Nucleus Software

Manager

• Serve as the main point of contact for assigned clients, building strong relationships and acting as their advocate within Nucleus.
• Lead client onboarding and ensure seamless go-live experience.
• Proactively identify client needs and recommend solutions aligned with business goals.
• Handle day-to-day client requests including meetings, invoicing questions, and service escalations.
• Drive adoption of Nucleus standards and participate in the delivery of value through Technology Scorecards, routine audits, and other initiatives.
• Manage a team of technicians, providing coaching, mentorship, and performance feedback.
• Act as the technical escalation point for the team and ensure timely resolution of client issues.
• Monitor and report on key performance indicators (KPIs) such as ticket closures, Client Satisfaction (CSAT), response/resolution times, and utilization.
• Lead initiatives to improve service quality, standardization, and process adherence.

Service Experience Manager

Artificial Intelligence

• Embed directly with clients to run discovery, interviewing operators across roles, observing live workflows, and mapping current-state processes that surface high-ROI opportunities for AI and automation
• Build the business case for each engagement: quantify the cost of the status quo, model expected ROI and prioritize a sequenced roadmap of automation opportunities the client can act on
• Design future-state workflows in detail: process diagrams, decision logic, exception handling, human-in-the-loop checkpoints, and integration touchpoints, all to a level of specificity engineering can build against
• Partner with an AI Engineer throughout the build, translating client requirements into technical specs, validating outputs against business intent, and brokering trade-offs (quality vs. speed vs. cost vs. risk) in plain language
• Lead change management on the client side: stakeholder alignment, communication plans, training rollout, and adoption tracking
• Own the client relationship end-to-end: scope, expectations, status updates, escalations, and executive readouts
• Serve as the single point of accountability for client outcomes
• Run post-deployment business reviews to measure realized impact, surface follow-on opportunities, and build the case for portfolio expansion
• Contribute internally by codifying reusable discovery frameworks, ROI models, workflow templates, and industry playbooks that scale across the practice.

AI Process Consultant

AI Engineer

• Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation.
• Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar, including tool-use, memory, and multi-agent orchestration patterns.
• Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
• Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations.
• Own the full delivery lifecycle from scoping and architecture to build, testing, handoff, and lightweight documentation.
• Train and enable client teams to maintain and iterate on solutions post-deployment.
• Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders.
• Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice.