Head of GTM AI and Engineering

About the role

The Head of GTM AI and Engineering is responsible for leading the development and execution of AI-powered technologies that transform go-to-market operations at scale. This role combines engineering, artificial intelligence, data science, and product management to build intelligent systems that improve business performance and customer outcomes.

Responsibilities

• Define and execute the long-term AI strategy and technical roadmap for go-to-market systems, ensuring scalable, intelligent solutions that enhance business performance and operational efficiency.
• Lead, mentor, and grow multidisciplinary teams of AI Engineers, Data Scientists, Data Engineers, and Product Managers while fostering an inclusive, high-performing engineering culture.
• Oversee the design and deployment of production-grade AI models, intelligent automation, forecasting engines, and data pipelines that streamline workflows and eliminate operational bottlenecks.
• Establish rigorous quality standards, governance frameworks, and validation processes to ensure the reliability, accuracy, and trustworthiness of AI-driven insights and recommendations.
• Partner closely with executive stakeholders across engineering, product, revenue operations, and business functions to align AI initiatives with strategic priorities and enterprise objectives.
• Drive the implementation of scalable data architectures, standardized metrics, self-service analytics, and AI-enabled decision-making capabilities across the organization.
• Champion a customer-focused, innovation-driven culture by encouraging continuous learning, cross-functional collaboration, and long-term technology leadership.

Requirements

• Minimum of 12 years of experience in software engineering, data science, revenue technology, or a related technical discipline.
• At least 5 years of experience managing engineering leaders or other people managers within complex, high-growth technology organizations.
• Strong hands-on expertise in modern artificial intelligence technologies, including large language models (LLMs), AI orchestration, intelligent agents, and production AI architectures.
• Proven experience designing and deploying enterprise-scale AI workflows, automation platforms, or advanced data engineering solutions.
• Deep understanding of large-scale data modeling, SQL, BigQuery or comparable cloud data platforms, and modern analytics ecosystems.
• Experience working with CRM platforms, enterprise data warehouses, business intelligence tools, and go-to-market technology stacks is highly desirable.
• Demonstrated ability to translate complex technical concepts into clear business strategies and communicate effectively with executive and non-technical stakeholders.
• Strong leadership, strategic planning, organizational, and cross-functional collaboration skills with experience driving large-scale transformation initiatives.
• Experience supporting usage-based, consumption-driven, or product-led growth business models is considered an advantage.

Benefits

• Competitive annual base salary ranging from $196,000 to $350,000 USD, based on experience, skills, qualifications, and location.
• Eligibility for performance-based bonuses, variable compensation, and equity awards, including initial and ongoing RSU grants where applicable.
• Flexible remote work model with the option to work from anywhere within the United States, depending on business requirements.
• Comprehensive medical, health, and wellness benefits.
• Generous parental leave programs.
• Professional development stipend to support continuous learning and career growth.
• Opportunity to work on cutting-edge AI technologies within a fast-growing public technology company.
• Collaborative, inclusive, and innovation-focused culture that encourages ownership, leadership, and long-term career development.