Teams at Quandri

Own enterprise customer implementations from requirements discovery through go-live, including project planning, stakeholder alignment, data connectivity, QA, AI-output validation, deployment, training, adoption, and change management. Build repeatable implementation playbooks, manage risks and timelines, report KPIs, document configurations, and escalate blockers. Partner with Product and Engineering to communicate customer feedback and improve time-to-value. The role includes onsite customer visits and up to 25% travel.

Owns the Databricks data lake, dbt models, medallion architecture, ingestion pipelines, data services, schemas, APIs, AI data infrastructure, vector stores, governance, observability, and database optimization. The role requires collaboration across engineering, AI/ML, product, and business teams, along with mentoring engineers and supporting regulated, multi-tenant data systems.

Leads engineering for agentic workflows and natural language experiences, managing two teams and contributing to broader engineering leadership. Responsibilities include building efficient development processes, delivering scalable and reliable software roadmaps, hiring and mentoring engineers, providing technical leadership across the software lifecycle, maintaining operational excellence and security standards, and collaborating with product, data/AI, customer success, partnerships, and business stakeholders.