Senior Manager, AI Marketing Ops

Hello Heart is on a mission to make heart attacks a thing of the past through innovative AI solutions for heart health. As the Sr. Manager, AI Marketing Ops, you will lead the marketing team's AI initiatives, creating solutions that enhance marketing efficiency and effectiveness while collaborating with various teams to achieve better results.

Responsibilities:

• Create and manage the marketing team’s AI plan, finding opportunities and turning them into a roadmap
• Design and build AI-powered solutions, such as automated workflows, prompt libraries, and automation systems
• Work with Data, Engineering, and Product teams to make sure AI solutions work well with our current tools (Iterable, Salesforce, Asana, etc.)
• Help the Member Marketing team use AI to improve enrollment targeting, personalize outreach, and speed up testing cycles
• Apply AI to improve Enterprise Marketing campaigns, personalize client content, and help with market execution
• Help the Brand and Communications team create content and build tools to produce on-brand materials faster
• Build and lead an AI education program for the marketing team, including workshops and guides
• Define and track goals for AI projects (like productivity and efficiency gains) and share results with leaders
• Ensure the use of AI follows data privacy, HIPAA compliance, and ethical standards

Requirements:

• 7+ years of marketing experience, with at least 2 years focused on AI, marketing operations, automation, or marketing technology in a hands-on, building role
• Demonstrated history of building and launching AI solutions in a marketing context
• Deep understanding of modern AI tools: LLMs, prompt engineering, agentic workflows, and AI-assisted content and automation tools
• Strong ability to collaborate across marketing, data, engineering, and operations teams
• Experience working in lifecycle, growth, or member marketing environments with many campaigns and complex channels
• Strong analytical mindset: comfortable defining success metrics, evaluating test results, and using data to make decisions
• Excellent communicator able to explain complex AI ideas to non-technical people
• Experience in digital health, benefits, SaaS, or a regulated consumer environment
• Comfort with Python, SQL, or no-code/low-code tools for building workflows and integrations