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V - Senior Account Manager

Salary
$100K–$120K
Hiring from
United States
Work type
Remote
Posted
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(This is for a RevPilots' client) Senior Account Manager (Account Growth / Expansion Leader) – Large Mid-Market, Small Enterprise Location United States (preferred near major enterprise hubs) Compensation Base Salary: $100,000–$120,000 DOE | Variable: $40,000–$80,000 | OTE: $140,000-$200,000+ Benefits Health, Dental, and Vision Insurance Role Overview Our client is seeking a Senior Account Manager (SAM) to drive account expansion within existing large mid-market and enterprise clients. This role focuses on account mining rather than new logo acquisition. The SAM will expand our client's footprint across enterprise clients by: Identifying new buying centers Expanding Databricks-led data initiatives Attaching managed services and recurring revenue Introducing adjacent offerings (AI, Data Governance, DevOps, DataOps) Key Responsibilities 1. Strategic Account Expansion Manage top 10–20 strategic accounts Build deep relationships with CIO, CDO, VP Data, and Platform leaders Identify whitespace across business units 2. Revenue Growth Expand accounts through: Databricks platform expansion Data engineering programs AI / Agent solutions Data governance & quality Platform operations / managed services 3. Account Planning Develop structured plans including: Stakeholder maps Expansion roadmap Multi-year revenue targets Cross-business-unit strategy 4. Managed Services Attach Convert implementation work into: Data platform operations Optimization services AI monitoring Platform reliability programs 5. Internal Collaboration Work closely with delivery leaders, our client's Databricks partner teams, and solution architects to turn delivery success into expansion opportunities. Ideal Candidate Profile Experience 5–8 years in enterprise services sales Experience in mid-size consulting / services firms ($50M–$500M revenue) Proven success expanding existing accounts beyond $1M+ Strong experience in Data / Cloud / AI / Analytics services Preferred Background Databricks Snowflake Cloud data platforms AI / ML services

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