Sales and Executive in London

Sales and Executive in London

London Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive sales of Databricks Lakebase, helping customers modernise their data foundations.
  • Company: Join Databricks, a leading Data and AI company trusted by top global brands.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Collaborative team atmosphere with a focus on diversity and inclusion.
  • Why this job: Be at the forefront of AI and operational databases in a fast-growing tech environment.
  • Qualifications: Experience in enterprise SaaS sales and a strong understanding of data platforms.

The predicted salary is between 63000 - 77000 Β£ 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.

  • 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 β€” including platform teams and developers, data teams, and central IT β€” articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
  • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
  • 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.
  • Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation.
  • 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.
  • Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
  • Bachelor's degree or equivalent practical experience.
  • Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
  • Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.
  • Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
  • Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
  • Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

About Databricks: Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.

Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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.

Sales and Executive in London employer: DataBricks

At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to tackle complex challenges in data and AI, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, we provide our team with access to cutting-edge resources and a network of industry leaders, making it an ideal place for those seeking meaningful and rewarding careers.

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Contact Details:

DataBricks Recruitment Team

We think you need these skills to ace Sales and Executive in London

Sales Experience
Enterprise SaaS Sales
Data Platform Sales
Operational Databases Knowledge
Cloud-Native Services Understanding
Microservices Architecture
Event-Driven Systems Knowledge