Klaviyo

About Klaviyo

The CRM platform for growth-focused B2C brands

🏢 Tech👥 1001+ employees📅 Founded 2012📍 Boston, MA4
B2CMarketingContenteCommerce

Key Highlights

  • Over 100,000 customers including Uncommon Goods & Chubbies
  • $1B+ raised in funding with a $9.5B valuation
  • Headquartered in Boston, MA with 1001+ employees
  • Integrates marketing automation, analytics, and customer service

Klaviyo, headquartered in Boston, MA, is a leading CRM platform specifically designed for B2C brands. With over 100,000 customers, including notable names like Uncommon Goods and Chubbies, Klaviyo integrates marketing automation, analytics, and customer service into a single solution. The company ha...

🎁 Benefits

Klaviyo offers a comprehensive benefits package including private medical insurance, an employee stock purchase plan, company equity, generous parenta...

🌟 Culture

Klaviyo fosters a data-driven culture that emphasizes the integration of analytics and messaging to empower eCommerce brands. The company values innov...

Klaviyo

Software Engineering Mid-Level

KlaviyoBoston - On-Site

Posted 22h ago🏛️ On-SiteMid-LevelSoftware Engineering📍 Boston💰 $120,000 - $180,000 / yearly
Apply Now →

Overview

Klaviyo is hiring a Software Engineer for their Product Recommendations team to build machine learning-powered systems for personalized product recommendations. You'll work on large-scale backend and data systems, focusing on scalable systems and data processing frameworks.

Job Description

Who you are

You have a solid background in software engineering, particularly in building backend systems that handle large-scale data processing. You understand the intricacies of machine learning systems and have experience working with data pipelines and APIs. You thrive in collaborative environments, partnering with cross-functional teams including Machine Learning Engineers and Product Managers to deliver impactful solutions. You are comfortable with the challenges of real-time data processing and are eager to contribute to the development of innovative product recommendation features. You appreciate diverse perspectives and are open to learning from your colleagues, valuing the unique experiences each team member brings to the table.

Desirable

Experience with machine learning frameworks and a strong understanding of data-driven decision-making processes would be advantageous. Familiarity with cloud services and scalable architectures is a plus, as is a passion for creating personalized user experiences through technology.

What you'll do

In this role, you will design, build, and operate backend services that power product recommendations across Klaviyo's platform. You will work closely with the Product Recommendation team to develop systems that process billions of behavioral events, transforming them into real-time, personalized recommendations. Your responsibilities will include developing data ingestion processes, feature generation, and implementing ranking models that enhance the user experience. You will also be involved in exposing APIs that integrate seamlessly with various Klaviyo experiences, such as email and SMS. As a hands-on engineer, you will focus on building scalable systems and data processing frameworks, ensuring that the solutions you create are robust and efficient. You will have the opportunity to collaborate with other engineers and product teams, contributing to the overall success of Klaviyo's mission to empower creators.

What we offer

Klaviyo fosters a culture of inclusivity and innovation, where every team member is encouraged to share their ideas and contribute to the company's growth. You will have access to professional development opportunities and the chance to work on cutting-edge technology that impacts businesses of all sizes. The company values work-life balance and offers flexible working arrangements to support your personal and professional growth. Join us at Klaviyo, where you can make a meaningful impact in the world of product recommendations and help shape the future of e-commerce.

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