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The Director of Client Analytics will manage client interactions, lead measurement initiatives, and develop a diverse analytics team to improve healthcare campaign outcomes.

Perform quality assurance reviews of insertion orders, contracts, and supporting documentation; ensure accuracy and compliance; reconcile contract details with Boostr CRM and billing; identify and resolve discrepancies with stakeholders; support accounts receivable and invoice processing; assist with ad hoc analyses and special projects.

The Director of Data Ontology will design and govern data structures for healthcare advertising, creating knowledge frameworks and ensuring data accessibility and compliance across the organization.

Ensure product quality through test strategy development, manual and automated tests, design of automation frameworks, and collaboration across teams.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.

The Sr. Director, Enterprise Sales will lead partnerships with pharmaceutical companies, integrating DeepIntent's technology and data solutions to enhance client engagement and drive revenue growth.

As a Senior Staff Engineer, you will design and optimize data pipelines, mentor engineers, ensure data quality, and collaborate with teams on data integration.

Build and deploy AI agents and automations to streamline commercial and operational workflows. Work with stakeholders to identify opportunities, prototype LLM-based solutions, integrate via REST APIs, and maintain documentation and monitoring. Serve as technical liaison to business teams and iterate quickly on deployed tools.

Lead sales across independent pharma agency clients, driving revenue via DeepIntent's programmatic platform. Build agency relationships, close new and upsell deals, design JBPs, deliver demos/RFP responses, collaborate with cross-functional teams for onboarding and product feedback, and stay current on industry trends.

Ensure reliability and performance of the platform and data ecosystem by troubleshooting production issues, monitoring data pipelines, standardizing operational tools, automating operations, participating in incident management and RCA, and collaborating with engineering, analytics, product, and customer-facing teams.