Technical Customer Success Manager (AI)

TL;DR

Technical Customer Success Manager (AI): Shaping how hirify.global partners with users and customers to ensure successful onboarding, adoption, and long-term growth with an accent on architecture, implementation, and general AI Engineering Life Cycle. Focus on providing hands-on guidance for LLM observability and evaluation, debugging issues, and translating customer needs into actionable product feedback.

Location: Must work in-person ~4 days/week in San Francisco or Berlin

Company

hirify.global is an open-source LLM Engineering Platform helping teams build useful AI applications, backed by Y-Combinator, Lightspeed, and General Catalyst.

What you will do

• Act as a trusted advisor to technical stakeholders from cutting edge AI companies using and scaling hirify.global.
• Lead technical onboarding and advise on architecture, implementation, and general AI Engineering Life Cycle.
• Provide hands-on guidance and best practices for LLM observability and evaluation.
• Help customers debug issues as the main point of contact for technical and operational questions.
• Track product adoption and proactively help customers increase value from hirify.global.
• Translate customer needs into actionable product feedback and maintain feedback loops.

Requirements

• Experience in solutions engineering, solutions architect, or forward deployed engineer at a SaaS/devtool company.
• Strong technical aptitude, comfortable debugging APIs, code, logs, and understanding developer workflows.
• Excellent communication and problem-solving skills.
• Comfortable working cross-functionally in a fast-moving startup.
• Willingness to work in-person ~4 days/week.

Nice to have

• Familiarity with hirify.global, open-source, or developer-focused products.
• Experience supporting or building with LLM/AI tools.
• Entrepreneurial mindset.

Culture & Benefits

• Work with sophisticated technical users and top engineering teams.
• Competitive salary & equity.
• Rapid customer and revenue growth.
• Extreme autonomy and focus on outcomes.
• Only two short scheduled meetings per week.
• Prioritized in-office collaboration, learning, and ownership.