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For Companies At a Glance
- Tasks: Engage with customers to uncover challenges and showcase tailored analytics solutions.
- Company: Sigma empowers teams with innovative cloud analytics, transforming data insights into business agility.
- Benefits: Enjoy equity, flexible time off, health benefits, and a dog-friendly office culture.
- Why this job: Join a fast-paced startup revolutionising BI with cutting-edge AI tools and a collaborative environment.
- Qualifications: Experience in analytics or sales engineering; strong customer relationship skills and a technical background required.
- Other info: Opportunity for travel and growth in a dynamic, supportive team.
The predicted salary is between 36000 - 60000 £ per year.
The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts.
What You Will Be Doing
- Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops
- Engage with business users to define, create, and showcase solution prototypes
- Build and present customized demos for customers, trade shows, and webinars
- Confidently present and articulate the business value of the Sigma platform to all levels within an organization
- Deliver product, technical, and security related responses to RFPs/RFIs
- Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
- Work as a team player by contributing, learning, and sharing new knowledge
- Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma
- Manage multiple customer engagements concurrently
- Attain quarterly and annual objectives assigned by management
- Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise
Qualifications We Need
- Experience with analytics, business intelligence, or sales engineering experience
- Strong understanding of database concepts
- Understanding of advanced spreadsheet concepts
- Cloud data warehouse experience – Snowflake, Redshift, BigQuery
- Excellent organizational skills and ability to multitask in a fast-paced startup environment
- Experience implementing production business intelligence solutions or proof of concepts
- Bachelor’s degree in technical/analytics field or equivalent technical & business experience
- 10% Travel some day!
Qualifications We Want (also, skills you’ll learn!)
- Experience at a SaaS company or with cloud architectures
- Experience with data analytics business use cases
- Startup experience
- ETL experience – Fivetran, Matillion or traditional ETL
About us:
Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Benefits For Our Full-Time Employees:
- Equity
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
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StudySmarter Expert Advice 🤫
We think this is how you could land Solution Engineer (EMEA)
✨Tip Number 1
Familiarise yourself with Sigma's platform and its unique features. Understanding how our analytics tool empowers business teams will help you articulate its value during interviews and discussions.
✨Tip Number 2
Brush up on your presentation skills, as you'll need to confidently showcase demos and prototypes. Practising in front of friends or colleagues can help you refine your delivery and boost your confidence.
✨Tip Number 3
Network with current Sigma employees or those in similar roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Stay updated on industry trends related to cloud data warehousing and analytics. Being knowledgeable about the latest developments will demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Solution Engineer (EMEA)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Solution Engineer at Sigma. Familiarise yourself with the technical presales cycle and how it relates to analytics and business intelligence.
Tailor Your CV: Highlight your experience with analytics, business intelligence, and customer relationship skills in your CV. Make sure to include any relevant projects or roles that demonstrate your ability to manage multiple customer engagements and deliver technical presentations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for analytics and how you can contribute to Sigma's mission. Mention specific experiences where you've successfully engaged with customers to uncover business challenges and showcase your problem-solving skills.
Showcase Relevant Skills: Be sure to mention your familiarity with cloud data warehouses like Snowflake or Redshift, as well as any experience with ETL tools. This will demonstrate your technical proficiency and readiness for the role.
How to prepare for a job interview at Sigma Computing
✨Understand the Role
Make sure you have a solid grasp of what a Solutions Engineer does, especially in the context of analytics and business intelligence. Familiarise yourself with Sigma's platform and how it transforms data insights for businesses.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud data warehouses like Snowflake or Redshift, as well as your understanding of database concepts. Highlight any relevant projects where you've implemented business intelligence solutions or prototypes.
✨Engage in Role-Playing
Practice running discovery sessions or workshops. This will help you demonstrate your ability to uncover business challenges and articulate the value of Sigma’s solutions effectively during the interview.
✨Prepare for Customer Engagement Scenarios
Think of examples from your past experiences where you've successfully managed multiple customer engagements. Be ready to discuss how you built relationships and delivered tailored solutions that met their needs.
