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Hello Heart logo
Hello Heart

Empowering people to understand and improve their heart health using technology and behavioral science.

Senior Manager, AI Marketing Ops

Marketing OperationsMarketing OperationsFull TimeRemoteSeniorTeam 51-200Since 2013H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

16 days ago

Salary

$165K - $180K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglishPythonSQL

Job Description

Senior Manager, AI Marketing Ops

Hello Heart

• 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.

Job 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.
  • Preferred: Experience in digital health, benefits, SaaS, or a regulated consumer environment.
  • Preferred: Comfort with Python, SQL, or no-code/low-code tools for building workflows and integrations.

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