Databricks Alliance Partner

Role Overview
We are hiring a Databricks Alliance Sales Lead for the US to drive partner-led growth, co-sell execution, and large deal creation across enterprise accounts.

This is a high-impact, revenue-owning role focused on building a scalable Databricks-led growth engine. The mandate is clear. Create pipeline, shape deals, and close business by leveraging the Databricks ecosystem.

The role requires someone who can operate at field level with account teams and at executive level with partner leadership, while simultaneously building a differentiated data and AI practice.

Key Responsibilities
1. Own Databricks-led Revenue in the US
· Own partner-sourced and partner-influenced pipeline and bookings
· Build and scale co-sell motions with Databricks field teams across key regions
· Drive joint pursuits in Fortune 1000 accounts

2. Strategic Account Penetration
· Identify and target top 20–30 joint accounts with Databricks
· Build account-level GTM strategies with clear revenue pathways
· Embed into active Databricks pursuits and influence deal direction

3. Build and Scale Databricks Practice
· Define US-specific Databricks practice strategy aligned to market demand
· Focus areas include:
o   Lakehouse modernization
o   GenAI and enterprise AI use cases
o   Real-time data platforms and analytics
· Drive creation of industry-aligned accelerators and repeatable offerings

4. Joint GTM and Solution Creation
· Co-create high-value, industry-specific solutions with Databricks
· Develop clear value propositions and executive-level messaging
· Drive joint campaigns, events, and pipeline generation programs

5. Deal Shaping and Closure
· Play an active role in deal structuring, solution positioning, and pricing strategy
· Ensure strong services attach and margin optimization
· Accelerate pipeline-to-revenue conversion

6. Hyperscaler Alignment and Marketplace
· Drive triangular GTM motions with Databricks and hyperscalers (AWS, Azure, Google Cloud Platform)
· Leverage marketplace and consumption models to accelerate deals
· Align with cloud sellers for joint account penetration

7. Executive Engagement and Governance
· Build relationships with Databricks regional leaders, sales heads, and partner teams
· Run quarterly executive reviews and pipeline governance
· Establish a disciplined operating cadence focused on revenue outcomes

Success Metrics (Critical)
· Partner-sourced pipeline (US)
· Partner-influenced bookings
· Number and value of joint pursuits
· Win rate in Databricks-led deals
· Practice revenue tied to Databricks offerings
· Time to first deal and scale velocity

Candidate Profile
Experience
· 6–12 years in alliances, enterprise sales, or data platform consulting
· Strong, hands-on experience with the Databricks ecosystem
· Proven track record of closing large data, analytics, or AI transformation deals in the US market
· Experience working with Fortune 500/1000 clients

Capabilities
· Good understanding of:
o   Lakehouse architecture
o   Data engineering, analytics, and AI/ML platforms
o   Emerging GenAI ecosystem
· Strong ability to connect business outcomes to data platform investments
· Experience running co-sell motions with hyperscalers and platform partners

Leadership Traits
· Strong hunter mindset with alliance leverage
· Ability to operate at CXO level and influence large deals
· Builder mentality with zero-to-one and scale experience
· High ownership and execution discipline

What Success Looks Like (First 6–12 Months)
· Established strong field alignment with Databricks US teams
· Built a qualified, growing pipeline across priority accounts
· Closed lighthouse deals with strong services revenue
· Launched 2–3 scalable, industry-focused offerings
· Positioned Neurealm as a credible Databricks execution partner in the US