Senior Software Engineer II, Backend - Intelligence Team

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November 10

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HubSpot

WebsiteLinkedInAll Job Openings

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

📋 Description

• Design and build scalable backend systems that deliver personalized recommendations and adaptive customer journeys. • Lead the technical direction for services such as the Tasks Recommendation Service, which personalizes onboarding tasks based on each user’s goals and context, and the Route Recommendation Service, which determines the next best step in the customer journey. • Partner closely with AI, data, and product teams to integrate contextual signals and machine learning models into real-time decisioning systems. • Collaborate closely with product managers to deeply understand customer needs, pain points, and workflows. • Translate user problems into technical solutions, ensuring all backend systems genuinely enhance end-user experiences and deliver real value. • Improve the scalability, reliability, and performance of our third-party data integrations and synchronization pipelines. • Mentor peers and help shape the long-term technical strategy for the Intelligence product area.

🎯 Requirements

• Has strong backend engineering expertise, ideally in Java (or Kotlin). • Brings experience building distributed systems, APIs, or large-scale recommendation or personalization services. • Champions a product mindset within the engineering team, balancing technical excellence with empathy for the user and business context. • Understands microservice architecture and cloud infrastructure (AWS or GCP). • Makes thoughtful, data-driven decisions and thrives in a fast-moving environment. • Cares deeply about building intelligent systems that make complex experiences feel simple for customers. • Experience working with machine learning–powered recommendations or routing engines (bonus). • Familiarity with event-driven architectures or streaming platforms like Kafka or Pub/Sub (bonus). • Background in customer onboarding, personalization, or journey optimization products (bonus).