Head of Sales Engineering

Role overview

This is a senior leadership opportunity based in Ireland, offered on behalf of a partner organization that handles applications and the subsequent hiring steps. The role centers on establishing and expanding a technical sales engineering function across EMEA, with a strong focus on enterprise AI adoption and business impact.

You will serve as the link between advanced AI capabilities and commercial outcomes, guiding strategic discussions with executive stakeholders such as CIOs and CTOs. The position calls for someone who can combine deep technical credibility with strong executive communication, turning complex AI systems into clear value propositions for large enterprises. In addition, you will create and lead a high-caliber evangelism and solutions engineering team, help shape go-to-market direction, and influence product strategy in a rapidly scaling, venture-backed environment.

Accountabilities

• Own senior-level technical sales interactions, including discovery conversations, architecture reviews, and solution validation with executive and technical stakeholders.
• Serve as the main technical expert in advanced deal cycles, translating AI architecture into outcomes tailored to each customer’s business needs.
• Support the sales organization by addressing technical objections and helping move important enterprise opportunities forward.
• Represent the company in public-facing settings such as executive briefings, conferences, workshops, and industry events.
• Design repeatable technical narratives, including demo structures, presentation flows, and industry-specific messaging.
• Recruit, guide, and grow a high-performing Sales Engineering and Evangelism team across multiple regions.
• Establish standards, playbooks, and best practices that raise the quality of technical selling and field execution.
• Work closely with Product and Sales to improve messaging, positioning, and roadmap priorities using market feedback.
• Convert insights from customer conversations and field activity into recommendations that inform product direction and strategy.
• Maintain consistency and high quality across global pre-sales technical engagements.

Requirements

• Extensive leadership experience in Sales Engineering, Solutions Architecture, Field CTO, or another enterprise-facing technical leadership role.
• Strong expertise in AI and machine learning systems, including LLM architectures, orchestration frameworks, and enterprise deployment approaches.
• Solid knowledge of enterprise integration patterns, security requirements, and scalable system architecture.
• Proven success working in enterprise sales environments with long and complex deal cycles.
• Demonstrated ability to build, scale, and lead strong technical teams.
• Excellent presentation and communication skills, with the ability to make sophisticated technical ideas accessible to executive audiences.
• Experience speaking publicly through conferences, thought leadership, or similar external-facing activities.
• Commercially minded, with the ability to align technical decisions to revenue goals.
• Experience in data-intensive or enterprise-focused sectors such as financial services, enterprise software, consulting, or similar domains.

Benefits

• Competitive executive compensation with performance-linked incentives.
• Opportunity to create and lead a global Sales Engineering and Evangelism function from the start.
• High ownership and autonomy within a fast-growing, venture-backed AI company.
• Exposure to advanced enterprise AI technology and major enterprise customers.
• Meaningful influence over product strategy, messaging, and go-to-market direction.
• A fast-moving environment with close collaboration with founders and senior technical leaders.
• International scope with opportunities to build teams across regions.
• Strong long-term career growth potential in an expanding global organization.

Additional information

This posting is shared through a partner company that manages applications and next steps. Selection is supported by an AI-based matching process designed to review candidates quickly and fairly against the role’s core requirements. The shortlist is passed to the hiring company, which makes the final hiring decisions and manages interviews and assessments.

By applying, candidates agree that their personal data may be processed to assess candidacy and shared with the employer where appropriate, in line with applicable data protection laws including GDPR. The process may also use AI-assisted tools to support resume review and related screening tasks, but human review remains part of the final decision-making process.