At a Glance
- Tasks: Drive sales for Snowflake's Data Engineering Platform and shape the EMEA market.
- Company: Join a fast-growing tech company focused on innovation and collaboration.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Why this job: Make a real impact in a strategic role with leading technology.
- Qualifications: 10+ years of sales experience with a strong track record in technical solutions.
- Other info: Be part of a team that values creativity and challenges the status quo.
The predicted salary is between 36000 - 60000 £ per year.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is seeking an accomplished Senior/Principal Sales Specialist, Data Engineering Platform (Openflow and Iceberg/Polaris) to drive sales execution for our ingestion workloads for the EMEA markets. Reporting to the Managing Direction, Data Engineering Platform Sales, this is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Data Engineering and Data Lake capabilities. This role is the first in EMEA and provides an opportunity to shape the region, working with our largest EMEA accounts across all industries.
Responsibilities:
- Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list.
- Execute tailored sales plays to capture market opportunities in Data Engineering, helping customers optimize their use of Snowflake's platform.
- Work directly with customers to understand their Data Engineering needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements.
- Become an expert in Snowflake’s Data Engineering and Data Lakehouse capabilities and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s Data Engineering capabilities.
- Work with our Account Executives, Sales Engineers, Leadership and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment.
- Track, analyze, and report on Data Engineering sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement.
- Partner with the broader cross-functional organization to integrate Data Engineering sales efforts with Snowflake’s overall go-to-market plans.
- Driving the forecast of the region and exceeding revenue targets on consumption.
Minimum Qualifications:
- 10+ years of professional experience and at least 6 years of sales experience with consistently exceeding sales objectives selling technical solutions and software products into the enterprise market.
- A strong track record of meeting or exceeding revenue targets in highly competitive markets.
- A familiarity with a solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities.
- Proven ability to independently manage, develop, and close new client relationships.
- Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels.
- In-depth knowledge of Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains.
- Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product.
Preferred Qualifications:
- Experience operating in overlay sales role and/or driving product consumption through workloads and use cases.
- Technical background with an understanding of the data space and market.
- Bachelor’s Degree.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
Openflow Sales Specialist in London employer: Snowflake
Contact Detail:
Snowflake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Openflow Sales Specialist in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out to potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand Snowflake’s Data Engineering capabilities inside out, so you can speak confidently about how you can contribute. Tailor your responses to show how your experience aligns with their needs.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources to refine your pitch. Focus on articulating your achievements and how they relate to the role of an Openflow Sales Specialist at Snowflake.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Snowflake team. Let’s make it happen!
We think you need these skills to ace Openflow Sales Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Openflow Sales Specialist. Highlight your experience in sales, especially in technical solutions and software products, and don’t forget to mention any relevant achievements that show you can exceed targets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about Data Engineering and how your skills align with our mission at Snowflake. Be sure to mention specific experiences that demonstrate your ability to drive customer engagement and sales.
Showcase Your Knowledge: We want to see that you know your stuff! In your application, reference your understanding of Data Engineering, Data Lakehouse technologies, and any relevant market insights. This will show us that you’re not just applying for a job, but that you’re genuinely interested in the field.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Snowflake team!
How to prepare for a job interview at Snowflake
✨Know Your Stuff
Make sure you have a solid understanding of Snowflake’s Data Engineering and Data Lakehouse capabilities. Brush up on the latest trends in data ingestion and transformation technologies, as well as how they apply to the enterprise market. This knowledge will help you engage confidently with interviewers and demonstrate your expertise.
✨Tailor Your Sales Strategy
Prepare to discuss how you would develop a sales strategy for the allocated territory. Think about specific accounts you’d target and how you’d execute tailored sales plays. Show them you can think strategically and adapt your approach to meet customer needs.
✨Engage with Real Examples
Be ready to share examples from your past experiences where you’ve successfully met or exceeded sales targets. Highlight your familiarity with solution-based selling and managing complex sales processes. Concrete examples will make your claims more credible and relatable.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to discuss how you’ve collaborated with others in previous roles. Share instances where you partnered with sales engineers, marketing, or product teams to drive successful outcomes. This will show that you’re a team player who can integrate efforts across the organisation.