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.
The Recommendations and Personalization team is responsible for building and maintaining our recommendations platform in Klaviyo. The platform serves algorithmic recommendations of catalog items (ex. products or content) to customers at a personalized level. The team collaborates closely with internal stakeholders to design the systems required to serve millions of recommendations a day. The team is full stack and responsible for developing and productionalizing the data science models our recommendation engine serves.
We are looking for a curious Software Engineer II with a strong sense of ownership to architect, implement and test scalable recommendation and personalization systems. You'll help businesses serve relevant and personalized content to drive strong business outcomes. Your tech stack will include Python, Typescript, React, AWS, Kubernetes, Django, and Spark.
How You Will Make A Difference
- Deliver key product capabilities in the recommendations and personalization area and serve millions of recommendations per day with low latency.
- Work with data volumes representing several orders of magnitude to deliver experiences that provide value to our smallest as well as largest customers.
- Work cross functionally with product, design, and data science to build, test and optimize products using recommendation and personalization algorithms.
- Build highly tolerant, reliable and performant software engineering systems with integrated data science and machine learning capabilities.
- Have ample opportunities to learn and grow.
Who You Are
- 2+ years of experience working in a SaaS product in full stack capacity.
- Able to write clean code following software engineering and object oriented best practices.
- Proficient in at least one modern programming language.
- Some knowledge about Data Science and Machine Learning concepts.
- Degree or equivalent experience in a software engineering discipline.
- Able to communicate ideas well using documentation, design reviews and presentations.
- Able to work with others in an agile team environment.
- Able to break down difficult problems and solve them.
- Able to learn continuously and adapt to a high growth environment.
- Excited to learn about and build recommendation systems using high volume of data and low latency.
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.
Pay Range For US Locations:
$123,200—$184,800 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.
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