Strategic Data & AI Partnerships Lead

EngineersOfAI

Raleigh (NC)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Restricted Stock Units (RSUs) and mint
Merit-based refresh grants
Parental leave—24 weeks

Job summary

Celonis is seeking a strategic Enterprise Software Business Development leader to own the end-to-end partnership lifecycle with Data & AI partners. You will position Celonis as the essential context layer for Enterprise AI, identify high-impact AI use cases, design joint solutions, and manage OEM accounts to drive AI-enabled automation.

You will bridge partners with Applied AI, Engineering, and Product teams.

Qualifications

  • 4–6+ years of experience in Enterprise Software, Business Development, or AI/ML solution consulting.
  • Ability to build business cases for AI-driven transformation and negotiate complex commercial frameworks.
  • Strong technical acumen in AI/Data stack and how Process Intelligence integrates with AI agents.

Responsibilities

  • Architect the AI Ecosystem and show how the Process Intelligence Graph provides context for AI and LLM apps.
  • Drive AI-first sales cycles with tier-one AI and software vendors.
  • Enable agentic workflows and ensure OEM offerings power autonomous business actions.
  • Co-innovate joint solutions and build ROI-focused AI value cases.
  • Drive AI adoption and manage OEM accounts for active usage and platform stickiness.
  • Shape the AI roadmap by capturing partner feedback for AI/ML needs.
  • Validate integration of LLMs and data strategies with engineering teams.

Skills

Enterprise Software
Business Development
AI/ML Solution Consulting
Executive Stakeholder Management
Technical AI/Data stack

Education

Bachelor's degree in Business/Engineering/CS

Tools

LLMs
Vector Databases
Process Intelligence

Job description

Celonis is seeking a strategic Enterprise Software Business Development leader to own the end-to-end partnership lifecycle with Data & AI partners. You will position Celonis as the essential context layer for Enterprise AI, identify high-impact AI use cases, design joint solutions, and manage OEM accounts to drive AI-enabled automation.

You will bridge partners with Applied AI, Engineering, and Product teams.

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