Jobs at Atlas

Leads global marketing operations, technology, AI and automation, website operations, analytics, data governance, measurement, and digital experience strategy. Owns marketing technology investments, operating models, budgets, transformation initiatives, executive dashboards, attribution, and cross-functional alignment. Builds and manages a high-performing team while partnering with Marketing, Sales, Revenue Operations, Product, Technology, Data, Finance, and Legal.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Owns Atlas HXM’s deal desk function, including pricing execution, complex deal solutioning, compliance adherence, competitive pricing analysis, and process optimization. The role identifies recurring deal friction, builds decision frameworks and approval paths, improves structuring workflows, and advises Sales leadership. It partners with Legal, Compliance, Finance, Operations, and Sales to resolve non-standard deals, reduce unnecessary escalations, and establish a scalable deal desk capability.

Manage end-to-end client implementations and onboarding for global workforce solutions. Responsibilities include creating project plans, coordinating internal and external stakeholders, managing risks and change, customizing onboarding processes, maintaining documentation, training clients, ensuring quality, and driving milestones through completion. The role serves as the primary contact for enterprise clients and supports adoption and engagement after implementation.

Designs and builds production data systems, pipelines, database schemas, analytical models, and internal platforms. Responsibilities include writing tested code, optimizing queries and storage, controlling infrastructure costs, enforcing CI/CD, and implementing data testing, monitoring, and alerting. The role also develops AI and LLM-backed data use cases, including retrieval pipelines, embeddings, vector storage, evaluation harnesses, and agentic workflows.

Generate leads, build relationships, drive sales for Employer-of-Record services, and collaborate with cross-functional teams to support client needs.