Technical Account Manager (AI)

Location: Hybrid in New York, the San Francisco Bay Area, or San Mateo, United States

Salary: $140,000–$210,000 per year plus equity

Company

hirify.global provides a platform for building, training, and serving specialized AI models for enterprise data, workflows, and products.

What you will do

• Own post-sale technical relationships from kickoff through go-live, including model deployment, integration architecture, SSO and security configuration, and performance benchmarking.
• Partner with AI Field Engineering to move customer proofs of concept into production and create joint success plans with defined milestones and ownership.
• Advise engineering leaders, ML and platform teams, and power users on model selection, fine-tuning, prompt engineering, RAG, agent architectures, and latency and cost optimization.
• Coordinate technical escalations with Engineering and Support, maintaining runbooks and playbooks that reduce resolution time.
• Feed customer patterns and priorities into product and engineering roadmaps, particularly around model support, tooling, and platform reliability.
• Lead technical narratives for QBRs and EBRs, support renewal strategy, identify expansion opportunities, and proactively manage account health risks.

Requirements

• 4+ years of experience in Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company.
• Strong foundation in APIs and cloud infrastructure across AWS, GCP, or Azure, with hands-on coding ability to debug integrations.
• Direct production experience with LLMs, including probabilistic model behavior, prompt engineering, fine-tuning, RAG, or agent architectures.
• Experience managing enterprise relationships end-to-end across technical delivery, executive communication, renewals, and expansion.
• Excellent written and verbal communication for translating between ML engineers and business stakeholders.
• Ability to work independently in an ambiguous, fast-moving function and help shape the TAM playbook.

Nice to have

• Experience with inference optimization, model serving infrastructure, or open-source model ecosystems such as Llama, Mixtral, or DeepSeek.

Culture & Benefits

• Work on AI infrastructure, low-latency inference, and scalable model serving.
• Collaborate with engineers and AI researchers on emerging AI technologies.
• Join a fast-growing environment with significant ownership and direct product impact.
• Equity is included in the compensation package.