Teams at Burq, Inc.

Lead the technical direction and hands-on development of ML and operations research systems powering delivery dispatch. Build pricing, quote selection, forecasting, routing, batching, fleet recommendation, LLM, optimization, evaluation, and MLOps capabilities. Translate operational constraints into reliable models and solver formulations, establish production ML standards, and mentor engineers. The role partners with Product and leadership to deliver measurable improvements in revenue, margin, utilization, conversion, and delivery reliability.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Own post-sale relationships with merchant and enterprise customers from onboarding through renewal and expansion. Manage account health, retention, QBRs, churn prevention, adoption, and growth while reporting ARR, churn, and NPS. Serve as the customer voice internally, coordinate with cross-functional teams, support product feedback, and build scalable success processes. Use AI tools daily for reporting, account analysis, documentation, and issue triage. Logistics, API integration, and enterprise account experience are required.