Job Description
Job Description
Development Manager – AI Implementor (Web + MarTech Integrations)
Location: Duluth- Hybrid 3 days onsite
Does NOT offer sponsorship or C2C!!!
We are looking for a Development Manager – AI Implementor (Web + MarTech Integrations) to lead the design, development, and deployment of modern, AI-powered marketing solutions. This role demands a hands-on full-stack developer background with deep experience across web technologies, MarTech platforms, and AI implementation.
While you’ll provide technical leadership and mentorship, this is not a people-management-only position. We’re looking for someone who leads by example—through code, architecture, and solution design—while uplifting the technical skillset of the team, particularly around Full Stack Development, API+ AI web integrations and modern marketing technologies.
Key Responsibilities
Full-Stack AI Development for Marketing
- Architect and build AI-powered web applications that integrate with modern MarTech ecosystems including CMS, CRM, CDP, DAM, and email platforms
- Write clean, scalable front-end and back-end code using React, Tailwind CSS, SASS, JavaScript, and SQL Server
- Develop AI-driven features using prompt engineering, LLMs, and modern Gen AI tools
- Utilize JAMstack and serverless principles to deploy high-performance marketing apps and microsites
- Refactor legacy web applications and build reusable components to accelerate project velocity
Technical Leadership & Team Enablement
- Lead development efforts hands-on—writing code, solving bugs, and making architecture decisions
- Mentor and guide team members, helping them expand their skills in AI, integrations, and MarTech stacks
- Drive technical knowledge sharing and best practices across the dev team
- Balance deep technical execution with a collaborative, teaching-first approach
AI & MarTech Solution Implementation
- Translate complex marketing needs into real, scalable AI-powered solutions
- Integrate systems through APIs and microservices, ensuring seamless data and workflow orchestration
- Implement and optimize AI models and Gen AI tools within MarTech platforms
- Propose and implement new technologies to improve customer experience and campaign effectiveness
Required Qualifications
- 5-7+ years in full-stack development.
- 5+ years of experience in solution architecture, with at least 2 years focusing on AI/ML implementations
- Deep experience with Python, React, Tailwind CSS, JavaScript, SASS, SQL Server, and web integrations
- Proven ability to implement AI solutions, not just strategize or manage them
- Proven experience integrating AI solutions with marketing technologies
- Deep understanding of marketing technology platforms and ecosystems
- Prior success working with or integrating into CRM systems, CDPs, DAMs, CMS, and marketing automation platforms
- Strong understanding of Gen AI tools, prompt engineering, and LLM integration
- Solid grasp of cloud-based AI/ML platforms (AWS, Azure, or GCP)
- Expertise in API integration, microservices, and MarTech architecture
- Background in database management, data warehousing, or data lake creation is a plus
- Knowledge of data privacy regulations and ethical AI principles
- Ability to lead a dev team through influence and skill rather than traditional hierarchy
- Experience with media platforms, email marketing systems, and personalization tools is a plus
Preferred Qualifications
- Experience in a marketing or advertising agency environment
- Familiarity with Salesforce, HubSpot, or related marketing platforms
- Prior work on enterprise-level MarTech and AI integrations
- Track record of developing customer-facing or internal personalization systems
Key Competencies
- Hands-on builder with deep technical knowledge and passion for modern development
- Collaborative mentor who elevates team skills in AI and marketing tech
- Problem solver with an innovation mindset and high attention to detail
- Strong communicator, able to explain complex ideas to non-technical stakeholders
- Self-starter who thrives in fast-paced, cross-functional environments