Director of Engineering, Data Infrastruture

HubSpot

13h•Hybrid

About The Position

Our mission at HubSpot is to help millions of organizations grow better. The Data Infrastructure group powers that mission by delivering fast, reliable product experiences at scale for hundreds of thousands of users. As Director of Engineering, you’ll lead a critical organization focused on core data systems and processing, shaping the infrastructure that enables 170+ product teams to build and scale with confidence. You’ll define the technical vision and guide teams building the foundation of HubSpot’s platform.

Requirements

Deep technical expertise in data storage and processing at scale, with comfort engaging in architecture discussions across systems like HBase, Vitess, and Kafka.
Proven leadership experience managing managers and scaling organizations of 30+ people.
Strong track record of building trust, respect, and empathy while delivering clear, direct feedback.
Strategic mindset with the ability to balance long-term technical reliability with product velocity.
Experience shaping infrastructure platforms that support multiple teams at scale.
Strong cross-functional collaboration and communication skills across technical and non-technical stakeholders.
Commitment to fostering an inclusive team culture and growing diverse engineering teams.

Nice To Haves

A strong interest or experience in integrating AI/ML into infrastructure (AIOps) to automate detection and response in high-risk data environments.
Familiarity with regulated environments and data governance requirements.
Experience working with cloud-native infrastructure (AWS, Kubernetes).

Responsibilities

Lead a high-impact organization of ~35 engineers, directly overseeing three Engineering Leaders and one Tech Lead across HBase, Processing (Kafka/Streaming), MySQL/Vitess, and Caching & Coordination.
Drive technical vision by defining the roadmap for core data stores (HBase, MySQL/Vitess) and processing engines (Kafka, Streaming, Batch) to meet the demands of a business scaling to 100 billion messages a day.
Enable 170+ autonomous product teams to leverage datastores-as-a-service with simplicity, speed, and reliability.
Pioneer agentic infrastructure by leading the shift toward an “agentic” model, where customers interact with intelligent agents to manage complex, high-risk systems.
Ensure strong data governance by leading compliance, privacy, encryption, and proactive risk management practices, including HIPAA-aligned standards.
Foster technical excellence by coaching and mentoring teams on high-level software design and technical strategy.
Collaborate cross-functionally to build strong relationships from individual contributors to executives, aligning infrastructure strategy with business needs.
Cultivate an inclusive, high-performing engineering culture that prioritizes innovation, reliability, and developer experience.