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.
Lead End-to-End Services Delivery
Build a Technically Capable Services Organization
Build a Services team that can independently deliver repeatable enterprise implementations and AI/agent deployments with minimal reliance on core Engineering.
Develop capability across:
Establish strong competency across the team in Databricks, modern data platforms, APIs, cloud integrations, analytics workflows, LLM-enabled applications, agentic workflows, evaluation and testing, observability, and enterprise AI deployment patterns.
Define technical skill expectations, assess gaps, and continuously raise the capability bar across the Services organization.
Lead Enterprise AI and Agent Deployments
Establish the Services + Engineering Engagement Model
Build Repeatable and Scalable Delivery Models
Create and continuously improve standardized approaches for:
Use AI, automation, reusable assets, evaluation frameworks, playbooks, and partner capacity so customer volume can grow faster than Services headcount while improving implementation quality.
Own Services Economics and Capacity
Develop and Scale Managed Services
Build recurring Managed Services offerings for customers that require ongoing support beyond initial implementation.
These may include:
Partner across Customer, Product, Engineering, and Commercial teams to ensure these offerings deliver measurable customer value and sustainable Services economics.
Drive Adoption-Ready Handoffs
Ensure every implementation transitions with clear:
Professional Services owns successful deployment and readiness for adoption. Ongoing consumption, value realization, retention, and expansion transition to the post-go-live customer organization.
Success in this role will be measured by:
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Resilinc is a supply chain intelligence company that uses agentic AI to help businesses build innovative products and solve real-world problems.