Senior Technical Customer Success Manager (AI)

Location: London, United Kingdom; fully remote setup

Company

hirify.global provides an enterprise AI platform for sourcing, securing, building, and deploying Python and open-source data science workloads.

What you will do

• Own a portfolio of strategic enterprise accounts and build relationships with data scientists, engineers, IT architects, security leaders, and executives.
• Accelerate onboarding and adoption, including environment setup, CVE policy configuration, private repositories, channel tokenization, and initial workflow adoption.
• Monitor usage health, license utilization, package and channel activity, and administrative signals to identify adoption gaps, security risks, churn risks, and expansion opportunities.
• Coordinate technical mitigation plans with Renewal Managers, Support, Field Development Engineers, Product, Engineering, and Solutions Engineering.
• Build technical narratives for QBRs, quantify customer value, and support renewal and expansion conversations with usage and security evidence.
• Develop AI-enabled success workflows, improve playbooks and documentation, and mentor less experienced team members within a cross-functional GTM pod.

Requirements

• At least 6 years of experience in a technical customer-facing role such as customer success, technical account management, or solutions engineering.
• Experience owning a £4 million+ book of business and retention and growth outcomes for large enterprise accounts with 10,000+ employees.
• Knowledge of enterprise security and governance, 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 with practitioner, executive, and C-suite audiences.
• Bachelor’s degree in a technical field or equivalent practical experience, with daily fluency in using and reviewing AI-generated work.

Nice to have

• Experience in a high-growth, early-stage, open-source, or data science-focused company.
• Working fluency in Python packaging and environment management, including conda, pip, and pixi.
• Knowledge of software supply chain security, dependency management, license compliance, and vulnerability workflows.
• Experience creating playbooks, engagement templates, peer coaching programs, or AI-enabled workflows adopted by others.

Culture & Benefits

• High-performance environment where results are recognized and rewarded.
• Collaborative culture centered on clarity, candor, care, and thoughtful discussion.
• Flexible hours and a fully remote work setup.
• Employee-focused support for wellbeing, professional growth, and work on data science, machine learning, and AI.