Lakebase Sales Specialist (Enterprise UKI)

Databricks · London, United Kingdom · HQ Management · listed June 3, 2026

The shape of it

Seniority
Not stated
Where
Not stated
Requirements listed
9
Length
928 words

In the posting’s own words

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.

What it asks for · 9

  • 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.

What the job covers

  • 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.
  • 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.

Degree language

  • Bachelor’s degree or equivalent practical experience.

Tools and skills named

Data
  • PostgreSQL5×
  • Databricks4×
  • ETL
  • MySQL
Go to market
  • Negotiation2×
  • Customer success
  • Go-to-market
  • Quota
  • SaaS
Cloud & infra
  • Microservices
  • Serverless
Models & research
  • Machine learning
Product & design
  • Product management

Words the posting leans on

  • lakebase15×
  • data10×
  • account9×
  • operational9×
  • business6×
  • key5×
  • postgres5×
  • sales5×
  • success5×
  • customer4×
  • experience4×
  • intelligent applications4×
  • motions4×
  • operational data4×
  • outcomes4×
  • partner4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.