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Technical Account Manager, Enterprise

Fireworks AI· Go To Market
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Hybrid (London, UK; New York, NY; San Mateo, CA)full-timePosted 2mo ago

About the role

Technical Account Manager (TAM) at Fireworks AI acting as the technical backbone of customer relationships, driving onboarding, deep technical adoption, and account health for production AI workloads at scale. Hybrid technical/commercial role bridging customer engineering with Fireworks product, engineering, and applied AI teams.

Responsibilities

  • 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
  • Serve as the primary technical point of contact for a portfolio of strategic accounts, building deep relationships with engineering leaders, ML/platform teams, and power users
  • Advise customers on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture as usage matures
  • Drive usage against business objectives — measurable outcomes (latency SLAs, cost per token, model quality, uptime)
  • Act as the technical escalation point for production issues, coordinating with Engineering and Support to drive resolution
  • Maintain runbooks and playbooks that reduce time-to-resolution across the account portfolio
  • Synthesize patterns across accounts and feed them into product/engineering roadmaps
  • Represent customer priorities in internal planning around model support, tooling gaps, and platform reliability
  • Track feedback loop between customer builds and Fireworks roadmap
  • Own the technical narrative for quarterly/executive business reviews (QBRs/EBRs), including adoption trends, ROI, and roadmap alignment
  • Partner with Account Executive on renewal strategy and identify expansion opportunities tied to new use cases or workloads
  • Forecast and proactively flag account health risks before they threaten retention

Qualifications

  • 4+ years in a technical, customer-facing role: 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 hands-on coding to debug integrations
  • 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
  • Comfortable owning ambiguity in a fast-moving, early-stage function; shaping TAM playbook
  • Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)

Skills

Required:Technical account managementCloud platformsAPI integration / debuggingLLMs in production

Benefits

  • Equal opportunity employer
  • Inclusive environment for all innovators
Last updated Jul 29, 2026. Interested? Apply on the company site.
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