Senior Manager, AI Marketing Ops
New
H
Hello HeartDigital Health
Remote USFull-TimeManager
Salary165,000 - 180,000 USD per year
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Job Details
- Experience
- 7+ years of marketing experience, with at least 2 years focused on AI, marketing operations, automation, or marketing technology
- Required Skills
- Artificial IntelligenceData AnalysisSalesforceAsanaPrompt Engineering
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.
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.
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