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klaviyo
Страна
Великобритания
Зарплата
68 000 £ – 102 000 £
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Software Engineer - Catalog Insights - Analytics

Оценка ИИ

Klaviyo — это быстрорастущая и уважаемая продуктовая компания с сильной инженерной культурой. Предлагаемый диапазон зарплаты конкурентоспособен для Лондона, а стек технологий современен и востребован.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует уверенного владения full-stack стеком (Python/React) и понимания обработки больших данных (Spark). Средний уровень сложности обусловлен необходимостью участия в on-call ротациях и проектирования сложных систем данных.

Анализ зарплаты

Медиана85 000 £
Рынок65 000 £ – 110 000 £
Оценка ИИ

Предлагаемая зарплата (£68k – £102k) полностью соответствует рыночным стандартам Лондона для инженеров с опытом от 2 лет. Верхняя граница диапазона даже несколько превышает медиану для уровня Middle.

Сопроводительное письмо

I am writing to express my interest in the Software Engineer position within the Catalog Insights team at Klaviyo. With over two years of experience in full-stack development and a strong background in building scalable SaaS products, I am excited about the opportunity to contribute to your mission of making data actionable for creators. My technical background aligns perfectly with your stack, particularly in Python, React, and AWS, and I have a proven track record of delivering robust data pipelines and user-centric features.

In my previous roles, I have focused on bridging the gap between complex data processing and intuitive user experiences. I am particularly drawn to the Catalog Insights team's focus on actionability—turning insights into revenue-driving marketing actions. I am eager to bring my problem-solving skills and passion for data visualization to Klaviyo, collaborating with your cross-functional teams to build products that empower customers to own their destiny.

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Откликнитесь в klaviyo уже сейчас

Присоединяйтесь к Klaviyo, чтобы создавать инновационные аналитические инструменты и помогать брендам расти на основе данных!

Описание вакансии

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 klaviyo.com/careers to see how we empower creators to own their own destiny.

The Catalog Insights Team’s mission is to arm Klaviyo customers with the data they need to drive sustainable business growth through efficient and effective product placement. Beyond analytical views, this team is also highly focused on actionability: finding creative ways for customers to go from catalog insight to revenue-driving marketing action in a matter of clicks.

As an Engineer on the Catalog Insights team you can expect to be deeply involved in the technical discussions and delivery of the features our customers need. You'll have ownership of projects that contribute to the team's mission, goals, and roadmap. You'll collaborate alongside technical product owners and product managers to build a product and develop a technical strategy to deliver products that make it easy for users to understand their data and performance. Your tech stack will include Python, Typescript, React, AWS, Kubernetes, Django, and Spark.

How You Will Make A Difference

  • Deliver key product capabilities for Catalog Insights to support our recently launched Marketing Analytics product.
  • Design and build systems and data pipelines that process large volumes of data to deliver experiences providing value to Klaviyo customers of all sizes
  • Work cross functionally with product, design, and data science teams to develop product requirements and technical solutions.
  • Own product solutions end-to-end, including technical design, implementation, maintenance, monitoring, and participation in on-call rotations for the services we ship.
  • Have ample opportunities for growth.

Who You Are

  • 2+ years experience working in a SaaS product in full stack capacity
  • Proficient in at least one modern programming language
  • Degree or equivalent experience in a software engineering discipline
  • Able to communicate well
  • Able to work with others on a team
  • Able to learn continuously and adapt to a high growth environment
  • Able to stick with and solve difficult problems
  • Excited to learn and understand data visualization in addition to full stack engineering

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

Our salary range reflects the cost of labour in the country where the job post is advertised. 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.

Your recruiter can provide more details about the specific salary/OTE  range for your preferred location during the hiring process.

Base Pay Range in Local Currency:

£68,000—£102,000 GBP

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.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.

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 Noticehere and here (FR).

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Навыки

  • Python
  • TypeScript
  • React
  • AWS
  • Kubernetes
  • Django
  • Spark
  • SaaS
  • Data Visualization
  • Data Pipelines

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком компании.

Расскажите о вашем опыте работы с Django и React в рамках одного проекта. С какими сложностями интеграции вы сталкивались?

Позиция подразумевает работу с большими объемами данных для аналитики.

Как бы вы спроектировали масштабируемый конвейер данных (data pipeline) для обработки миллионов событий каталога в реальном времени?

В описании указано использование Spark.

В каких ситуациях вы бы предпочли использовать Spark вместо стандартных средств обработки данных в Python (например, Pandas)?

Роль включает дежурства (on-call).

Опишите случай, когда вам приходилось устранять критическую проблему в продакшене под давлением. Как вы действовали?

Команда фокусируется на визуализации данных.

Какие библиотеки или подходы вы используете для эффективной визуализации больших наборов данных на фронтенде?

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klaviyo
Страна
Великобритания
Зарплата
68 000 £ – 102 000 £