Product staffing talent using AI, Salesforce and skill matching for complex projects
NeuralMatch
Connecting the dots
NeuralMatch is a global staffing and deployment platform built on Salesforce, designed to eliminate inefficiencies in talent matching by centralizing opportunities, skills-based search, and project visibility. Leveraging AI, it automates candidate matching and task prioritization, reducing manual bottlenecks and increasing transparency for over 350,000 users. I led experience design from conception to launch, collaborating with engineers, Salesforce product managers, and stakeholders to align feasibility, brand direction, and scalable UX—resulting in a standalone or integrable tool that improves retention and career growth.
Platform & Reach
- Built on Salesforce for scalability, with standalone or embedded deployment options. - Serves 350K+ users worldwide, streamlining siloed staffing processes into a unified system. - AI-driven features reduce manual effort by 40% in pilot testing (per internal metrics).
Matching Up
Strategy & Vision: Roadmapped UX, AI integration points (e.g., staffing matches, dashboard prioritization), and stakeholder socialization.
Design Execution: Oversaw a 12-person team, from research to high-fidelity prototypes, ensuring dev-ready handoffs.
Testing & Iteration: Led UX research, prioritized improvements post-testing, and coordinated with engineers for feasible yet forward-looking releases.
Future Roadmap
-Current AI Features: Smart candidate matching, dynamic task prioritization, and skill-gap analysis.
-Next Phases: Predictive analytics for turnover risk, generative AI for automated role descriptions, and expanded third-party integrations.
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