Technical Account Manager, Enterprise

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 57 minutes agoStatus: Live

Job Summary

Serve as the technical backbone for enterprise customers building on Fireworks’ fast inference platform. Own post-sale onboarding through go-live, partnering on deployment, integration architecture, and performance benchmarking. Act as a trusted advisor on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture, while managing escalations and maintaining playbooks. Lead account health reviews (QBR/EBR), renewal strategy support, and expansion identification.

Location: London, New York, San Francisco, San Mateo

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 customers from PoC to production.
•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 and coordinate with Engineering and Support; maintain runbooks and playbooks to reduce time-to-resolution.
•Own technical narratives for QBRs/EBRs, partner on renewal strategy with Account Executives, identify expansion opportunities, and forecast account health risks.

Key Requirements

•4+ years in a technical, customer-facing role (Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success) in an enterprise software or AI/ML company.
•Strong technical foundation with APIs and cloud infrastructure (AWS/GCP/Azure), plus enough hands-on coding ability to debug integrations.
•Direct experience with LLMs in production, including prompt engineering, fine-tuning, RAG, and/or agent architectures.
•Track record managing enterprise relationships end-to-end, including technical delivery, executive communication, and commercial outcomes (renewal/expansion).
•Excellent written and verbal communication to translate between ML engineers and business stakeholders.

Experience:4+ yearsAI/MLEnterprise softwareTechnical account management

Skills:CommunicationStakeholder managementProblem-solving

Tech Stack:APIsCloud infrastructureAWSGCPAzureSSOQuantizationRAGPrompt engineeringFine-tuningAgent architecturesModel routingLow-latency inferenceModel serving infrastructurePyTorchLlamaMixtralDeepSeek

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

Loading job details...

Preparing the role view and application actions.

Fireworks AI

1 day 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: 57 minutes agoStatus: Live

Job Summary

Location: London, New York, San Francisco, San Mateo

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 customers from PoC to production.
•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 and coordinate with Engineering and Support; maintain runbooks and playbooks to reduce time-to-resolution.
•Own technical narratives for QBRs/EBRs, partner on renewal strategy with Account Executives, identify expansion opportunities, and forecast account health risks.

Key Requirements

•4+ years in a technical, customer-facing role (Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success) in an enterprise software or AI/ML company.
•Strong technical foundation with APIs and cloud infrastructure (AWS/GCP/Azure), plus enough hands-on coding ability to debug integrations.
•Direct experience with LLMs in production, including prompt engineering, fine-tuning, RAG, and/or agent architectures.
•Track record managing enterprise relationships end-to-end, including technical delivery, executive communication, and commercial outcomes (renewal/expansion).
•Excellent written and verbal communication to translate between ML engineers and business stakeholders.

Experience:4+ yearsAI/MLEnterprise softwareTechnical account management

Skills:CommunicationStakeholder managementProblem-solving

Company Brief

Fireworks AI

Industry: SaaS

Website