Databricks
Strategy&ExecutionAISpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Strategy & Execution AI Specialist at Databricks. Skills: AI-driven process engineering, Next-gen planning infrastructure. Design and deploy AI-assisted workflows. Automate territory design”
Industry & Context.
Solve manual workflows
What They're Looking For.
Must Have
2-4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role, Proficiency in SQL, Proficiency in Python (or similar scripting languages)
Nice to Have
Experience with BI tools, Experience with the Databricks platform
What You'll Do.
Design and deploy AI-assisted workflows
Automate territory design
Automate account assignment
Reengineer GTM headcount modeling
Reengineer capacity modeling
Move infrastructure away from spreadsheets
Build automated data pipelines
Build AI-prompt workflows
Build lightweight integrations
Connect SQL databases
Connect internal Databricks tools
Full Job Description
SLSQ427R323 The GTM Planning & Automation Specialist will help design, build, and scale Databricks’ next-gen global GTM planning processes. We are looking for a hungry, AI-native builder who views manual workflows as a technical challenge to solve. In this role, you will embed AI, and modern automation directly into our core planning workflows spanning territory assignment, quota modeling, and headcount tracking to transform how our global sales organization operates. The Impact You Will Have AI-Driven Process Engineering – Design and deploy AI-assisted workflows and agents to automate territory design and account assignment Intelligent Headcount & Quota Execution – Reengineer the GTM headcount and capacity modeling processes that connect Finance, HR, and Sales data Next-Gen Planning Infrastructure – Move our infrastructure away from fragile, legacy spreadsheets and toward scalable code, automated data pipelines, and AI-prompt workflows that improve accuracy and speed up planning cycles Data & Tool Integration – Build lightweight integrations and automations that connect Salesforce, SQL databases, and internal Databricks tools to ensure real-time data flow What We Look For 2–4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role—ideally within a fast-paced technology environment AI-Native Mindset – Proactive builder who regularly uses LLMs, API integrations, and code (Python/SQL) to automate tasks, and orchestrate complex prompts Data & Coding Fundamentals – Strong proficiency in SQL and Python (or similar scripting languages) to extract, clean, and manipulate large data structures. Experience with BI tools and the Databricks platform is a plus Process Automation Toolkit – Hands-on experience building automations or using workflow automation tools to connect disparate data systems A strong bias for action Thrives in ambiguity and a high-growth environment Pay Range Transparency Databricks is committed to fa
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