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Databricks

Builds cloud software for data analysis and AI

Lakebase Sales Specialist Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeChinaNo salary listed

About the Job

Requirements

  • At least 7 years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals in the Greater China region.
  • Proven success selling data platforms, operational databases such as Postgres, MySQL, or cloud-native DBaaS, or adjacent data and 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 supports AI and analytics strategies.
  • Ability to sell to technical stakeholders, including developers, architects, and data engineers, and business stakeholders, including product leaders, operations, and line-of-business owners.
  • Demonstrated experience leading specialist or overlay sales motions and working jointly with core Account Executives to create and progress opportunities.
  • Ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
  • Value-selling skills, including discovering customer pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
  • Bachelor’s degree or equivalent practical experience.
  • Business proficiency in Mandarin and experience in the GCR territory are required. The successful candidate will engage customers in Mandarin for technical and business discussions, sales challenges, and value propositions.

Responsibilities

  • Drive new Lakebase revenue by identifying, qualifying, and closing opportunities in a defined territory, in partnership with regional Account Executives and the broader account team.
  • Articulate Lakebase’s outcomes for platform teams and developers, data teams, and central IT, including faster feature delivery, simpler operational data architectures, improved governance, and cost efficiency.
  • Sell the value of fully managed Postgres for intelligent applications and position Lakebase for operational workloads powering real-time, AI-driven experiences.
  • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, engaging executive, technical, and line-of-business stakeholders.
  • Orchestrate proof-of-value engagements and proofs of concept that validate Lakebase for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, partnering with solution architects and specialists.
  • Compete with legacy and cloud-native operational databases using competitive materials, benchmarks, and customer references.
  • Align sales activity to business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
  • Partner 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 broader sales field by sharing Lakebase best practices, success stories, and sales motions.
  • Engage application development teams in strategic focus accounts to create new intelligent applications leveraging Lakebase.
  • Drive longer-term Postgres standardization and migration within strategic Databricks accounts.
  • Track revenue, pipeline, and key business observations, and identify areas needing additional focus or support.
  • Partner with account teams to engage priority accounts across the global DB700 and drive strategic opportunities from initial engagement through successful outcomes.
  • Build and execute enablement plans that help Account Executives and Solution Architects carry the Lakebase conversation when the specialist is not present.
  • Contribute to global AMAs and internal forums, and represent Databricks at key first- and third-party events.

Desired 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 such as AWS, Azure, and GCP, including how operational databases fit into broader data and AI strategies.
  • Understanding of reverse ETL, real-time decisioning, and operational analytics use cases and how they create 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-selling motions.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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