Manager, AI Engineering

Job Description

Responsibilities

• Lead and develop a team of 4–6 AI Engineers building AI-powered solutions that transform marketing workflows and improve business outcomes.
• Help define and execute AI strategy for Marketing, partnering with senior leaders to identify, prioritize, and deliver high-impact initiatives aligned with company goals.
• Oversee the end-to-end delivery of AI solutions—from ideation and experimentation through technical design, implementation, adoption, and impact measurement.
• Coach engineers in modern AI technologies and engineering practices, including LLMs, agentic systems, RAG, API integrations, and AI application architecture.
• Build scalable frameworks and engineering standards for rapid prototyping, responsible deployment, and long-term maintainability of AI solutions.
• Partner across Marketing, Product, Data, and Go-to-Market teams while translating complex technical concepts into clear business outcomes for executive and cross-functional stakeholders.
• Foster a culture of innovation, experimentation, continuous learning, and operational excellence.

What You’ll Bring

Required Qualifications:

• 3+ years of experience directly managing engineering or AI teams, including coaching, performance management, and career development in cross-functional product or marketing environments.
• Strong technical foundation in AI/ML, LLMs, APIs, automation, and modern AI architectures, with the ability to connect technical solutions to marketing and business objectives.
• Proven ability to turn ambiguous business challenges into scalable AI solutions, balancing experimentation with execution.
• Exceptional communication skills, with experience translating complex technical concepts into clear, actionable insights for executive and non-technical audiences.
• Demonstrated success prioritizing work, empowering teams, and delivering results across multiple concurrent initiatives.
• Collaborative, curious, and growth-oriented, with a passion for emerging AI technologies and fostering a culture of continuous learning.

Nice-To-Have Qualifications

• Experience building or leading AI-powered solutions within a marketing technology ecosystem (e.g., , Salesforce, Adobe, or similar).
• Hands-on experience with prompt engineering, agentic systems, LLM applications, or other modern generative AI technologies.
• Proven success scaling AI prototypes into production-ready products or widely adopted internal tools.
• Familiarity with marketing platform, automation capabilities, or data ecosystem.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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