Director, Professional Services
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What you'll do
- Lead and scale a technically capable, commercially disciplined customer delivery organization for an enterprise AI and agentic platform
- Own customer delivery from solution scoping through implementation, production deployment, acceptance, and transition into ongoing adoption and consumption
- Be accountable for enterprise implementations, AI and agent deployments, technical delivery, Managed Services, customer outcomes, Services economics, capacity planning, and repeatable execution across strategic customers
What they're looking for
- Strong Professional Services leadership experience
- Meaningful experience taking AI-enabled or agentic enterprise solutions from customer problem definition through production deployment and measurable business value
- Enterprise SaaS delivery experience
- Executive customer credibility
- Technical fluency across data, APIs, integrations, cloud platforms, AI workflows, and agents
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Resilinc is hiring a Director / Senior Director, Professional Services to lead and scale a technically capable, commercially disciplined customer delivery organization for an enterprise AI and agentic platform.
This leader will own customer delivery from solution scoping through implementation, production deployment, acceptance, and transition into ongoing adoption and consumption. They will be accountable for enterprise implementations, AI and agent deployments, technical delivery, Managed Services, customer outcomes, Services economics, capacity planning, and repeatable execution across strategic customers.
The right candidate brings strong Professional Services leadership and meaningful experience taking AI-enabled or agentic enterprise solutions from customer problem definition through production deployment and measurable business value. They must combine enterprise SaaS delivery experience, executive customer credibility, and technical fluency across data, APIs, integrations, cloud platforms, AI workflows, and agents.
This is not a pure technical architect role, a generic project management role, or a traditional SaaS Services leader who is only AI-aware. It is a Services leadership role requiring hands-on fluency in how enterprise AI and agents are scoped, configured, integrated, tested, governed, deployed, and improved in production, together with commercial judgment and operating discipline.
Company
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