Head of GTM AI and Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of GTM AI and Engineering based in the United States.

As the Head of GTM AI and Engineering, you will lead the strategy, development, and execution of AI-powered technologies that transform go-to-market operations at scale. This executive leadership role combines engineering, artificial intelligence, data science, and product management to build intelligent systems that improve business performance and customer outcomes. You will oversee multidisciplinary teams responsible for developing advanced AI models, automated workflows, and scalable data platforms while partnering closely with senior leaders across engineering, product, and revenue operations. Working in a high-growth, innovation-driven environment, you will define the long-term vision for AI adoption across GTM functions and foster a culture of technical excellence, collaboration, and continuous improvement. This is an exceptional opportunity for an experienced technology leader to shape enterprise-wide AI capabilities and drive meaningful business impact.

Accountabilities: 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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1