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Lead Software Engineer - Experimentation & Optimization

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.

Location: Boston, MA

Klaviyo operates a real-time data analytics platform, built primarily in Python and hosted on Amazon Web Services (AWS), scalable by design to meet increasing demand. Engineers at Klaviyo bring experience from diverse backgrounds and disciplines, contributing to a collaborative and high-impact environment.

The Experimentation & Optimization team is a full-stack engineering team that builds intuitive and robust experimentation solutions for Klaviyo users. We prioritize rigorous statistical methods and ensure model explainability, working closely with data scientists and UX designers to create a seamless user experience. Our team is responsible for developing and enhancing Klaviyo’s experimentation platform, enabling users to experiment with and optimize campaigns, flows, and forms to improve audience engagement. By providing a powerful platform, expert guidance, in-depth analysis, and actionable insights, we help businesses extract meaningful learnings from their data. Our work integrates deeply with Klaviyo’s core technologies, requiring close collaboration across the engineering organization to build scalable, data-driven solutions.

As a Lead Software Engineer on the Experiments Platform Team, you will play a key role in shaping the architecture and strategy for experimentation at Klaviyo. You’ll lead technical discussions on how to design and implement robust experimentation features that help users optimize their marketing efforts. You’ll own the team’s mission, goals, and roadmap, collaborating closely with technical product owners and managers to develop a cohesive strategy that aligns both technical and business objectives. Your work will directly impact Klaviyo’s customers by enabling them to make data-driven decisions that enhance engagement and business outcomes.

Our tech stack includes 

  • Python, FastAPI, gRPC, TypeScript, React, AWS, Django, and Spark.
  • MySQL, PostgreSQL, Clickhouse, Redis, DynamoDB
  • AWS, Terraform, Docker, Argo

How You Will Make a Difference

  • Lead the technical vision for experimentation and optimization at Klaviyo, shaping how we design, build, and scale our experimentation platform.
  • Deliver key product capabilities in experimentation and optimization, enabling users to test and refine campaigns, flows, and forms to maximize engagement.
  • Work with large-scale data volumes to build systems that provide actionable insights to businesses of all sizes, from small startups to enterprise customers.
  • Design and implement scalable experimentation infrastructure that processes massive datasets efficiently.
  • Research, test, and productionalize experimentation methodologies and algorithms that provide measurable improvements in user engagement.
  • Become a subject matter expert (SME) in experimentation and optimization, helping to drive best practices across the organization.
  • Work cross-functionally with product, design, and data science teams to create a seamless experimentation experience for Klaviyo users.
  • Have ample opportunities for growth and impact, given the scope of this role and the team’s central role in Klaviyo’s product strategy.

Who You Are

  • 10+ years of experience as a hands-on software engineer.
  • Experience architecting and building intuitive, consistent APIs in either REST or GraphQL
  • Passionate about creating systems that elegantly simplify complex patterns and practices
  • Proven ability to lead the technical vision for a platform or product area, shaping architecture and strategy to drive impact.
  • Successfully led and delivered complex, multi-quarter projects involving multiple teams.
  • Motivated to grow the team, both by mentoring team members and attracting new talent to expand our capabilities.
  • Excited to dive into the code, deeply understand the experimentation and optimization space, and provide applicable technical mentorship.
  • Strong understanding of cloud architectures and scalable systems, knowing the right tools to use based on the problem at hand.
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.

The pay range for this role is listed below. Some sales and success 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:
$188,000$282,000 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.
 
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.  You can find our Job Applicant Privacy Notice here.
 
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Average salary estimate

$235000 / YEARLY (est.)
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$188000K
$282000K

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What You Should Know About Lead Software Engineer - Experimentation & Optimization, Klaviyo

Join Klaviyo as a Lead Software Engineer - Experimentation & Optimization and immerse yourself in a role where creativity meets technology! Based in Boston, MA, you'll be part of a dynamic team dedicated to building an intuitive experimentation platform that empowers users to enhance their marketing strategies. At Klaviyo, we appreciate the diverse backgrounds and experiences each team member brings, welcoming all applicants, whether or not they meet every specified requirement. Our platform, primarily built in Python and hosted on AWS, allows engineers to collaborate in a high-impact environment. As part of the Experimentation & Optimization team, you'll lead the charge in developing sophisticated systems that analyze data and yield actionable insights. Your expertise will shape the technical vision and architecture of our experimentation features, enabling businesses to test and refine marketing campaigns effectively. Working closely with product owners and engineers, you will align technical objectives with business goals. You’ll directly influence our customers' ability to make informed, data-driven decisions that enhance engagement and improve outcomes. With technologies like FastAPI, TypeScript, and Spark in your toolkit, you will expand your skills while creating impactful solutions. This role not only promises growth and learning but also places you at the heart of Klaviyo’s mission: empowering creators to own their destiny. Are you ready to make a difference? Come join us!

