About the company
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform.
Responsibilities
- Own and implement end-to-end op-model across Sales, FE, Product, Engineering, Developer Relations, Partners.
- Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals.
- Synthesize learnings from internal and external stakeholders into durable best practices.
- Wield two-way influence on Databricks’ Field, Product & Engineering leadership.
- Own and engage with technical & business customer and partner executives.
- Serve as a visible evangelist & thought leader.
- Select & design the industry’s programs across products across the full funnel.
- Create high-quality and scalable program assets.
- Drive continuous field adoption of program assets and outcomes.
- Collaborate with partnership, ISV, and Data Marketplace teams.
- Deliver commercial outcomes by establishing measurement and monitoring systems.
- Drive cross-functional leadership accountability for program adoption and outcomes.
Requirements
- COO mindset with proven ability to act as operational backbone.
- Track record of defining and translating complex industry strategies into durable commercial motions.
- Experience developing global, scalable GTM frameworks.
- Technical knowledge on Databricks, AI & LLM, Lakehouse, Lakebase, governance.
- Strong point of view on macro trends in high-growth SaaS.
- Strong understanding of open-source ecosystem.
- Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).
- Deep understanding of sales play mechanics.
- 'Multiplier' mindset with passion for activating large-scale field organizations.
- 'Doer' mindset with ability to operate in fast-paced, ambiguous environment.
- Ability to influence & drive outcomes across senior executives & global teams.
- Skill in collaborating with Product, Engineering, and BD leadership.