AI Project Manager (Growth Marketing)

Sobre el puesto

Company Description

At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients.

Learn more about our products here: pro.doctoralia.es

Why join us?

Real impact – We help doctors help patients. Your work truly makes a difference.

At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on.

✨ Shape the future, sustain growth – Make a difference now and build for long-term success.

About the team

Growth Marketing B2B brings doctors and clinics to Docplanner and turns them into customers. We own the B2B funnel across all our markets: lead generation, MQL quality and reachability, and the hand-off to Sales.

We believe AI will change how B2B marketing works, and we want to lead that change, not follow it. That means testing new AI tools, agents and automations fast, keeping what moves the funnel, and turning it into the standard way every marketing team at Docplanner works.

We work the way Docplanner works: results over tasks, lean and hands-on, learning by doing.

Job Description

As AI Project Manager in Growth Marketing B2B, you find, test and launch the AI tools and solutions that make our whole marketing team faster and more effective. You own each project end to end: from the first idea or use case to a setup that markets run on their own and that shows up in the business numbers.

You are accountable for the outcome, not for tracking tasks. A project is done when it is adopted and delivers results at scale, not when the tool goes live.

No two projects are the same. One week you're piloting an AI calling bot with two markets; the next you're building an agent that automates campaign reporting, or rolling out a new AI workflow to every marketer. You know the AI landscape well enough to pick the right tool for the problem, you're hands-on enough to set it up yourself, and you're honest enough to stop what doesn't work.

How will you make an impact?

You will run a portfolio of AI experiments, rollouts and internal enablement projects where marketing, sales and automation meet. Examples:

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Conversational WhatsApp bot. Test new use cases, find the ones that bring business results, and turn them into a standard setup every market can launch and run on its own.

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MQL reachability with AI. Pilot the WhatsApp bot and an AI calling bot to contact more leads, faster. Prove the impact on contact rate and pipeline, then scale what works.

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AI agents and automations for marketers. Automate repetitive work such as campaign reporting, lead enrichment and content localisation with agents and no-code tools (n8n, Make, Zapier).

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AI tool scouting and adoption. Evaluate new AI tools for the marketing team, run the business case and security review with IT, and roll out the winners with training and clear guidelines.

Every project follows the same path: use case → hypothesis → pilot → measured result → playbook and setup for markets → adoption.

Responsibilities

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Own the outcome. Set the goal, KPIs, plan, budget and timeline for each AI project, and answer for the result.

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Find the right problems for AI. Spot where marketers lose time or where the funnel leaks, and turn those into AI use cases with a clear business case.

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Test before you scale. Turn use cases into hypotheses with success criteria, run pilots with local teams, and decide on data whether to scale, iterate or stop.

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Build hands-on. Configure tools, write and test prompts, build agents and automations, and connect them to our stack (HubSpot, Salesforce, WhatsApp). Unblock issues yourself and escalate early when you can't.

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Choose tools wisely. Scout and compare AI vendors, run the evaluation with IT, Legal and Security (data privacy, GDPR), and negotiate what we need.

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Make it work for markets. Build the playbooks, prompt libraries, training and handover that let every market adopt proven solutions on their own.

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Raise the AI level of the whole team. Share what works, run demos and enablement sessions, and help marketers use AI in their daily work.

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Report in business terms. Share results (MQLs, contact rate, meetings booked, conversion, hours saved) and what we learned, so the next project goes faster.

Qualifications

What will help you thrive?

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3+ years managing projects in marketing, growth, marketing operations or a similar commercial area, with at least 1 year focused on AI or automation projects.

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AI projects you owned that delivered measurable results, and you know the numbers.

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Deep, daily, hands-on use of AI tools (e.g. ChatGPT, Claude, Gemini, Copilot) to research, analyse, write and automate, and you can show us how.

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Experience building AI agents or automations yourself with no-code or low-code tools (e.g. n8n, Make, Zapier), including APIs and webhooks.

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A solid grasp of how LLMs work: prompting, their limits and risks (hallucinations, data privacy), and how to evaluate output quality.

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Strong analytical skills: you set KPIs, read data and make decisions from it.

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Experience running pilots and scaling them across teams, markets or regions.

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You act without waiting for instructions and bring structure where there isn't any.

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You challenge assumptions, including the hype: you know when AI is the answer and when it isn't.

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You work well with many stakeholders, including senior ones, and get things done without formal authority.

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Fluent English.

What we offer

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Real ownership: AI projects that are yours, with visible impact on how marketing works across all our markets.

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New technology first: work with conversational AI, agents and automation…