Fireworks
AI Deployment Strategist
San Mateo, Remote. Posted 2 months ago
The role
You will act as the technical backbone for customer relationships by driving onboarding, technical adoption, and long-term account health. You will manage the technical and commercial aspects of deploying AI workloads on the Fireworks inference platform.
What you will do
- Partner with Sales to map customer technical and organizational landscapes
- Quantify business cases for deployment and define scoped pilots
- Author internal scoping briefs for AI Field Engineering
- Own post-sale technical relationships from kickoff through go-live
- Partner with AI Field Engineering to transition PoC to production
- Build and execute joint success plans
- Serve as the primary technical point of contact for strategic accounts
- Advise customers on model selection, fine-tuning, and optimization
- Act as the technical escalation point for production issues
- Synthesize customer patterns to inform product and engineering roadmaps
Required qualifications
- Bachelor's degree
- 4+ years in a technical, customer-facing role: Deployment Strategy, Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise so
- Strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and hands-on coding ability to debug integrations
- Direct experience with LLMs in production
- Track record of managing enterprise relationships end-to-end
- Excellent written and verbal communication
- Comfortable owning ambiguity in a fast-moving, early-stage function
Nice to have
- Experience scoping high-value engagements
- Experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)
Benefits
- Solve Hard Problems
- Build What’s Next
- Ownership & Impact
- Learn from the Best
About the company
Fireworks is a Series D company providing a platform for specialized intelligence, enabling companies to build, train, and serve AI models. The company is valued at $17.5 billion and is backed by investors including NVIDIA and Sequoia Capital.