# Technical Account Manager, Enterprise

**Company:** [Fireworks AI](https://hotfix.jobs/companies/fireworks-ai)
**Location:** New York, NY, San Mateo, CA
**Role:** Sales Engineering
**Experience:** 4+ years
**Skills:** LLMs, Prompt Engineering, Fine-Tuning, RAG, agent architectures, AWS, GCP, Azure, APIs, Cloud Infrastructure
**Posted:** 2026-07-28

> Serve as the primary technical point of contact for strategic enterprise accounts using Fireworks AI's LLM inference platform. Own post-sale deployment, adoption, troubleshooting, and expansion while advising on model optimization, prompt engineering, and production best practices.

## Job Description

## Onboarding & Technical Deployment
- 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

## Trusted Advisor & Adoption
- 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 their usage matures
- Drive usage against business objectives — not just technical enablement, but measurable outcomes (latency SLAs, cost per token, model quality, uptime)

## Troubleshooting & Escalation Management
- 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

## Voice of the Customer
- Synthesize patterns across your 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 what customers are building and what Fireworks ships next

## Expansion, Renewal & Business Reviews
- 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: 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
- 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

## Nice-to-Haves
- Experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)

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**Apply:** https://hotfix.jobs/jobs/c0ad8b48-7833-4966-9760-0106c9992fef
**Canonical:** https://hotfix.jobs/jobs/c0ad8b48-7833-4966-9760-0106c9992fef