Strategic Senior Sales Engineer (EMEA) in London
Monte Carlo London About the role
Senior Strategic Sales Engineer
Monte Monte Carl or o’s growing its Sales Engineering team to accelerate our rapid growth.
Responsibilities
- Act as a key member of the Monte Carl or o’s sales engineering team, providing excellent technical guidance and support to the sales team.
- Deliver demos and successful evaluation processes, plan production rollouts, position the platform to technical and non‑technical stakeholders and executives, technical solutioning, advocate cross‑functionally for the customer’s needs, and create content to scale your work.
- Evangelize a category with enormous potential and serve as an early member of the go‑to‑market team reshaping the data industry.
- Own a high degree of appetite for ambiguity in a startup environment—seek answers where there are none.
- Participate as part of a high‑performing team that holds itself to a high bar and sets ambitious goals.
Qualifications
- 5+ years of experience in Sales Engineering for a technical product, with extensive experience running POV’s.
- Previous experience working with data products/solutions highly preferred.
- Ability to manage multiple projects simultaneously, work with different sales people, and support other SEs where needed.
- Demonstrated track record in an early‑stage company or highly ambiguous environment.
- Firm understanding or experience with cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL.
- High degree of ownership, relentless desire to solve customer problems, and chase down answers.
- Technical acumen to understand and explain complex architecture.
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Your tasks
Join our sales engineering team to provide top-notch technical support and guidance.
Your profile
5+ years in Sales Engineering with a strong grasp of data products and solutions.
What's also included
Competitive salary, flexible work environment, and opportunities for professional growth.
Tech stack & ways of working
Strategic Senior Sales Engineer (EMEA) in London employer: Monte Carlo
Monte Carlo is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Senior Pre-Sales Engineer, you'll have the opportunity to shape the future of our strategic accounts in EMEA, supported by a culture that values diversity and inclusion. With a focus on employee growth and the use of cutting-edge AI tools, you will be empowered to drive meaningful impact while enjoying a strong support network and ample opportunities for professional development.
Your perspectives
Be part of a high-performing team and make a real impact in a dynamic field.
StudySmarter Expert Advice
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 Monte Carlo!
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 Strategic Senior Sales Engineer (EMEA) at Monte Carlo.
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 Monte Carlo.
Apply Directly through Our Website
When you find a suitable opening like Strategic Senior Sales Engineer (EMEA) at Monte Carlo, 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!
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 Monte Carlo, 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 Monte Carlo. 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 Monte Carlo
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 Monte Carlo!
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.
Locations
- London
