Lakebase Sales Lead EMEA in London

Lakebase Sales Lead EMEA in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Neura Market

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 operational databases for AI and intelligent applications.
  • Qualifications: Extensive SaaS sales experience and strong understanding of data architectures required.

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: Neura Market

Databricks is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to drive impactful change in the data and AI landscape. With a strong commitment to diversity and inclusion, comprehensive benefits, and ample opportunities for professional growth, Databricks fosters a collaborative culture that encourages employees to excel and contribute to cutting-edge solutions like Lakebase. Join us in a role that not only challenges you but also places you at the forefront of operational databases, all while being part of one of the fastest-growing companies in the industry.

Neura Market

Contact Details:

Neura Market 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! Reach out to current employees at Databricks on LinkedIn and ask about their experiences. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Prepare for the interview by understanding Lakebase inside out. Know its features, benefits, and how it stacks up against competitors. This will help you articulate its value during discussions.

Tip Number 3

Practice your storytelling skills! Be ready to share past successes in sales, especially those involving complex deals. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email reiterating your excitement about the role can leave a lasting impression. Plus, it shows you’re genuinely interested in joining the 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
Microservices
Event-Driven Systems

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, clarity is key!

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 this exciting opportunity to be part of the Lakebase Go-To-Market team.

How to prepare for a job interview at Neura Market

Know Your Product Inside Out

Before the interview, make sure you understand Databricks Lakebase and its benefits thoroughly. Familiarise yourself with how it modernises operational data foundations and supports AI-native applications. This knowledge will help you articulate its value to potential customers during your interview.

Prepare for Multi-Stakeholder Scenarios

Given the complexity of the role, practice discussing how you would navigate multi-threaded sales cycles. Think about examples from your past experiences where you successfully engaged with both technical and business stakeholders, and be ready to share these stories.

Showcase Your Value Selling Skills

Be prepared to demonstrate your ability to discover customer pain points and build a compelling business case. Think of specific instances where you tied technical capabilities to measurable outcomes, as this aligns perfectly with what the company is looking for.

Engage in Role-Play

Consider doing mock interviews or role-playing scenarios with a friend or mentor. Focus on presenting to different audiences, from developers to C-level executives. This will help you refine your storytelling and negotiation skills, making you more comfortable during the actual interview.