At a Glance
- Tasks: Solve complex customer problems and close big deals with innovative tech solutions.
- Company: Join a leading AI Data Cloud company with a dynamic and collaborative culture.
- Benefits: Enjoy comprehensive health plans, remote work options, and generous time-off policies.
- Other info: Great career growth opportunities and a supportive work environment.
- Why this job: Make an impact in the evolving AI landscape while working with cutting-edge technologies.
- Qualifications: Experience in data platforms, Python, SQL, and strong presentation skills required.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role, you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Solution Engineer, you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.
Key Responsibilities:
- Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers.
- Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
Benefits:
- Comprehensive health insurance plans.
- Health savings accounts.
- Robust retirement plans.
- Life and disability insurance.
- Weekly online lunch and learns.
- Virtual workout classes.
- Ergonomic work-from-home equipment.
- On-demand mental health and wellness programs.
- Fertility benefits and family planning resources.
- Generous time-off and various leave plans.
- Onsite and Remote Work.
- Employee discounts and pre-tax selections.
- New hire equity + Employee Stock Purchase Plan (ESPP).
- Quarterly bonus or commission program.
Qualifications:
- Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.
- Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs).
- Hands-on expertise with Python and SQL.
- Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
- Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.
FS Solution Engineer employer: Snowflake
At Snowflake, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As an Account Executive in Sales, you'll have the opportunity to drive significant enterprise deals while collaborating with talented teams in a fast-paced environment that values growth and adaptability. With a commitment to employee development and a focus on redefining how work gets done, Snowflake offers a unique chance to make a meaningful impact in the AI and data infrastructure space.
StudySmarter Expert Advice🤫
We think this is how you could land FS Solution Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Snowflake or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Snowflake.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Snowflake.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Snowflake that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace FS Solution Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Snowflake.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Snowflake and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Snowflake
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Snowflake uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
