Director of AI Enablement

About the Position

Director of AI Enablement

Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.

Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.

Responsibilities

• Architect AI-Native Workflows (and Growth Infrastructure): Identify high-leverage interventions where AI can eliminate human friction. Build the "hard" integrations - custom agent architectures and complex data pipelines - and also the broader Growth Enablement foundations: data frameworks, marketing data architecture, attribution modeling & MMM, marketing analytics/reporting, and experimentation platform governance (e.g., GrowthBook).
• Drive 100x Experimentation Velocity: Move us from a 4–8 week manual test cycle to a system where AI detects anomalies, generates hypotheses, and deploys signal-triggered experiments autonomously by Day 90.
• Scale Winning Patterns: Package successful experiments into "AI Enablement in a Box" toolkits, activating a network of AI Champions across every department, from Finance to CS, ensuring that Growth’s experimentation DNA becomes the company’s operating system.
• Bridge the Product Gap: As Lodgify moves toward an agentic product model (AI co-hosts, direct booking agents), you will collaborate with Engineering to run growth experiments directly on top of AI-native surfaces.
• Own the Stack: Evaluate and consolidate our AI and MarTech tools to ensure we are operating with maximum speed and zero "coordination tax."

Requirements

• At least 6-10+ years of experience across Growth, MarTech, or Product. You understand the funnel and lifecycle, and you also speak "API" and "Architecture" fluently with engineers.
• Experience operating in a high-growth B2B SaaS environment.
• Hard requirement: you haven’t just used AI tools - you have shipped an AI agent, an automation, or an AI-native workflow that is currently in production.
• Experience running rigorous A/B testing programs. You understand statistical significance, ICE prioritization, and how to design tests that yield clean, attributable data.
• Your default mode is to build a prototype, not a slide deck. You get frustrated by slow feedback loops, and you build tools to break them.
• Comfortable with prompt engineering, AI agent frameworks (n8n, Zapier AI, etc.), and the emerging MCP ecosystem.
• Analytics fluency: comfortable across both product behavior data (Amplitude / Mixpanel) and marketing performance data (GA4 / GA4 360, HubSpot Analytics, Omni, Tableau), and able to leverage AI-native analytics tools (LibreChat or equivalent) for natural language exploration.

Processes & Operating Model

• Partner closely with the CGO and Growth leaders to set priorities, define the experimentation cadence, and align incentives and measurement.
• Build an operating model that keeps experimentation inside Marketing/Sales/Partnerships teams while ensuring patterns are captured, standardized, and scaled.
• Collaborate with Engineering, Data, and IT to ship secure, maintainable integrations and data pipelines that reduce "coordination tax" across the org.

The First 6 Months

• Month 1 - Ship: Deliver a tangible capability into the hands of Growth teams (not a roadmap).
• Months 2–3 - Compound: Increase experimentation throughput in Growth, codify repeatable patterns, and start seeding champions.
• Months 4–6 - Champions active: A champion network is running experiments independently; the platform and agentic product surface enable compounding velocity.

What Makes This Hard (and Why It’s Exciting)

• You must operate in three modes at once: infrastructure builder, squad manager, and culture catalyst.
• There is no off-the-shelf playbook: you’ll define the system while shipping continuously.
• You will influence across multiple teams and domains (Growth, Engineering, Data, IT) - often without direct authority - and still deliver measurable outcomes quickly.
• The context is fast-moving: as our product becomes more agentic, Growth’s experimentation surface expands and the bar for speed increases.

We Offer

• Remote Flexibility: The freedom to work from home any day that works for you.
• Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August.
• Alan Health Insurance: Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.
• Meal Perk: €150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.
• Tax-Free Savings: Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).
• Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.
• Language Learning: Free Spanish classes.
• Referrals: Cash rewards for bringing in new talent.
• Social Life: Daily office breakfast and monthly team events.
• Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.

Benefits offered may differ based on the type of contract that is issued

So, what are you waiting for? Apply now!

All applications and CVs must be submitted in English 😉

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.