Requirements:

Strong senior backend engineer with experience in building and scaling backend systems
Experience with AI/ML systems or strong interest in applying AI in practical, production use cases
Understanding of the challenges of building and scaling data pipelines
Ability to write reliable, maintainable, well-tested code and care deeply about code quality
Thrives in a greenfield or ambiguous environment and enjoys building foundational systems
Excitement about empowering internal teams with tools that multiply their impact

What you'll be doing:

Building backend systems and AI tooling enabling agent capabilities across the Flywheel Product Line
Working closely with other engineers, product managers, and internal stakeholders to solve complex data and infrastructure problems
Collaborating on system design, implementation, and best practices
Building data pipelines, retrieval systems, and backend integrations with AI models
Solving hard problems related to data and data quality
Mentoring teammates and helping shape the engineering culture on a new team

Experience developing intelligent systems that can search and extract meaning from complex data sources
Previous ownership of backend architecture for search, retrieval, and orchestration of agent context
Background in building scalable data pipelines and AI integrations with performance and reliability in mind
Collaboration with product and engineering stakeholders across HubSpot
Contributions to team processes, technical standards, and code quality enhancements
Commitment to ensuring quality and resilience from design to deployment

Opportunity to shape a high-impact capability area at HubSpot
Growth potential within the team over the next several months
Ownership of foundational team defining how to build, collaborate, and deliver impact
Chance to work on foundational AI infrastructure and new team shaping
Contribution to building smarter, more contextual agent experiences at HubSpot