Technical Account Manager, Enterprise
About the role
Fireworks AI is seeking a Technical Account Manager (TAM) to lead the technical relationship with customers leveraging our fast inference platform. This role bridges the gap between customer engineering teams and Fireworks' product, engineering, and applied AI teams, ensuring successful onboarding, deep technical adoption, and long-term account health for companies operating at scale.
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 Proof of Concept (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.
Advises customers on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture as their usage matures.
Drive usage against business objectives—measurable outcomes like latency SLAs, cost per token, model quality, and 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 and engineering roadmaps.
Represent customer priorities in internal planning, particularly around model support, tooling gaps, and platform reliability.
Track a tight feedback loop between customer capabilities and Fireworks' product offerings.
Own the technical narrative for quarterly/executive business reviews (QBRs/EBRs), including adoption trends, ROI, and roadmap alignment.
Partner with the Account Executive on renewal strategy and identify expansion opportunities tied to new use cases, teams, or workloads.
Forecast and proactively flag account health risks before they threaten retention.
Requirements
4+ years in a technical, customer-facing role such as Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company.
A strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and sufficient hands-on coding ability to debug integrations, not just describe them.
Direct experience with Large Language Models (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 TAM playbook, not just following one.
Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.).
Qualifications
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.