I am a solutions-oriented operator with over 15 years of experience designing and implementing scalable processes across SaaS, logistics, and robotics environments. Throughout my career, I have independently identified systemic gaps and built frameworks that have become product features and team standards. I excel at translating complex technical concepts into clear business language for stakeholders, enabling better decision-making and adoption.
My approach combines diagnostic problem-solving with hands-on implementation to drive measurable outcomes, even in ambiguous and fast-changing environments. I have a proven track record of reducing onboarding friction and improving configuration accuracy through AI-assisted workflows, which have been integrated into core platforms.
I have led cross-functional teams spanning customer success, product, and engineering to resolve systemic challenges affecting client adoption and product-market fit. I am skilled at creating operational documentation and playbooks that enable consistent delivery across customer engagements.
In previous roles, I have systematically identified process gaps causing client disputes and implemented policies that drastically reduced claims requiring investigation. I have also conducted independent viability analyses to guide resource allocation decisions.
My technical background includes developing troubleshooting frameworks and best practices for robotics deployments, improving uptime and reducing support tickets. I serve as a technical liaison, translating system behavior for non-technical stakeholders to empower informed decisions without engineering escalation.
I am passionate about building knowledge bases and training materials that enhance customer self-service capabilities and standardize workflows across teams. I continuously seek to improve operational efficiency and customer satisfaction through data-driven insights and collaborative leadership.
Diagnosed root causes of onboarding friction through systematic gap analysis; designed and implemented AI-assisted workflow that reduced time-to-value and improved configuration accuracy—approach subsequently built into core platform as v2.0 foundation. Led cross-functional coordination between customer success, product, and engineering teams to resolve systemic challenges affecting client adoption and product-market fit. Created operational documentation and implementation playbooks that became team standards, enabling consistent delivery across customer engagements.
Systematically identified gaps in delivery verification processes causing client disputes; designed and implemented new policies that reduced claims requiring investigation by 90%. Conducted independent expansion viability analysis using population density data, postal code metrics, and route efficiency modeling; recommended against expansion after analysis showed insufficient ROI, leading to resource reallocation. Developed training materials and workflow documentation that standardized processes across operations, logistics, and customer service teams.
Developed systematic troubleshooting framework categorizing robot deployment failures into diagnostic paths; reduced resolution time and repeat incidents, framework adopted as team standard. Created deployment configuration best practices (zoning rules, operational constraints) enabling customers to prevent breakdowns proactively; reduced support ticket volume and improved robot uptime. Served as technical liaison translating robotics system behavior for non-technical stakeholders; enabled customers to make informed deployment decisions without requiring engineering escalation. Built knowledge base documentation and troubleshooting guides that improved customer self-service capabilities and reduced repeat support contacts.
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