AI Deployment Strategist

Highlights

• Own customer deployments from pilot scoping through production go-live at scale.
• Serve as trusted advisor driving measurable latency, cost, and quality outcomes.
• Shape product roadmaps by channeling voice of strategic AI customers internally.

What they offer

• Equity

Ideal candidate

A hybrid technical-commercial problem solver who thrives owning enterprise relationships end-to-end. You love debugging with engineers, translating value to executives, and shaping playbooks in ambiguous, fast-moving environments.

Requirements

• Experience in Deployment Strategy, Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company
• Strong technical foundation comfortable with APIs, cloud infrastructure (AWS/GCP/Azure) and hands-on coding to debug integrations
• Direct experience with LLMs in production including prompt engineering, fine-tuning, RAG, and/or agent architectures
• Track record managing enterprise relationships end-to-end across technical delivery, executive communication, and renewal/expansion
• Excellent written and verbal communication able to translate between ML engineers and business stakeholders
• Comfortable owning ambiguity in a fast-moving, early-stage function and shaping the playbook
• Experience scoping high-value engagements with value-based ROI framing, pilot success criteria, and scoping docs or PRDs