AI Deployment StrategistActive$180K–$220K

Fireworks AI
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The opportunity

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…

What you'll do

  • Partner with Sales during late-stage deals and early post-sale to map the: customer's technical and organizational landscape — who the real stakeholders are, what "success" looks like, and where the risk sits

  • Quantify the business case for the deployment (cost-to-serve, latency/quality: targets, ROI vs. the customer's current approach) and define a scoped pilot with clear milestones and exit criteria

  • Author the internal scoping brief that AI Field Engineering builds against —: you own the "why" and "what," they own the "how"

  • Own the post-sale technical relationship from kickoff through go-live,: including model deployment, integration architecture, SSO/security configuration, and performance benchmarking

  • Partner with AI Field Engineering to deliver the successful transition from PoC to production

  • Build and execute joint success plans with clear milestones, ownership, and timelines

What they're looking for

  • + 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.)