Manager, AI Marketing Orchestration, GTM Engineer - Cardio Partners - Dublin

Dublin, OH (On-site)

Salary Not AvailableManager5+ years expFull time

Posted 3 months ago

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Job Summary

Drive AI-powered marketing operations and lifecycle orchestration across ecommerce, building automated workflows and cross-channel campaigns.

  • Own multi-step AI workflows across email, paid media, and CRM.
  • Strong requirement: building automated workflows with AI tools and APIs.
  • Standout: systems that cut manual production time and accelerate testing.

Job Description

Responsibilities

  • Design and deploy AI-powered marketing workflows by connecting systems using tools like GPT/LLM APIs and integration platforms like n8n and Make
  • Build systems that generate content, emails and ads dynamically
  • Trigger messaging based on behavioral and transactional data
  • Continuously test and optimize creative and targeting
  • Oversee AI-assisted creation
  • Email campaigns
  • Paid media creative and copy
  • On-site and landing page content
  • Implement systems to generate variants for testing and optimize messaging reducing manual production time
  • Leverage data from GA4, BigQuery or similar
  • CRM and ecommerce platforms
  • Build actionable segments (cohorts, behavioral and value based) and audiences for email, paid media and sales enablement
  • Translate data into workflow triggers (post-purchase, replenishment) campaign optimizations and growth insights
  • Own lifecycle strategy across ecommerce and sales
  • Partner cross-functionally to build lead scoring and qualification workflows
  • Trigger outbound email sequences based on segmentation
  • Support ABM and high-value account targeting
  • Ensure seamless hand-off between marketing automation and CRM/sales workflows

Requirements

  • Education: Bachelor’s degree in Business, Marketing, or related field preferred
  • 5-7 years in marketing (automation, content, lifecycle, CRM, email, growth)
  • Comfortable using AI Tools (LLM, APIs, GPT)
  • Experience building and managing automated workflows
  • Ability to design multi-step, logic-based workflows
  • Strong operator mindset to build, test and iterate quickly
  • Data and analytical skills
  • Strong understanding of customer LTV, retention and lifecycle programs
  • Martech Platform experience: Klaviyo, GA4, CRM, automation platforms and ads
  • Experience with customer segmentation and orchestrating cross-channel initiatives

Nice To Have

  • System thinker that sees process and workflows, not channels and campaigns
  • Builder mindset that creates and improves systems
  • Highly curious and experimental with new tools and AI
  • Strong bias for action to test and learn
  • Comfortable operating in a fast-moving environment

Benefits

  • Competitive salary, commensurate with experience
  • 401(k) Plan
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Sarnova

3.2 Glassdoor

Sarnova and its family of companies: Bound Tree Medical, Cardio Partners, Digitech and Tri-anim Health Services have been serving the emergency medical services (EMS) and acute care markets for over 50 years.By offering more than 100,000 innovative health and safety products to thousands of national emergency care providers, hospitals, advanced patient-care facilities, schools, universities, businesses and federal government agencies, we’re proud to say that the products and services we sell, help our customers save lives and help keep our communities safe.Sarnova is a company of Patricia Industries, a part of Investor AB, which makes significant investments in best-in-class companies with strong market positions, brands and corporate cultures.For more information, visit www.sarnova.com.

Founded in 2008
Dublin, Ohio, USA
383 employees (15 in marketing)
55% recommend to a friend
71% CEO approval

Traffic Signals

Monthly Visitors
83.3K
Traffic Source Mix
Search
15.2%
Direct
58.3%
Referral
21.1%
Social
4.6%
Paid
0.7%

Headcount Trend

Current headcount: ~383

Marketing Team

Marketing Team Size
15 (4% of company)

Funding

Total Funding
$10.5M
Last Raise
$500K
Series Unknown, 16 years ago

Funding History

  • Dec 2009
    Series Unknown • $500K
  • Apr 2009
    Series Unknown • $10M

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