains aligned with company priorities.
Up to 1 year	You will have led the development of multiple impactful models that use Klaviyo’s data, which have been put into production and are generating value in novel and powerful ways for our customers. You are regarded as a valuable partner by other teams, especially data scientists who rely on the ML Research team’s models to supercharge their own work. You continue to deliver new and innovative solutions to ML problems Klaviyo faces and find new ways to generate value for our customers from Klaviyo’s data.

Who you are:

8+ years professional machine learning or data science experience, ideally at a product-led company
2+ years experience directly managing teams of 3+ people, including career development, performance management, and hiring
Developed technical roadmaps for solving complex business problems using ML in partnership with stakeholders such as Product, Engineering, Data Science
Led the development of complex models on massive data sets that power customer-facing features through the entire ML lifecycle including data collection and cleaning, model training and validation, deployment, and maintaining/monitoring in a production software environment
Experience in at least one of NLP, reinforcement learning, deep learning, or recommender systems

Nice to have:

Personally put models into production, monitored and maintained them in production
Experience with frameworks such as Huggingface, PyTorch, Tensorflow, Keras
Experience with distributed training with Spark, Ray, etc.
Experience with data technologies tools such as dbt, Snowflake, etc.
Experience working with customers directly

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:

$192,000—$288,000 USD

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.

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.

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Data Science Manager

Klaviyo

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