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Manager, AI Engineering

HubspotUnited States🌍 Remote
Full-time7-15
$220k - $351k
per year
👁️ 0 views📝 0 applicationsPosted 8/20/2026Expires 10/19/2026

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Job Description

Our Mission & Team Our mission at HubSpot is to help millions of organizations grow better. Our Marketing organization plays a critical role in delivering on that mission, and we believe AI will fundamentally transform how we attract, engage, and delight customers.

The AIMS (AI Marketing Solutions) team within Marketing Technology accelerates that vision by building AI-powered tools, agents, and workflows that enable smarter, more effective marketing across HubSpot . We're looking for an experienced engineering leader to guide the team's strategy, execution, and growth.

Role Summary As an Engineering Manager for AIMS, you'll lead a team of AI Engineers responsible for identifying high-impact opportunities, developing scalable AI solutions, and bringing them into production.

You'll set technical direction, partner closely with Marketing and Engineering leaders to prioritize investments, and create an environment where experimentation leads to measurable business outcomes. This role combines people leadership, technical strategy, and cross-functional influence.

Success requires balancing long-term AI vision with pragmatic execution to deliver reliable, scalable solutions that drive adoption across the Marketing organization. What You’ll Do 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, 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 l

Required Skills

AI EngineeringAI solutionstechnical designimplementationadoptionimpact measurementLLMsagentic systemsRAGAPI integrationsAI application architecturescalable frameworksengineering standardsrapid prototypingresponsible deployment

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