Head of AI & System (AI)

Location: Paris, France. Flexible on-site policy: 4 days per month remote and 3 full weeks remote per year, non-consecutive.

Company

hirify.global is an AI-powered spend management and procurement platform covering procurement, payment cards, expense management, invoice processing, and accounting automation.

What you will do

• Design and ship production AI applications for GTM execution, including agents, enrichment pipelines, conversation intelligence, automated reporting, and decisioning.
• Enable the GTM Ops Partner team to deliver most AI use cases through reusable patterns, guardrails, components, and training.
• Own Salesforce and the surrounding GTM systems architecture, including the data model, integrations, and tooling layer.
• Make build-versus-buy decisions and maintain a simple, adaptable systems stack.
• Introduce release management, deployment pipelines, testing, and change control for revenue-impacting systems subject to audit and controls standards.
• Build and lead a GTM Engineering team combining AI engineering and Salesforce expertise.

Requirements

• Production experience building and shipping LLM-powered workflows with measurable business impact.
• An informed and opinionated view of applied AI in GTM contexts, including how to assess reliability and practical value.
• Deep Salesforce expertise at the object and architecture level, including lead, opportunity, account, and quote objects, plus release management or deployment pipelines.
• Typically 6+ years building and owning GTM or revenue systems, including leading or mentoring others; shipped work matters more than tenure.
• Pragmatic build-versus-buy decision-making and the ability to defend decisions to engineers and executives.
• Ability to explain technical trade-offs to non-technical stakeholders without losing substance.
• Comfort working with audit, controls, and compliance requirements.
• Applications and CV must be submitted in English.

Nice to have

• Production-scale experience with orchestration tools such as n8n, Claude co-work, or Make alongside LLM tooling.
• Experience with data enrichment and GTM tools such as Clay, Cargo, prospecting tools, or call-recording tools.
• Fintech or other regulated-environment experience.
• Data engineering background.

Culture & Benefits

• Ownership, autonomy, openness to ambiguity, curiosity, kindness, and a positive approach to challenges.
• International team with employees from more than 35 countries.
• 4 remote days per month and 3 full non-consecutive remote weeks per year.
• 60% lunch funding through a Swile card, Alan Premium health insurance, Gymlib, and Moka.care wellbeing access.
• Latest Apple equipment and office snacks.