Senior Technical Customer Success Manager (AI)

Location: Remote, United States; ideally located in the EST time zone

Base salary: $96,000–$139,000 per year, plus variable commission, equity, and benefits.

Company

hirify.global provides an enterprise AI platform for sourcing, securing, building, and deploying open-source software, with a focus on Python, data science, and machine learning.

What you will do

• Own a portfolio of strategic enterprise accounts and build relationships with technical practitioners, security teams, IT architects, executives, and other stakeholders.
• Guide onboarding and adoption, including environment setup, CVE policy configuration, private repositories, channel tokenization, coding assistants, and workflow enablement.
• Monitor license utilization, package and channel usage, health scores, and technical signals to identify adoption gaps, security risks, churn risks, and expansion opportunities.
• Coordinate mitigation plans with Renewal Managers, Support, Field Development Engineers, Account Executives, and Solutions Engineers.
• Build technical narratives for QBRs, quantify customer value, support renewal and expansion conversations, and communicate customer requirements to Product and Engineering.
• Develop AI-enabled success workflows, improve playbooks and team infrastructure, and mentor less experienced team members.

Requirements

• 6+ years of experience in a technical customer-facing role such as customer success, technical account management, or solutions engineering.
• Experience owning a $6M+ book of business and retention and growth outcomes for large enterprise accounts with 10,000+ employees.
• Understanding of enterprise security and governance concepts, including CVE exposure, package provenance, air-gapped and private repository deployment, SSO, and gated registration.
• Experience with data science, machine learning, or developer tooling platforms such as Databricks, Domino, Dataiku, or SageMaker.
• Ability to read logs and error output, triage technical issues, manage multi-stakeholder projects, and communicate technical value to executive audiences.
• Bachelor's degree in a technical field or equivalent practical experience; strong AI fluency in daily work.

Nice to have

• Working fluency with Python packaging and environment management, including conda, pip, and pixi.
• Experience with open-source ecosystems, software supply chain security, dependency management, license compliance, and vulnerability workflows.
• Experience building playbooks, engagement templates, coaching programs, or other team infrastructure.
• Experience in a high-growth, early-stage, open-source, or data science-oriented company.
• Experience creating AI-enabled workflows adopted by other team members.

Culture & Benefits

• Fully remote setup with flexible hours.
• Flexible vacation policy, medical, dental, and vision insurance.
• Short- and long-term disability coverage and paid parental leave.
• Monthly wellness stipend, employee assistance program, and mental health resources.
• Collaborative, performance-oriented environment focused on clarity, candor, inclusion, and employee wellbeing.