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The Senior PMO will oversee post-sales operations, ensuring client success through product implementation, process mapping, and cross-functional collaboration, aiming for enhancements and support in upper mid-market and enterprise clients.

The Lead PMO is responsible for overseeing the post-sales product operations and implementation lifecycle, including client engagement, product design, configuration, and UAT support, ensuring customer success and fostering best practices.

Architect and build frontend for a cloud platform, manage technical roadmap, create scalable infrastructure and components, ensure high-quality implementations.

Design and build a flexible schema platform and migration engine for a data warehouse, while mentoring and enhancing team culture.

Design and build an EAV data model and schema-as-code platform, manage schema migrations, engineer AI tools, and mentor teams.

As a Frontend Engineer, you will create intuitive web experiences, contribute to roadmaps, build flexible infrastructures, and implement designs from Figma.

Lead post-sales product operations and implementations for upper mid-market and enterprise clients: discovery, process mapping, product design/configuration, integrations, UAT, go-live, and client success. Mentor a pod of associates, drive product capability builds, and improve lifecycle processes using automation and AI to maximize customer value and retention.

Lead post-sales ERP implementations for mid-market and enterprise clients: discover workflows, design data models and integrations, configure the DOSS platform, run UAT and go-live, drive customer success, and surface product improvements driven by automation and AI.

Lead end-to-end ERP implementations for mid-market and enterprise clients: discover requirements, design product configurations and data models, manage integrations and migrations, run UAT and go-live, build platform capabilities, and maintain director-level client relationships to drive retention and expansion while leveraging AI tools to automate delivery.

Own applied AI end-to-end: select and operate foundation models, build Dossbot for natural-language ops and automation, create AI-assisted schema/workflow tooling, design permission-aware agentic automations, and implement evals and observability for safe production use.