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Own product strategy and roadmap for core platform primitives (tables, workflows, interfaces, dashboards, IA, permissions, mobile). Partner with engineers and design to prioritize, discover, and deliver composable building blocks used by internal builders and end customers. Drive system-level decisions, shape product-area splits, and support scaling and onboarding for new engineers.

The Portfolio Manager leads a PMO team, managing complex client relationships throughout the post-sales lifecycle from discovery to implementation and go-live, while also mentoring team members and driving automation and AI improvements.

The Product Manager will own the product development lifecycle for key operations modules, focusing on user needs, technical integration, and release management. Responsibilities include roadmap sequencing, PRD writing, and collaborating with engineering and implementation teams.

Architect and build the core frontend for a collaborative cloud platform, focusing on flexible infrastructure and technical roadmap features.

Design and build a schema-as-code platform for data warehouses, including a Git-style version control system and AI-assisted tooling, while ensuring security and performance.

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 Brand Designer will enhance DOSS's visual identity, design assets for various marketing channels, and ensure visual consistency across platforms while collaborating with different teams.

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