AI Deployment Strategist
Remote • San Mateo • FullTime
Posted 11d ago
About the job
Fireworks AI is seeking an AI Deployment Strategist to serve as the technical backbone for customer relationships on their fast inference platform. This hybrid technical and commercial role involves bridging customer engineering teams with Fireworks' product, engineering, and applied AI teams to ensure successful onboarding, deep technical adoption, and long-term account health for companies running large-scale production AI workloads. You will be responsible for understanding customer needs, defining success criteria, managing the end-to-end relationship from technical evaluation through production, and acting as a "product manager for the customer's problem."
Responsibilities
- Map customer technical and organizational landscapes and define "success" criteria.
- Quantify the business case for AI deployments, including cost, latency, and ROI.
- Author internal scoping briefs for AI Field Engineering.
- Own the post-sale technical relationship, including model deployment, integration, security, and performance.
- Partner with AI Field Engineering to transition from Proof of Concept (PoC) to production.
- Build and execute joint success plans with clear milestones and ownership.
- Serve as the primary technical point of contact for strategic accounts, building relationships with engineering leaders and ML/platform teams.
- Advise customers on model selection, fine-tuning, prompt engineering, optimization, and agent architecture.
- Drive usage against business objectives and measurable outcomes.
- Act as the technical escalation point for production issues, coordinating resolution with Engineering and Support.
- Maintain runbooks and playbooks to reduce time-to-resolution.
- Synthesize customer patterns and feedback for product and engineering roadmaps.
- Represent customer priorities in internal planning.
- Track feedback loops between customer builds and product shipments.
- Own the technical narrative for business reviews (QBRs/EBRs).
- Partner with Account Executives on renewal strategy and identify expansion opportunities.
- Forecast and flag account health risks to ensure retention.
Requirements
- 4+ years in a technical, customer-facing role (e.g., Deployment Strategy, Technical Account Management, Solutions Engineering).
- Strong technical foundation with APIs, cloud infrastructure (AWS/GCP/Azure), and debugging capabilities.
- Direct experience with LLMs in production, including understanding of probabilistic model behavior, prompt engineering, fine-tuning, RAG, and/or agent architectures.
- Track record of managing enterprise relationships end-to-end, including technical delivery, executive communication, and commercial outcomes.
- Excellent written and verbal communication skills, able to translate between technical and business stakeholders.
- Comfortable owning ambiguity in a fast-moving, early-stage function.
- Experience scoping high-value engagements, including value-based framing, defining pilot success criteria, and writing scoping documents or PRDs.
- Bonus: Experience with inference optimization, model serving infrastructure, or open-source model ecosystems.