Engineering Manager (AI Customer Service)

TL;DR

Engineering Manager (AI Customer Service): Leading the Forward Deployed Engineering team in EMEA, focusing on scaling hirify.global's AI-first platform to complex organizations with an accent on technical execution and business value outcomes. Focus on translating field experience into actionable feedback for R&D and ensuring successful customer deployments.

Location: Dublin, Ireland; London, England. Expect employees to be in the office at least three days per week.

Company

hirify.global is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

What you will do

• Lead, coach, and nurture a high-performing FDE team while operating under pressure in high-stakes customer engagements.
• Own end-to-end outcomes through clarity in communication, speed of execution, tight coordination, and technical quality.
• Operate as a player-coach, actively engaging in strategic deals while developing team capabilities.
• Lead discovery, design, and delivery of tailored technical solutions, including PoCs, evaluations and business value assessments.
• Champion a customer-obsessed culture, noticing early indicators of success or failure in customer engagements and raising and correcting them with urgency.
• Contribute to codifying successful deployments into reusable tools, playbooks, and inputs to the product roadmap.

Requirements

• 3+ years of technical experience in roles such as Software Engineer, Forward Deployed Engineer, Solutions Architect, Applied AI or related technical roles.
• Having 2+ years of experience leading technical customer-facing teams, with a proven track record of mentoring and managing high-performing teams.
• Strong technical judgment and the ability to coach engineers through complex architectural trade-offs.
• Comfortable with a problem space that is ambiguous in nature, and capable of translating that ambiguity into clear signals for Product and Engineering and for positive customer outcomes.
• Ability to flex working hours to partner with global teams.
• Excellent communication and presentation skills.

Nice to have

• Experience selling and deploying AI, data, or highly technical products in complex enterprise environments.
• Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production.
• Experience hiring and managing high-performing teams.

Culture & Benefits

• Competitive salary and equity in a fast-growing start-up.
• Lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Regular compensation reviews.
• Pension scheme & match up to 4%.
• Comprehensive health and dental insurance.
• Flexible paid time off policy.