Engineering Lead, Machine Learning

Location: Remote - USA

Department: Engineering

About the Role

At HubSpot, we empower businesses to grow better through our industry-leading CRM platform and inbound marketing solutions. As the Engineering Lead, Machine Learning, you'll spearhead a high-performing team driving AI innovation that transforms how millions of customers engage with their leads and prospects. In this role, you'll blend technical leadership with HubSpot's growth culture to deliver ML-powered features like predictive lead scoring, personalized content recommendations, and intelligent customer journey orchestration—all while fostering a team environment rooted in our HEART values of Humble, Empathetic, Adaptable, Remarkable, and Transparent. You'll report into the Engineering leadership team and collaborate closely with product, data, and marketing groups to identify high-impact ML opportunities within HubSpot's ecosystem. From architecting scalable pipelines for CRM data to deploying models that boost inbound marketing ROI, your work will directly contribute to customer success and HubSpot's mission of helping companies grow better. Expect to mentor engineers, shape the ML roadmap, and experiment with state-of-the-art techniques in a fast-paced, inclusive setting where innovation thrives. HubSpot's culture celebrates bold ideas, continuous learning, and work-life harmony. Join us to lead ML efforts that redefine SaaS possibilities, surrounded by remarkable colleagues in a company consistently ranked as a top place to work. If you're passionate about AI, CRM, and driving growth at scale, this is your chance to make a remarkable impact.

Key Responsibilities

• Lead a team of ML engineers to build and deploy AI-powered features enhancing HubSpot's CRM and inbound marketing platform
• Drive the technical roadmap for machine learning initiatives focused on customer insights, predictive analytics, and personalization
• Collaborate with product managers, data scientists, and marketing teams to define ML use cases aligned with HubSpot's growth goals
• Mentor and grow engineering talent in a high-impact, culture-first environment
• Design and optimize scalable ML pipelines for processing large-scale CRM data
• Implement MLOps best practices to ensure reliable model deployment and monitoring
• Experiment with cutting-edge ML techniques to improve lead scoring, content recommendations, and customer segmentation
• Partner with cross-functional teams to integrate ML models into HubSpot's inbound marketing tools
• Champion HubSpot's HEART values (Humble, Empathetic, Adaptable, Remarkable, Transparent) in all team interactions
• Analyze performance metrics and iterate on ML solutions to drive revenue growth for customers
• Stay ahead of ML trends and advocate for innovative applications in SaaS and CRM domains

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
• 7+ years of experience in machine learning engineering or data science roles
• 3+ years of experience leading engineering teams, with a focus on ML/AI projects
• Proven track record of deploying ML models at scale in production environments
• Deep expertise in Python, TensorFlow/PyTorch, and ML frameworks
• Strong understanding of CRM data pipelines, customer analytics, and inbound marketing metrics
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools like Kubeflow or MLflow
• Excellent communication skills and ability to collaborate cross-functionally in a fast-paced growth environment

Preferred Qualifications

• PhD in Machine Learning or related field
• Experience working with CRM systems like HubSpot, Salesforce, or similar
• Background in inbound marketing personalization, lead scoring, or customer journey optimization
• Contributions to open-source ML projects or publications in top conferences
• Familiarity with HubSpot's ecosystem and APIs
• Experience scaling ML for marketing automation and revenue operations

Required Skills

• Machine Learning model development and deployment
• Python programming expertise
• TensorFlow or PyTorch proficiency
• MLOps and CI/CD for ML workflows
• Cloud computing (AWS/GCP/Azure)
• Big data technologies (Spark, Kafka)
• CRM data modeling and analytics
• Leadership and team management
• Cross-functional collaboration
• Problem-solving in ambiguous environments
• Statistical analysis and experimentation
• API integration and microservices
• Data privacy and ethics in AI
• Agile methodologies
• Technical communication and documentation
• Inbound marketing domain knowledge

Benefits

• Competitive salary and equity in a publicly-traded company
• Comprehensive health, dental, and vision insurance
• Unlimited PTO and flexible work-from-anywhere policy
• 401(k) matching and employee stock purchase program
• Professional development stipend and tuition reimbursement
• HubSpot Academy courses and ongoing learning opportunities
• Parental leave, fertility benefits, and family-forming support
• Wellness programs including mental health resources and gym memberships
• Vibrant company culture with team offsites, volunteer days, and culture hacks

HubSpot is an equal opportunity employer.