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saas machine learning stakeholder management ai📋 Description
- Own the end-to-end services portfolio for your product area.
- Map and improve the customer journey across digital experiences and CS tiers.
- Define customer outcomes and value anchors for offerings.
- Partner with the CX Engineering Platform team on tooling requirements and UAT.
- Create and maintain field enablement materials like playbooks and guides.
- Collaborate across teams to ensure consistent service experiences across lifecycle.
🎯 Requirements
- Experience in professional services, customer success, solutions architecture, or product management.
- Foundational knowledge in DevOps, app development, SDLC, or security concepts.
- Familiarity with AI/ML workflows and LLM capabilities for enterprise use.
- AI-forward approach with practical use of AI tools to improve speed and quality.
- Strong communication and stakeholder management across a remote, asynchronous org.
- Strong writing for clear requirements, summaries, and field-ready materials.
🎁 Benefits
- Health, finances, and well-being benefits
- Flexible paid time off
- Equity compensation and ESPP
- Growth and development fund
- Parental leave
- Home office support
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