Description
Databricks is seeking a Lakebase Associate Director to help customers modernise their operational data foundation with Databricks Lakebase, a fully-managed Postgres offering for intelligent applications.
The impact you will have:
- Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory.
- Lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT.
- Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads.
- Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close.
- Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications.
- Compete and win against legacy and cloud-native operational databases by leveraging 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.
- Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams.
What success looks like in this role:
- Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
- Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts.
The interview process is designed to evaluate candidates across four dimensions:
- Business ownership
- Strategic account engagement
- Field, account, & customer enablement
- Market voice and thought leadership
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8571578002