Lakebase Sales Lead EMEA in London

Lakebase Sales Lead EMEA in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Drive Lakebase sales and help customers modernise their operational data foundation.
  • Company: Join Databricks, a leading data and AI company with a focus on innovation.
  • Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
  • Other info: Collaborative environment with a commitment to 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 architectures.

The predicted salary is between 80000 - 100000 £ 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. 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.

Lakebase Sales Lead EMEA in London employer: Cacheflow

Databricks is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. Employees benefit from comprehensive perks, a commitment to diversity and inclusion, and ample opportunities for professional growth within the rapidly evolving field of data and AI. Joining Databricks means being part of a forward-thinking team at the forefront of operational databases, where your contributions directly impact the future of intelligent applications.

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Contact Details:

Cacheflow Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lakebase Sales Lead EMEA in London

Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Databricks. Building relationships can open doors that a CV just can't.

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 specific examples of how you've driven revenue and improved processes.

Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of modern data architectures and be ready to discuss how they relate to AI and analytics. The more you know, the more confident you'll feel during interviews.

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 Lakebase Sales Lead EMEA in London

Enterprise SaaS Sales Experience
Data Platform Sales
Operational Databases Knowledge (Postgres, MySQL, DBaaS)
Understanding of Modern Data Architectures
Cloud-Native Services Knowledge
Microservices Understanding
Event-Driven Systems Knowledge

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Lakebase Sales Lead role. Highlight your experience with enterprise SaaS sales and operational databases, showing us how you can drive new revenue and partner effectively with regional Account Executives.

Showcase Your Value Selling Skills:We want to see how you can discover pain points and build a solid business case. Use specific examples from your past experiences where you’ve tied technical capabilities to clear, quantified outcomes that resonate with both technical and business stakeholders.

Communicate Clearly:Your written application should reflect your excellent communication skills. Be concise and engaging, telling a compelling story about your journey in sales and how it aligns with our mission at Databricks. Remember, we love a good narrative!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the Databricks team!

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 supports AI-driven applications. This knowledge will help you articulate its value to potential customers during your discussions.

Prepare for Multi-Stakeholder Scenarios

Given the complexity of the sales cycles, practice how you would navigate conversations with various stakeholders, from technical teams to C-level executives. Think about how you can tailor your pitch to address their specific pain points and demonstrate the measurable business outcomes that Lakebase can deliver.

Showcase Your Value Selling Skills

Be ready to discuss your past experiences where you've successfully identified customer pain points and built compelling business cases. Use examples that highlight your ability to connect technical capabilities to clear, quantified outcomes, as this is crucial for the role.

Engage in Storytelling

During the interview, use storytelling techniques to convey your experiences and successes. Share anecdotes that illustrate your journey in enterprise SaaS sales, particularly those involving operational databases. This will not only make your responses more engaging but also help the interviewers see how you can fit into their team.