Remote AI Marketing Solutions Engineering Manager

Remote Genie; Northern (KY); Hybrid; USD 220,000 - 351,000; Full time

Benefits offered by this job

Remote work

Equity/RSU consideration

Job summary

HubSpot is seeking an Engineering Manager for the AIMS team to lead AI Engineers, define technical direction, and partner with Marketing and Engineering leaders to deliver scalable AI solutions.

The role combines people leadership, technical strategy, and cross-functional influence, balancing long-term AI vision with production-ready systems that drive adoption across the Marketing organization.

Qualifications

• 3+ years of experience directly managing engineering or AI teams in cross-functional environments.
• Strong foundation in AI/ML, LLMs, APIs, automation, and modern AI architectures.
• Ability to translate ambiguous business challenges into scalable AI solutions.
• Exceptional communication skills for executive and non-technical audiences.
• Proven success prioritizing work, empowering teams, and delivering results.

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 HubSpot’s AI strategy for Marketing, prioritizing high-impact initiatives aligned with company goals.
• Oversee end-to-end delivery of AI solutions from ideation to adoption and impact measurement.
• Coach engineers in AI technologies and engineering practices including LLMs, agentic systems, RAG, API integrations, and AI architecture.
• Build scalable frameworks and standards for rapid prototyping, responsible deployment, and long-term maintainability of AI solutions.
• Partner across Marketing, Product, Data, and Go-to-Market teams translating complex concepts into clear business outcomes.
• Foster a culture of innovation, experimentation, learning, and operational excellence.

Skills

AI/ML

LLMs

APIs

Automation

AI architecture

Job description

HubSpot is seeking an Engineering Manager for the AIMS team to lead AI Engineers, define technical direction, and partner with Marketing and Engineering leaders to deliver scalable AI solutions.

The role combines people leadership, technical strategy, and cross-functional influence, balancing long-term AI vision with production-ready systems that drive adoption across the Marketing organization.