AI Marketing Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteMid LevelTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

21 hours ago

Salary

$83K - $145.5K / year

Seniority

Mid Level

No structured requirement data.

Job Description

AI Marketing Engineer

Danaher Corporation

Role Description The AI Marketing Engineer builds and operationalizes AI-powered systems, agents, and workflows that make marketing faster, smarter, and more scalable across the full marketing lifecycle—from lead qualification and marketing automation to web updates, MAPSS, and digital analytics/insights. This role sits inside Marketing (starting with Digital) and partners with Commercial Technology and IT to integrate tools and deploy production-ready agents. The AI Marketing Engineer combines marketing judgment (what’s worth automating and how it impacts customers) with engineering-minded execution (how to architect, connect, and operate systems end-to-end). In this role, you will have the opportunity to: - Build AI Agents & Workflows Across Marketing - AI Tool Ownership & Recommendations - Integration, Deployment & Reliability - Enablement & Change Management - Innovation of New Marketing Capabilities Qualifications - 5+ years in digital marketing, marketing operations, growth, analytics, or marketing technology roles - Demonstrated system-thinking and automation mindset - Hands-on experience building AI workflows/agents using LLMs for prompt design, structured outputs, evaluation/iteration - Working knowledge of APIs, webhooks, and integrations across common marketing systems (CRM, MAP, CMS, analytics) - Strong understanding of marketing funnels, customer journeys, and how marketing activity ties to measurable outcomes - Ability to translate ambiguous problems into deployable workflows; strong stakeholder management across Marketing, Commercial Tech, and IT Requirements - Experience with experimentation frameworks (A/B testing, journey optimization, performance diagnostics) - Familiarity with data pipelines/semantic layers, tagging/measurement governance, and dashboarding - Experience with prompt libraries, agent orchestration tools, retrieval (RAG), and content governance at scale - Comfort operating in regulated environments with privacy/security constraints Benefits - Comprehensive package of benefits including paid time off - Medical/dental/vision insurance - 401(k) to eligible employees - Remote work arrangement for eligible roles - Bonus/incentive pay eligibility

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