Staff Software Engineer, AI Serving (AI Infrastructure) in London

HubSpot is on the forefront of empowering businesses with cutting‐edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff‐level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end‐to‐end, ensuring AI models are reliably deployed, scaled, observed, and cost‐efficient across all hublets and environments.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost‐effectively.

We're not just looking for engineers with many years of experience. Instead, we're looking for engineers who have a track record of unique excellence, leadership, and leveling up those around them.

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale.
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost‐efficiency.
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience.
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving.
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries.
• Collaborate with HubSpotters across the company—engineering, product, design, research, marketing, sales, etc—to gain exposure to how HubSpot works as a business.
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work.

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture.
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond.
• Comfort with ambiguity: you can take on broad, cross‐team problems and drive them to resolution without waiting for every detail to be specified.
• Coaching and mentorship experience.
• A track record in partnering successfully with recruiting to build remarkable engineering teams.
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus.

At HubSpot, we value both flexibility and connection. Whether you're a remote employee or work from the office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in‐person onboarding.

Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We're building a company where people can do their best work and focus on brilliant work, not badge swipes.