Enterprise AI Deployment Lead

Fdetimes; San Mateo (CA); Hybrid; USD 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Fireworks AI seeks an AI Deployment Strategist to be the technical backbone for customer deployments on our fast inference platform. You will bridge customer engineering teams with Fireworks product, engineering, and applied AI teams to drive onboarding and long-term account health for production AI workloads at scale.

This hybrid role combines deep technical work (debugging inference pipelines, discussing quantization tradeoffs, model routing) with business judgment (QBRs, renewal risk,

Qualifikationen

• Bachelor's degree required.
• 4+ years in a technical, customer-facing role.
• Strong foundation with APIs and cloud infrastructure (AWS/GCP/Azure).
• Direct experience with LLMs in production.
• Track record of managing enterprise relationships end-to-end: technical delivery, executive communication, and commercial outcomes.

Aufgaben

• Map the customer's technical and organizational landscape, identifying stakeholders and success criteria.
• Quantify the business case for deployment and define a scoped pilot with milestones.
• Own post-sale technical onboarding from kickoff through go-live and production transition.
• Serve as primary technical contact for a portfolio of strategic accounts and advise on model selection, fine‑tuning, and latency/cost optimization.
• Drive usage against business objectives and manage renewal/expansion discussions.
• Maintain runbooks and playbooks to reduce time-to-resolution across accounts.

Kenntnisse

APIs

Cloud infra

Coding ability

LLMs in prod

Executive comms

Ausbildung

Bachelor's degree

Tools

AWS

GCP

Azure

Jobbeschreibung

Fireworks AI seeks an AI Deployment Strategist to be the technical backbone for customer deployments on our fast inference platform. You will bridge customer engineering teams with Fireworks product, engineering, and applied AI teams to drive onboarding and long-term account health for production AI workloads at scale.

This hybrid role combines deep technical work (debugging inference pipelines, discussing quantization tradeoffs, model routing) with business judgment (QBRs, renewal risk,