⭐ Role Overview

The AI era is fundamentally changing what growth means. Companies that become AI-native-not just AI-aware-will compound their advantages at 100x speed.

We are looking for a Director of AI Enablement reporting directly to the Chief Growth Officer.
You will lead and manage the Growth Enablement Squad-a cross-functional team including product managers, engineers, data analysts, and UX-responsible for building the infrastructure and integrations that make every marketing, sales, and partnership team hyper-effective.

This is not a "training" or "governance" role, and it is not a solo contributor position. You are an architect, a builder, and a people leader. You won't just hand out playbooks; you will build the engine that makes experimentation structural and relentless, while developing and empowering your team to scale AI enablement across the organization.

Our goal: turning every team into a high-velocity experimentation engine. Instead of executing AI on their behalf, we build the core platform and frameworks that remove technical debt and raise the floor. We handle the complex infrastructure so they can focus on relentless growth

⭐ How will you make an impact?

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."

⭐ What makes you a great fit?

You have 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.
You've previously operated 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.
You've run 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.
You are 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.