TL;DR
Partner Technical Lead (AI): Lead the design and integration of IBM SaaS products into partner ecosystems, focusing on AI-powered solutions and cloud-native architectures. With an accent on multi-product solution architectures and partner technical engagement, focus on leading discovery workshops, technical strategy planning, and ensuring optimal embedded solution performance.
Company
IBM is a global technology and consulting corporation known for innovation in AI, cloud computing, and hybrid cloud solutions, operating in over 175 countries.
What you will do
- Design embedded solutions integrating IBM SaaS products with partner offerings across AWS and IBM Cloud.
- Own technical content of Joint Strategy Plans and lead technical discovery workshops with partner executives.
- Conduct Architecture Health Checks and track SaaS consumption metrics to align partner releases with IBM’s roadmap.
- Identify expansion opportunities and present partnership value to executive stakeholders.
- Coordinate multi-party delivery models across IBM teams and vendors.
Requirements
- Must have 3+ years in partner-facing or ecosystem roles with experience in solutions or cloud architecture.
- Strong knowledge of AI/ML platforms, cloud-native architectures, Kubernetes, microservices, and SaaS deployment.
- Excellent communication skills with ability to present to C-level executives and translate technical/business needs.
- Ability to work without visa sponsorship; must have work authorization.
- High school diploma required; bachelor’s degree preferred.
Nice to have
- Experience with IBM SaaS portfolio including watsonx.ai, Guardium, Instana, Apptio, DataStax, and HashiCorp.
- Familiarity with AWS and IBM Cloud platforms.
- Experience in fintech, financial services, or regulated industries.
- IBM or AWS certifications.
Culture & Benefits
- Comprehensive healthcare benefits including medical, dental, vision, and mental health coverage.
- Financial programs such as 401(k), pension plans, stock purchase plans, and performance-based incentives.
- Generous paid time off including holidays, sick leave, vacation, and parental bonding leave.
- Access to AI-driven personalized learning platforms and industry-recognized certifications.
- Diverse and inclusive employee resource groups and volunteer opportunities.
