Customer Outcomes Manager (AI)

TL;DR

Customer Outcomes Manager (SaaS/AI): Managing the full post-sales customer lifecycle by merging support and success functions with an accent on driving product adoption and resolving technical issues using AI tools. Focus on leveraging AI agents for ticket triage and scaling impact across a B2B portfolio.

Location: Remote (Netherlands)

Company

hirify.global is building an AI-native platform called Computer that unifies data sources and workflows to enable human-AI collaboration and team intelligence.

What you will do

• Manage the end-to-end ticket lifecycle using AI assistance for drafting, triage, and resolution at scale.
• Drive product adoption by building onboarding plans, setting value milestones, and guiding customers to full activation.
• Monitor usage trends via AI anomaly signals to initiate proactive outreach and resolve friction.
• Develop account success plans and quantify business value (time saved, cost avoided) for customer reviews.
• Maintain multi-threaded relationships with executive sponsors and conduct regular QBRs.
• Identify expansion opportunities and lead formal renewal reviews for expiring accounts.

Requirements

• Must be based in the Netherlands.
• 3+ years of experience in customer-facing technical roles such as Support Engineering, Solutions Engineering, CSM, or TAM.
• Technical proficiency with APIs and the ability to communicate root causes to both engineers and customers.
• Hands-on experience with CRM, ticketing systems, workflow automation, or developer tools.
• Experience managing a large B2B portfolio end-to-end in enterprise SaaS environments.
• Strong communication skills for writing RCA reports and delivering executive presentations.

Culture & Benefits

• AI-native operating model utilizing an AI teammate to eliminate repetitive manual work.
• Unified post-sales function that removes silos between support and success teams.
• Opportunity to shape a new operating model in a venture-backed, high-growth environment.
• Culture focused on Team Intelligence and the convergence of human judgment with AI scalability.