AI Partnerships Lead – Cloud & Data Ecosystems

Celonis; Redwood City (CA); Hybrid; USD 150,000 - 175,000; Full time

Benefits offered by this job

RSUs

Merit-based refresh grants

Unlimited PTO

Hybrid work model

Wellness programs

Job summary

Celonis is seeking a seasoned Partnerships professional to own end-to-end partner lifecycle with top Data & AI partners. You will position Celonis as the context layer for Enterprise AI, identify high-impact use cases, co-create agentic solutions, and manage OEM accounts to ensure Celonis drives intelligent automation.

You will collaborate with Applied AI, Engineering, and Product teams to validate feasibility and accelerate AI adoption, shaping the roadmap with executive stakeholders.

Qualifications

• 4-6+ years of experience in Enterprise Software, Business Development, or AI/ML Solution Consulting.
• Proven ability to build business cases for AI-driven transformation and negotiate complex commercial frameworks.
• Strong technical acumen in the AI/Data stack and integration with AI agents.

Responsibilities

• Architect the AI Ecosystem and demonstrate context for partner AI applications.
• Drive AI-first sales cycles with tier-one AI and software vendors.
• Enable Agentic Workflows and ensure OEM offerings power autonomous actions.
• Co-Innovate Joint Solutions and lead AI Value Workshops focused on ROI of AI-enriched processes.
• Drive AI Adoption and manage OEM accounts for ongoing platform stickiness.
• Shape the AI Roadmap by capturing partner feedback for Celonis product direction.

Skills

Enterprise software

Business development

AI/ML knowledge

Executive storytelling

Education

Bachelor's degree

Tools

Databricks

Snowflake

Microsoft

Job description

Celonis is seeking a seasoned Partnerships professional to own end-to-end partner lifecycle with top Data & AI partners. You will position Celonis as the context layer for Enterprise AI, identify high-impact use cases, co-create agentic solutions, and manage OEM accounts to ensure Celonis drives intelligent automation.

You will collaborate with Applied AI, Engineering, and Product teams to validate feasibility and accelerate AI adoption, shaping the roadmap with executive stakeholders.