Top Tech Jobs & Startup Jobs

Build and maintain Tableau reports and dashboards, administer Tableau Server, and translate complex datasets into clear insights for non-technical stakeholders. Work with SQL and ETL pipelines to integrate and optimize large-scale data, troubleshoot performance, and support analytics team deliverables. Communicate findings, collaborate with peers, and continuously learn.

Build and administer Tableau dashboards and reports, transform large datasets into actionable insights, optimize queries and ETL processes, collaborate with stakeholders, and support Tableau Server administration and performance monitoring.

Serve as primary client contact for strategic accounts, drive satisfaction and commercial performance, translate business goals into plans, identify upsell opportunities, support renewals, coordinate cross-functional delivery, analyze client metrics, and represent client needs to influence product and service improvements. Willingness to travel for meetings and events.

Lead strategic relationships with enterprise clients, ensuring satisfaction, commercial performance, product adoption, renewals, and cross-sell. Coordinate internal teams to deliver solutions, monitor performance metrics, provide insights, and represent client needs to influence product and service improvements. Travel for client meetings and events as needed.

Architect and build a self-service, Kubernetes-native platform: implement controllers/operators, everything-as-code (Terraform/Helm/GitOps), enable secure automated developer workflows, and own production reliability, observability, SLOs, and incident postmortems.

Architect and build a self-service, Kubernetes-native platform: implement controllers/operators, infrastructure-as-code, GitOps CI workflows, production observability and SLOs, and secure, automated developer pathways to enable rapid, reliable delivery.

Manage strategic enterprise accounts as primary client contact, ensuring satisfaction, commercial performance, renewals, product adoption, and alignment with client objectives. Coordinate cross-functional teams, analyze client metrics, identify upsell/cross-sell opportunities, influence product development with client feedback, and travel for meetings and QBRs.

Design and implement the Price Optimizer's decision logic: translate pricing rules into mathematical models and production-ready Python code, develop and tune simulation and optimization algorithms, write tested maintainable code, analyze model behavior and edge cases, and collaborate with solution architects and data and engineering teams to integrate models into Dagster pipelines.

Design and implement the decision-making logic of a Price Optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, write tested maintainable code, validate model behavior with data, and collaborate with Solution Architects and Data Engineers to integrate models into Dagster pipelines.

Design and implement decision-making logic for a price optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, validate model behavior using data, and collaborate with architects and data engineers for pipeline integration.