Teams at Xplor Technologies

Own reliability for a multi-tenant AI agent platform, including AWS infrastructure, SLOs, observability, disaster recovery, model-provider resilience, security guardrails, cost controls, incident response, and safe deployments. Operate PostgreSQL and Redis, manage Terraform-based infrastructure, protect against tenant and agent failures, and establish audited controls for AI-driven operational changes. Lead on-call activities, game days, post-incident reviews, and platform standards for product teams.

Leads AI/ML research and development, owning enterprise evaluation methodology, predictive and decision models, experimentation, causal inference, model economics, and production deployment. Builds evaluation suites and models hands-on, monitors performance and cost, prototypes agentic techniques, and guides AI-native engineering practices. The role also develops a small team, raises organizational ML fluency, supports data-as-a-service benchmarks, and communicates model uncertainty and business value to executives.

Leads Product Operations for AI initiatives across productivity, customer adoption, commercialization, governance, measurement, and cost visibility. Builds executive scorecards, establishes portfolio decision rights, tracks AI value and risks, standardizes product and delivery metrics, supports launch readiness, manages vendor oversight, and develops a product operations team. Partners with Finance, Product, Engineering, GTM, Security, Legal, Privacy, and executive leaders to connect AI investments with revenue, margin, adoption, retention, and operational outcomes.