Head of Machine Learning

About the Role

The role entails working closely with cross-functional teams, including engineering, product, and sales, to identify opportunities for machine learning applications and drive business growth. You will be responsible for building and leading a team of talented machine learning engineers and researchers, fostering a culture of innovation and collaboration.

Hightouch is committed to making a meaningful impact for its customers, and as the Head of Machine Learning, you will be instrumental in achieving this goal. Your technical expertise and leadership abilities will be essential in navigating the complexities of machine learning and driving the company's mission forward.

What You Will Do

• Lead the development and execution of Hightouch's machine learning strategy, aligning with the company's overall business objectives
• Build and manage a high-performing team of machine learning engineers and researchers, providing guidance and mentorship to ensure their growth and success
• Collaborate with cross-functional teams to identify opportunities for machine learning applications and drive business growth
• Design and develop machine learning models and algorithms that can be applied to large datasets, driving predictive insights and personalized customer experiences
• Work closely with the product team to develop and launch new features and products, ensuring seamless integration with existing systems
• Develop and maintain relationships with key stakeholders, including customers, partners, and industry leaders
• Stay up-to-date with the latest advancements in machine learning and AI, applying this knowledge to drive innovation and growth at Hightouch
• Lead the development of probabilistic identity resolution, content generation, and personalization and product recommendation models
• Build and manage the infrastructure to support model training and inference at scale

What We Are Looking For

• 8+ years of experience in machine learning, with a strong background in AI and data science
• Proven track record of leading high-performing teams and driving business growth through machine learning applications
• Strong technical skills in machine learning, including model development, training, and deployment
• Experience with cloud-based data warehouses and databases, including Snowflake and Databricks
• Excellent leadership and communication skills, with the ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders
• Strong understanding of the marketing landscape and the role of machine learning in driving personalized customer experiences
• Experience with agile development methodologies and version control systems, such as Git
• Strong problem-solving skills, with the ability to navigate complex technical challenges and drive innovative solutions

Nice to Have

• Experience with LLMs and agentic AI, with a strong understanding of their applications in marketing and growth
• Familiarity with containerization and orchestration tools, such as Docker and Kubernetes
• Experience with cloud-based machine learning platforms, including Google Cloud AI Platform and Amazon SageMaker
• Strong understanding of data privacy and security, with experience in ensuring the secure deployment of machine learning models
• Experience with DevOps practices, including continuous integration and continuous deployment

Benefits and Perks

• Competitive salary and equity package
• Opportunity to work with a cutting-edge AI platform and drive innovation in the marketing landscape
• Collaborative and dynamic work environment, with a team of talented professionals who are passionate about machine learning and AI
• Flexible working hours and remote work options, with a stipend for home office setup and internet expenses
• Access to cutting-edge tools and technologies, including cloud-based data warehouses and machine learning platforms
• Opportunities for professional growth and development, including training and conference sponsorships
• Comprehensive health insurance and retirement savings plan
• Generous PTO and holiday package, with a minimum of 20 days off per year

• To stand out as a candidate, be prepared to provide specific examples of your experience in machine learning, including model development, training, and deployment.
• Make sure to highlight your leadership skills, including experience in managing high-performing teams and driving business growth through machine learning applications.
• Familiarize yourself with Hightouch's products and services, including its AI platform and machine learning capabilities.
• Be prepared to discuss your experience with cloud-based data warehouses and databases, including Snowflake and Databricks.
• Consider creating a portfolio of your work, including examples of machine learning models you have developed and deployed.
• Don't be afraid to ask questions during the interview process, including questions about the company culture, team dynamics, and opportunities for growth and development.
• Be prepared to negotiate your salary and benefits package, including equity and bonuses.