Frequently Asked Questions (FAQs) for Lead Software Engineer - Experimentation & Optimization Role at Klaviyo
What are the primary responsibilities of a Lead Software Engineer - Experimentation & Optimization at Klaviyo?

As a Lead Software Engineer - Experimentation & Optimization at Klaviyo, your primary responsibilities include leading the technical vision for the experimentation platform, delivering new product capabilities that enhance user engagement, and collaborating across teams to create a seamless user experience. You will design scalable systems, research innovative methodologies, and mentor team members while driving the architecture and strategy of the platform.

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What qualifications are needed for the Lead Software Engineer - Experimentation & Optimization role at Klaviyo?

To be considered for the Lead Software Engineer - Experimentation & Optimization position at Klaviyo, you should have 10+ years of hands-on experience in software engineering, with strong expertise in building intuitive APIs. You must have a proven record of leading complex projects and possess a passion for creating systems that simplify complex tasks. A solid understanding of cloud architectures and scalable systems is also essential.

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How does the Experimentation & Optimization team at Klaviyo collaborate with other departments?

The Experimentation & Optimization team at Klaviyo collaborates closely with product management, design, and data science teams to create an integrated experimentation experience for users. This cross-functional collaboration ensures that technical solutions align with business objectives and provide maximum value to customers.

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What is Klaviyo's approach to diversity and inclusion in the workplace?

Klaviyo promotes diversity and inclusion by valuing unique backgrounds and perspectives. The company encourages candidates to apply even if they don't meet every requirement, fostering an environment where everyone's experiences contribute to the workplace culture. Klaviyo believes that diverse teams enhance innovation and customer engagement.

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What technologies does Klaviyo utilize for the Experimentation & Optimization platform?

Klaviyo employs a modern tech stack for the Experimentation & Optimization platform, including Python, FastAPI, TypeScript, React, AWS, Django, and Spark. You'll also work with various databases like MySQL, PostgreSQL, and Redis, as well as deploy applications using Terraform and Docker, ensuring you leverage cutting-edge technologies in your projects.

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Common Interview Questions for Lead Software Engineer - Experimentation & Optimization
Can you describe your experience leading complex software projects as a Lead Software Engineer?

When answering this question, focus on specific projects you've led, outlining your role, challenges faced, and the outcomes. Highlight your leadership skills, decision-making process, and how you collaborated with different teams to achieve success.

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How do you approach designing APIs for a software platform?

Discuss your methodology for API design, such as understanding user needs, employing REST or GraphQL principles, and ensuring robust documentation. Mention how you prioritize consistency, scalability, and security, along with any relevant design patterns you follow.

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What statistical methods do you find most important for experimentation in software engineering?

Reflect on popular statistical methods used in experimentation, such as A/B testing, multivariate testing, and regression analysis. Explain how you apply these methods to derive meaningful insights and validate hypotheses, emphasizing their importance in improving user engagement.

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Describe a time when you had to mentor a junior engineer. What was your approach?

Explain a specific instance where you provided mentorship, detailing how you tailored your approach to the engineer's needs. Highlight the skills you shared, the feedback you provided, and how you fostered their growth and confidence in their abilities.

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What role does cloud architecture play in your software development process?

Discuss how you leverage cloud architectures, emphasizing scalability, reliability, and cost-effectiveness. Provide examples of projects where cloud solutions were essential, and how you determined the right tools for the problem at hand.

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How do you keep up with emerging technologies and best practices in software engineering?

Share your commitment to continuous learning by mentioning resources such as online courses, tech meetups, and professional communities you engage with. Discuss any specific technologies you're excited about and how you plan to integrate them into your work.

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Can you give an example of how you've simplified a complex system?

Provide an example of a complex system you encountered and the steps you took to simplify it. Highlight your problem-solving skills and the positive outcomes resulting from your solutions, particularly how they improved user experience and system performance.

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What strategies do you use to ensure cross-team collaboration?

Discuss the approaches you take to foster collaboration, such as regular meetings, shared documentation, and clear communication. Emphasize the importance of understanding team dynamics and establishing a culture of mutual respect and collaboration.

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How do you measure the success of an experimentation platform?

Outline key performance indicators (KPIs) you believe are essential for an experimentation platform, such as user engagement metrics, experimentation throughput, and impact on marketing effectiveness. Discuss how you analyze these metrics and iterate on processes based on findings.

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What excites you about the role of Lead Software Engineer - Experimentation & Optimization at Klaviyo?

Share your enthusiasm for the position by discussing how it aligns with your career goals and interest in experimentation and data analytics. Mention what aspects of Klaviyo's mission resonate with you and how you envision contributing to the team's success.

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Klaviyo is a global technology company committed to providing a marketing automation platform, used primarily for email marketing and SMS marketing by approximately 143,000 e-commerce merchants.

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Badge Flexible CultureBadge Global CitizenBadge InnovatorBadge Future Unicorn
CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Transparent & Candid
Growth & Learning
Customer-Centric
Mission Driven
Rapid Growth
Work/Life Harmony
FUNDING
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TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 23, 2025

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