At a Glance
- Tasks: Engage with clients to showcase our Data Intelligence Platform and solve complex data challenges.
- Company: Join Databricks, a leader in data science and analytics with a customer-centric culture.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on building a diverse and inclusive workplace.
- Why this job: Be part of a mission to revolutionise how businesses work with data and drive innovation.
- Qualifications: Experience in Data Science, AI, or Machine Learning, plus strong client-facing skills.
The predicted salary is between 48000 - 72000 £ per year.
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer‑centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You will work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering.
The impact you will have:
- Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and third‑party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‑ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how‑tos, and demo applications.
- Develop both technically and in pre‑sales, with the goal of becoming an independently operating Solutions Architect.
What we look for:
- Experience, technical customer‑facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
- You will be working in the following vertical sectors: Real‑money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality, Manufacturing, Energy and Industrials, Travel, Transport and Logistics, Financial Services and Insurance, Public Sector, Consumer Package Goods (CPG) / Retail.
- Any experience in Pre‑sales or post‑sales experience working with external clients.
- Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‑of‑concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
- Experience diving deeper into solution architecture and design.
- The role requires travel to customer sites in the UK, travelling approx. 20‑30% of the time.
Nice to have: Databricks Certification
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Compliance: If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Pre-sales Senior Technical Solutions Engineer (Data and AI) employer: Menlo Ventures
Legora is an exceptional employer that champions innovation and collaboration in the legal tech space. With a commitment to diversity and inclusion, employees thrive in a high-performance culture that encourages personal and professional growth. The company offers unique opportunities to work alongside leading global firms, empowering you to make a meaningful impact while shaping the future of legal operations.
StudySmarter Expert Advice🤫
We think this is how you could land Pre-sales Senior Technical Solutions Engineer (Data and AI)
✨Tip Number 1
Get to know the company inside out! Research Databricks, their products, and their culture. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data solutions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Databricks team.
We think you need these skills to ace Pre-sales Senior Technical Solutions Engineer (Data and AI)
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your technical expertise in Data Science, AI, or Machine Learning. We want to see how you can apply these skills to solve real-world problems, so don’t hold back on showcasing your experience!
Tailor Your Application:Take the time to customise your application for the Pre-sales Senior Technical Solutions Engineer role. We love seeing candidates who align their experiences with our mission and values, so make it personal and relevant!
Be Customer-Centric:Since we’re all about a customer-focused mindset, share examples of how you've successfully engaged with clients in the past. Show us how you’ve turned technical jargon into solutions that resonate with customers!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Data Science, Generative AI, and Big Data Analytics. Be ready to discuss how you've used programming languages like Python, Java, or Scala in real-world scenarios, as well as your experience with cloud platforms like AWS, GCP, or Azure.
✨Understand the Customer's Needs
Before the interview, research the industries you'll be working with, such as Gaming, Media, or Financial Services. Think about potential pain points these sectors face and how Databricks can provide solutions. This will help you demonstrate your customer-centric mindset during the interview.
✨Showcase Your Pre-sales Experience
If you've got any pre-sales or post-sales experience, be sure to highlight it! Prepare examples of how you've successfully engaged with clients, created narratives, and achieved tangible outcomes. This will show that you can effectively communicate technical propositions and build trust with customers.
✨Engage with the Databricks Community
Familiarise yourself with Databricks' culture and values. Mention any workshops, seminars, or meet-ups you've attended related to Databricks or similar technologies. This shows your enthusiasm for the role and your commitment to contributing to the technical community.