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AI Deployment Strategist - Palo Alto

1 year

In short

The AI Deployment Strategist will drive adoption of AI solutions, working with customers from strategy to production. Requires 2+ years in client-facing roles, strong business acumen, AI knowledge, and communication skills. Based in Palo Alto hybrid, full-time.

Level
Mid-level Β· Full-time
Mistral AI
Mistral AI
  • AI Labs & Infrastructure

Builds open-weight large language models and AI platforms for enterprises.

0 open roles Β· usually open about 2 weeks

Role Summary

  • Drive the adoption and deployment of Mistral’s AI solutions.
  • Partner with senior executives to design AI roadmaps and collaborate with AI teams.
  • Ensure seamless transitions from presales to postsales.

What you will do

Strategic Discovery & Vision Setting

  • Lead executive-level workshops to identify business challenges and AI opportunities.
  • Co-create AI adoption roadmaps and articulate clear paths to value.
  • Collaborate with Account Executives to develop business cases and quantify ROI.

AI Solution Design & Deployment

  • Architect end-to-end AI solutions integrating Mistral’s models and platform.
  • Partner with Applied AI team to design, prototype, and deploy scalable AI solutions.
  • Own execution of pilot projects and proofs-of-value for full-scale deployment.

Value Realization & Customer Success

  • Serve as trusted advisor guiding customers' AI strategy to maximize value.
  • Monitor KPIs tied to business outcomes and communicate progress to sponsors.
  • Identify expansion opportunities to drive long-term partnerships.

Cross-Functional Collaboration

  • Bridge customers and Mistral’s teams to influence product and research roadmaps.
  • Develop reusable assets, best practices, and playbooks to scale go-to-market efforts.
  • Travel 30-60% for client relationship and on-site deployment support.

About you

  • 2+ years in a client-facing strategic role such as consulting, value engineering, or technical sales.
  • Degree in scientific fields like Computer Science, Data Science, or Engineering.
  • Strong business acumen, problem-solving, and ability to structure ambiguous challenges.
  • Executive presence and communication skills for senior stakeholder engagement.
  • Foundational AI/ML/Data Science knowledge with credibility to advise technical/non-technical audiences.
  • Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar).
  • Resilient, results-driven, collaborative leadership through influence.
  • Experience with sales qualification frameworks like MEDDPICC and value-based selling is a plus.

Why This Role Matters

  • Play a key role in enterprise AI adoption delivering measurable impacts.
  • Help turn strategic AI visions into production-ready solutions.
  • Make Mistral an indispensable partner for customers.
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