At a Glance
- Tasks: Drive Lakebase sales and help customers modernise their operational data foundation.
- Company: Join Databricks, a leading data and AI company transforming the industry.
- Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Be at the forefront of AI-driven applications and operational databases.
- Qualifications: Proven SaaS sales experience and strong understanding of data platforms.
The predicted salary is between 70000 - 90000 £ per year.
Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service.
If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.
The impact you will have:
- Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
- Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
- Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
- Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
- Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
- Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
- Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
- Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
- Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation.
What we look for:
- Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
- Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
- Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
- Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
- Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
- Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
- Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
- Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
- Bachelor’s degree or equivalent practical experience.
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 click here.
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.
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.
Lakebase Sales Lead EMEA employer: Cacheflow
Databricks is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the rapidly evolving field of data and AI. Employees benefit from comprehensive perks, a commitment to diversity and inclusion, and ample opportunities for professional growth, making it an ideal environment for those looking to make a meaningful impact in their careers. Located in a vibrant tech hub, Databricks provides a unique chance to be at the forefront of operational databases, working alongside industry leaders to drive transformative solutions for clients.
StudySmarter Expert Advice🤫
We think this is how you could land Lakebase Sales Lead EMEA
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, webinars, or even local meetups. The more you engage, the better your chances of landing that Lakebase Sales Lead role.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience with enterprise SaaS sales and operational databases. Share success stories that demonstrate how you've driven revenue and improved outcomes.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of modern data architectures and be ready to discuss how Lakebase can solve real-world problems. Confidence is key, so practice articulating your thoughts clearly.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Databricks. Make sure your application stands out by tailoring it to the Lakebase Sales Lead role and showing your passion for AI-driven solutions.
We think you need these skills to ace Lakebase Sales Lead EMEA
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Lakebase Sales Lead role. Highlight your experience with enterprise SaaS sales and operational databases, showing how you've driven revenue and worked with technical and business stakeholders.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell your story. Use it to explain why you're passionate about Databricks and how your skills align with the Lakebase vision. Don't forget to mention specific achievements that demonstrate your value.
Showcase Your Communication Skills:Since this role involves engaging with C-level executives and technical teams, make sure your application reflects your excellent communication and storytelling abilities. Use clear, concise language and avoid jargon where possible.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role in the most efficient way possible.
How to prepare for a job interview at Cacheflow
✨Know Your Product Inside Out
Before the interview, make sure you have a solid understanding of Databricks Lakebase and its benefits. Familiarise yourself with how it modernises operational data foundations and why it's the best choice for AI-driven applications. This knowledge will help you articulate its value during discussions.
✨Prepare for Multi-Stakeholder Scenarios
Given the complexity of the role, practice how to navigate conversations with various stakeholders. Think about how you would address both technical and business leaders, and prepare examples of how you've successfully led multi-threaded sales cycles in the past.
✨Showcase Your Value Selling Skills
Be ready to demonstrate your ability to discover pain points and build a compelling business case. Prepare specific examples where you've tied technical capabilities to measurable outcomes, as this will resonate well with the interviewers.
✨Practice Your Storytelling
Strong communication is key! Work on your storytelling skills to effectively convey your experiences and successes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making them clear and impactful.