Fireworks AI · AI infrastructure
AI Deployment Strategist
- San Mateo (Hybrid), +1 more: New York
- Full-time
- $165,000 - $220,000 / year
Still open on Fireworks AI's site · checked 5 hours ago
- Education
- Bachelor's degree
- Posted
What you'll do
As written by Fireworks AI · Read the original
About the Role
Fireworks AI is looking for an AI Deployment Strategist to be the technical backbone of our relationship with customers building on our fast inference platform. You'll be the connective tissue between customer engineering teams and Fireworks' product, engineering, and applied AI teams — driving successful onboarding, deep technical adoption, and long-term account health for companies running production AI workloads at scale.
This is a hybrid technical/commercial role. You'll need enough depth to debug a customer's inference pipeline, discuss quantization tradeoffs, or advise on model routing and fine-tuning strategy — and enough business judgment to run a QBR, spot expansion opportunity, and manage renewal risk before it becomes a problem. Think of it as "product manager for the customer's problem": you own the why and the what — scoping the business case, defining success criteria, and managing the relationship end-to-end. You're embedded with your accounts from early technical evaluation through production and beyond.
Requirements
What We're Looking For
Bachelor's degree required
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 software or AI/ML company
Strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and enough hands-on coding ability to debug integrations, not just describe them
Direct experience with LLMs in production — understanding of probabilistic model behavior, prompt engineering, fine-tuning, RAG, and/or agent architectures
Track record of managing enterprise relationships end-to-end: technical delivery, executive communication, and commercial outcomes (renewal/expansion)
Excellent written and verbal communication — able to translate between ML engineers and business stakeholders fluently
Comfortable owning ambiguity in a fast-moving, early-stage function; you'll be shaping the playbook for this role at Fireworks, not just following one
Experience scoping high-value engagements — value-based/TCO-ROI framing, defining pilot success criteria, writing scoping docs or PRDs — gained in a Deployment Strategist, Forward-Deployed Engineer, or similar "product manager for the field" capacity is a strong plus
Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)
Skills
Stack
- PyTorch
- AWS
- Google Cloud
- Azure
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.