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The Engagement Manager will manage enterprise life sciences client relationships, drive client outcomes, provide strategic advice, collect feedback to improve offerings, and mentor junior staff.

Lead and build Courier Healths legal function: create scalable legal infrastructure, manage commercial contracting and data/privacy compliance (HIPAA), advise executive leadership on risk, partner cross-functionally, design legal intake and processes, and oversee outside counsel for regulatory and privacy matters.

Lead demand generation, marketing operations, events, and field marketing to drive pipeline and revenue. Build attribution, lead scoring, and marketing-to-sales SLAs. Run ABM and experimentation programs, manage and grow the marketing team, and leverage AI tools to optimize campaigns and events.

Drive positioning, messaging, and competitive intelligence for a core B2B SaaS solution; develop buyer personas, go-to-market and launch plans; enable Sales and Customer Success; create collateral and present externally; establish product marketing frameworks; partner with Product on feature releases; use AI tools to accelerate work.

Own and evolve Courier Health's serverless-first AWS platform and multi-account architecture. Build and maintain Terraform-based IaC, CI/CD pipelines, observability, and security guardrails. Support engineering teams by deploying scalable Lambda/Step Functions/EventBridge/AppSync/Aurora/EKS systems, automating hardening, and improving developer-facing infrastructure and operations.

Lead the design and rollout of features for the core application, manage stakeholders, and coordinate with cross-functional teams to meet customer delivery dates.

The Account Executive is responsible for growing Courier Health's presence in life sciences by managing sales processes, building partnerships, and representing the company at industry events.

Build and maintain reliable, observable data pipelines and a dbt-based transformation layer. Create analytics data models for in-product client reporting and internal dashboards, enforce data quality checks, and collaborate with Product and commercial teams to support analytics needs.

Build and maintain data pipelines and transformation layer using dbt and SQL; monitor replication and orchestration pipelines, add data quality checks, and develop datasets and dashboards for internal and client analytics. Collaborate with senior engineers, participate in code reviews, and gradually take on more ownership.