Databricks Series K Sales Trigger

Databricks just raised a $1B Series K. Pitch 20% cloud cost savings. Speed AI model deployment by 50%. Target Ali Ghodsi. Close the deal.

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🚀 Battle Card: Databricks

Quick trigger:
 
👤 Decision Maker in the News
 
💡 Why It Matters
  • This Databricks sales trigger signals aggressive enterprise AI investment and a need for scaled, cost-effective data operations. → Source
 
🎯 Core Pain Point
  • Scaling data platform performance without skyrocketing costs
  • Ensuring seamless AI model deployment across global teams
 
💰 What to Pitch
  • Primary: Cloud cost optimization solution → 20% cost savings on AI workloads
  • Expansion: MLOps platform managed services → 50% faster model deployment
 
🗺️ Quick Context
  • HQ: San Francisco, CA
  • Employees: ≈ 2,500
  • Rev: ≈ $1.2B
 

🤼 Competitive Intel

Which other vendors you’ll probably face to win Databricks’s business.
 
  • CloudHealth by VMwareCloud Cost Management
    • Unique edge: Granular visibility across AWS, Azure & GCP
    • Evaluated by IT & FinOps for multi-cloud ROI
  • ApptioTechnology Business Management
    • Unique edge: Real-time spend allocation dashboards
    • Evaluated by CFO & FinOps for budget transparency
  • FlexeraCloud Cost Optimization
    • Unique edge: Integrated license management
    • Evaluated by IT for compliance controls
  • DataRobotMLOps / AutoML
    • Unique edge: End-to-end model governance
    • Evaluated by Head of Data Science for traceability
  • MLflowMLOps Platform
    • Unique edge: Open source flexibility from the creators
    • Evaluated by DevOps for integration with Spark
 

✅ Do-Now Checklist

Connect with Ali Ghodsi on LinkedIn
Generate email + DM using the Databricks sales trigger Copy-My-Prompt block (Step 7) and send first touch
Schedule follow-ups in CRM (Day 3 & Day 10)
 

Next Step

Leverage this Databricks sales trigger for your next play—no fluff, all pipeline. Subscribe to NewsletterForLeads
 

🧠 Copy My Prompt for Personalized Cold Outreach

────────────────────────────
✏️ YOUR COMPANY
────────────────────────────
OUR_COMPANY   = ❑<your company>❑
OFFER_BRIEF   = ❑Cloud cost optimization for AI workloads❑
PROOF_METRIC  = ❑20% cost savings on AI workloads❑
CTA_STYLE     = ❑quick_call❑
TONE          = ❑punchy❑

────────────────────────────
📌 TARGET COMPANY
────────────────────────────
NAME        = Ali
COMPANY     = Databricks
DEPT        = ≈ TBD
SIZE        = ≈ TBD
BOTTLENECK  = Scaling data platform performance without skyrocketing costs
EVENT       = Series K Round
DETAIL      = Announced Series K Round
PAIN        = Ensuring seamless AI model deployment across global teams
SRC         = https://vcnewsdaily.com/databricks/venture-capital-funding/jybdjgftbx
SIM_CO      = ≈ TBD
WIN_METRIC  = 20% cost savings on AI workloads
NEXT_SIZE   = ≈ TBD
EMP_EST     = ≈ 2,500
REV_EST     = ≈ $1.2B

────────────────────────
TASK FOR CHATGPT
────────────────────────
Role: “NewsletterForLeads SDR-Assist”.
Validate any ≈ guesses via SRC.

EMAIL  (keep breaks):
Subject: ≈ TBD-person ≈ TBD

Ali—noticed your ≈ TBD team is ≈ TBD.

That’s when Scaling data platform performance without skyrocketing costs slows growth.

We helped ≈ TBD fix this with Cloud cost optimization for AI workloads.

Result: 20% cost savings on AI workloads.  
Quick call?

PS—next bottleneck hits ≈ ≈ TBD.

DM ≤45 words, TONE:
Saw your post about Announced Series K Round — Ensuring seamless AI model deployment across global teams.  
Cloud cost optimization for AI workloads. 20% cost savings on AI workloads.  
Quick chat?

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