Lakebase Account Executive

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

SLSQ327R175

While candidates in the listed location(s) are encouraged for this role candidates in other locations will be considered.

Remote - USA - All Major Cities

Databricks is seeking a Lakebase Sales Specialist Account Executive 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 Lakebases 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 organization.

What we look for:

7 years of 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.
Bachelors degree or equivalent practical experience.

Preferred qualifications:

Experience selling Postgres operational databases OLTP workloads or transactional cloud database services ideally within large or strategic accounts.
Familiarity with data platforms lakehouse architectures and cloud ecosystems (AWS Azure GCP) including how operational databases fit within broader data and AI strategies.
Understanding of reverse ETL real-time decisioning and operational analytics use cases and how they drive value for customer-facing and internal applications.
Exposure to AI-native and agent-driven applications that depend on low-latency highly scalable operational data services.
Prior experience in a high-growth category-creating environment helping shape new plays messaging and customer narratives.
Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

Required Experience:

SLSQ327R175While candidates in the listed location(s) are encouraged for this role candidates in other locations will be considered.Remote - USA - All Major CitiesDatabricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Da...

SLSQ327R175

While candidates in the listed location(s) are encouraged for this role candidates in other locations will be considered.

Remote - USA - All Major Cities

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 Lakebases 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 organization.

What we look for:

7 years of 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.
Bachelors degree or equivalent practical experience.

Preferred qualifications:

Experience selling Postgres operational databases OLTP workloads or transactional cloud database services ideally within large or strategic accounts.
Familiarity with data platforms lakehouse architectures and cloud ecosystems (AWS Azure GCP) including how operational databases fit within broader data and AI strategies.
Understanding of reverse ETL real-time decisioning and operational analytics use cases and how they drive value for customer-facing and internal applications.
Exposure to AI-native and agent-driven applications that depend on low-latency highly scalable operational data services.
Prior experience in a high-growth category-creating environment helping shape new plays messaging and customer narratives.
Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.