Jobs at Doss

The Workplace Specialist manages daily operations at DOSS's headquarters, overseeing vendor relations, facilities upkeep, and organizing community events while ensuring a positive office environment.

Own paid acquisition end-to-end across Google, LinkedIn, and Meta: set strategy, execute campaigns, run rigorous A/B experiments, measure funnel metrics, optimize CAC, launch and scale channels, and report pipeline and efficiency to Growth leadership while collaborating with product marketing, sales, and design.

The Account Executive will sell our core platform to Mid-Market businesses, manage inbound prospects, and identify account expansion opportunities, working closely with the CEO and shaping the sales organization.

Lead the Forward Deployed Services team owning end-to-end post-sales delivery for largest clients. Manage PMO managers, carry strategic accounts, define best practices, drive product capability gaps, partner with Sales/Product/Engineering, and deploy AI and automation to accelerate adoption and value realization.

Lead post-sales ERP implementations for 1-2 large clients: discover workflows, design data models and integrations, configure the DOSS platform, run UAT and go-live, train clients, drive retention and upsell, and feed product improvements leveraging automation and AI.

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.

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

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.

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 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.

The Fullstack Engineer will create scalable web experiences, manage technical roadmaps, and design flexible data models while collaborating with Design and engineering teams.

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

Own paid acquisition end-to-end across Google, LinkedIn, and Meta. Build and scale channels, run rigorous A/B experiments, instrument funnel metrics, optimize creative and landing pages, and report spend, efficiency, and pipeline contribution while collaborating with product marketing, sales, and design.

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.