Senior Enterprise Account Executive

This role focuses on selling Morningstar's financial data and research products to enterprise clients. The sales executive will manage key accounts, drive revenue growth, and expand market share within the financial services sector.

This Senior Account Executive role is a full-cycle B2B sales position responsible for developing and expanding relationships with large enterprise advertisers across Morning Brew's multimedia portfolio. The role involves prospecting, developing integrated media strategies, navigating complex negotiations, and deepening existing partnerships across newsletters, social, video, events, and podcasts. The ideal candidate is a strategic, commercially minded seller with experience navigating complex organizations and building executive-level relationships.

Drives business development activities, identifying and pursuing new growth opportunities through market research, lead generation, and building client relationships.

This Senior Account Executive role drives expansion revenue (upsell and cross-sell) within a defined portfolio of enterprise customers across EMEA, leading complex, multi-stakeholder sales cycles. The role requires a consultative, value-based selling approach and fluency in English plus one other European language.

This entry-level role is part of a structured two-year cohort program focused on building foundational market research skills. It involves supporting high-visibility research projects, gaining exposure across client accounts and cross-functional teams, and applying AI-forward research methodologies. The position progresses from Research Associate to Senior Research Associate with increasing project management responsibilities.

This role owns the research behind a set of client accounts, executing custom quantitative studies and managing multiple projects with little oversight. It involves building client relationships that lead to renewals and new work, and coaching Research Managers and Associates on craft and service standards, including the effective use of AI. The ideal candidate thrives on proactive project management and problem-solving.

This DevOps role builds and maintains the infrastructure, pipelines, and tooling that enable engineering teams to ship AI-powered products quickly and safely. The engineer will own infrastructure as code and CI/CD pipelines, improve observability and incident response, and lead infrastructure projects from scoping through rollout. Requires hands-on AWS experience, 2-4 years of DevOps experience, and familiarity with Terraform or CloudFormation.