6 days ago

Technical Account Manager, Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Own the post-sale technical relationship for strategic enterprise accounts using Fireworks’ inference platform. Serve as a trusted advisor for onboarding, integration architecture, SSO/security configuration, and performance benchmarking, while driving adoption of LLMs through fine-tuning, RAG, latency/cost optimization, and agent architecture. Triage production escalations, manage QBR/EBR narratives with ROI and renewal strategy, and translate customer feedback into product and engineering roadmaps.

Location: New York, San Mateo, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key 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 transition from PoC to production and build joint success plans with milestones, ownership, and timelines.
•Serve as the primary technical point of contact for strategic accounts, advising on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture.
•Act as the technical escalation point for production issues, coordinating with Engineering and Support and maintaining runbooks and playbooks to reduce time-to-resolution.
•Own the technical narrative for QBRs/EBRs, partner with the Account Executive on renewal strategy, forecast account health risks, and identify expansion opportunities.

Pay and Benefits

Salary: USD 170,000 - 220,000 annually

Equity and Bonus:Equity

Key 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.
•Comfort with APIs, cloud infrastructure (AWS/GCP/Azure), and hands-on coding ability to debug integrations.
•Direct experience with LLMs in production, including prompt engineering, fine-tuning, RAG, and/or agent architectures.
•Experience managing enterprise relationships end-to-end, including technical delivery, executive communication, and commercial outcomes like renewal and expansion.
•Excellent written and verbal communication skills to translate between ML engineers and business stakeholders.

Experience:4+ yearsEnterprise softwareAI/MLLLMs

Skills:CommunicationOwnership

Tech Stack:APIsAWSGCPAzureSSOSecurity configurationModel deploymentIntegration architecturePerformance benchmarkingQuantizationModel routingFine-tuningPrompt engineeringLatency optimizationCost per tokenUptime SLAsRAGAgent architecturesInference optimizationModel serving infrastructure

Company Brief

Fireworks AI

Develops AI-driven tools to generate and optimize visual marketing content for brands and creators, automating production of short-form videos and multimedia assets for social platforms to improve engagement and scale creative workflows.

Industry: SaaS

Website

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Fireworks AI

6 days ago

Technical Account Manager, Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: New York, San Mateo, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key 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 transition from PoC to production and build joint success plans with milestones, ownership, and timelines.
•Serve as the primary technical point of contact for strategic accounts, advising on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture.
•Act as the technical escalation point for production issues, coordinating with Engineering and Support and maintaining runbooks and playbooks to reduce time-to-resolution.
•Own the technical narrative for QBRs/EBRs, partner with the Account Executive on renewal strategy, forecast account health risks, and identify expansion opportunities.

Pay and Benefits

Salary: USD 170,000 - 220,000 annually

Equity and Bonus:Equity

Key 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.
•Comfort with APIs, cloud infrastructure (AWS/GCP/Azure), and hands-on coding ability to debug integrations.
•Direct experience with LLMs in production, including prompt engineering, fine-tuning, RAG, and/or agent architectures.
•Experience managing enterprise relationships end-to-end, including technical delivery, executive communication, and commercial outcomes like renewal and expansion.
•Excellent written and verbal communication skills to translate between ML engineers and business stakeholders.

Experience:4+ yearsEnterprise softwareAI/MLLLMs

Skills:CommunicationOwnership

Company Brief

Fireworks AI

Industry: SaaS

Website