Lakebase Sales Lead EMEA in London

Lakebase Sales Lead EMEA in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Databricks

At a Glance

  • Tasks: Drive sales of Lakebase, helping customers modernise their operational data foundation.
  • Company: Join one of the fastest-growing data and AI companies in the world.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Collaborate with cross-functional teams and shape territory plans.
  • Why this job: Be at the forefront of operational databases for AI and intelligent applications.
  • Qualifications: Proven SaaS sales experience and strong understanding of data platforms.

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.

Lakebase Sales Lead EMEA in London employer: Databricks

Databricks is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the rapidly evolving field of data and AI. As a Lakebase Sales Lead in EMEA, you will benefit from extensive professional growth opportunities, working alongside talented teams to drive impactful solutions for customers. With a commitment to employee development and a focus on meaningful contributions, Databricks provides a unique environment where your expertise can thrive and make a real difference.

Databricks

Contact Details:

Databricks 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 local events related to data and AI. You never know who might have a lead on that perfect Lakebase Sales Lead role!

Tip Number 2

Practice your pitch! When you get the chance to chat with potential employers, be ready to articulate how your experience aligns with their needs. Focus on your success in driving revenue and working with technical and business stakeholders.

Tip Number 3

Leverage social media! Use platforms like LinkedIn to showcase your expertise in operational databases and AI. Share articles, engage with posts, and connect with key players in the field to increase your visibility.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who can drive Lakebase adoption. Make sure your application stands out by highlighting your relevant experience and achievements.

We think you need these skills to ace Lakebase Sales Lead EMEA in London

Enterprise SaaS Sales Experience
Data Platform Sales
Operational Databases Knowledge
Cloud-native Services Understanding
Microservices Architecture
Event-driven Systems Knowledge
Technical Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Lakebase Sales Lead role. Highlight your enterprise SaaS sales experience and any success you've had with operational databases. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've driven revenue in complex sales cycles and how you can help our customers modernise their data foundations with Lakebase.

Showcase Your Technical Knowledge:Since this role involves selling to both technical and business stakeholders, make sure to demonstrate your understanding of modern data architectures and AI strategies. We love seeing candidates who can bridge the gap between tech and business!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Databricks

Know Your Product Inside Out

Before the interview, make sure you understand Databricks Lakebase thoroughly. Familiarise yourself with its features, benefits, and how it stands out from competitors. This will help you articulate its value to potential customers and demonstrate your expertise during discussions.

Prepare for Multi-Stakeholder Scenarios

Given the complexity of the role, practice how you would navigate conversations with various stakeholders. Think about how to address both technical and business concerns, and prepare examples of how you've successfully managed similar situations in the past.

Showcase Your Sales Success Stories

Be ready to share specific examples of your past sales achievements, especially those involving enterprise SaaS or operational databases. Highlight how you exceeded quotas and the strategies you used to close complex deals, as this will resonate well with the interviewers.

Demonstrate Your Value Selling Skills

During the interview, focus on your ability to discover customer pain points and build a compelling business case. Prepare to discuss how you can tie technical capabilities of Lakebase to measurable outcomes, showcasing your strong value selling skills.