Deliverability Strategy Lead β€” Enterprise (London)

Deliverability Strategy Lead β€” Enterprise (London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Klaviyo Inc.

At a Glance

  • Tasks: Ensure top-notch email deliverability and manage strategic client relationships.
  • Company: Join Klaviyo, a leader in email marketing solutions.
  • Benefits: Generous benefits, collaborative culture, and opportunities for growth.
  • Other info: Great opportunity to enhance your career in a supportive team.
  • Why this job: Make a real impact in a dynamic, empowering environment.
  • Qualifications: 5+ years in a data-driven role and a relevant Bachelor's degree.

The predicted salary is between 60000 - 80000 Β£ per year.

Klaviyo Inc. in Greater London is looking for a Deliverability Strategist who will ensure a high-quality sending experience for clients. The role involves managing strategic relationships and driving adoption of best practices in email deliverability.

You will conduct audits, resolve deliverability issues, and communicate effectively with stakeholders.

The ideal candidate has 5+ years of experience in a data-driven role and a Bachelor's degree in an IT-related field.

Join Klaviyo to make an impact in an empowering, collaborative environment with generous benefits.

Deliverability Strategy Lead β€” Enterprise (London) employer: Klaviyo Inc.

Klaviyo Inc. is an exceptional employer located in Greater London, offering a dynamic and collaborative work culture that empowers employees to make a meaningful impact. With generous benefits and ample opportunities for professional growth, Klaviyo fosters an environment where innovation thrives and strategic thinking is encouraged, making it an ideal place for those passionate about email deliverability and client success.

Klaviyo Inc.

Contact Details:

Klaviyo Inc. Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Deliverability Strategy Lead β€” Enterprise (London)

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Klaviyo Inc.!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Deliverability Strategy Lead β€” Enterprise (London) at Klaviyo Inc..

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Klaviyo Inc..

✨Apply Directly through Our Website

When you find a suitable opening like Deliverability Strategy Lead β€” Enterprise (London) at Klaviyo Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Deliverability Strategy Lead β€” Enterprise (London)

Email Deliverability
Strategic Relationship Management
Best Practices Implementation
Data Analysis
Auditing Skills
Problem Resolution
Stakeholder Communication

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Klaviyo Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Klaviyo Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Klaviyo Inc.

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Klaviyo Inc.!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.