AI Growth Engineer

🧡 Coverflex Work changed. Pay didn’t. Coverflex exists to make compensation work for everyone. Pay is still rigid, fragmented, and hard to feel. We turn compensation into choice — one platform, one card, one app — for benefits, meal allowance, insurance and more. Our platform is simple for HR and meaningful for employees. We provide choice, smarter compensation tools and empowerment. ⚙️ TL;DR (The Essentials) Role: AI Growth Engineer Seniority Level: Senior Type: Individual Contributor Languages: English (main) / Portuguese, Spanish, Italian or German a plus Main Tools: n8n / Make, WhatsApp Business API, ElevenLabs / Bland AI / Vapi or similar, HubSpot / Clay / Phantombuster / Lemlist, Amplitude / Segment, Slack e Notion Location: Remote (Europe only) Compensation: Base Salary: €42,000 – €58,000 Equity: Yes – Stock Options under our Equity Incentive Plan Benefits: you can check them below (at the end of the page) Contract Type: Permanent 💥 Your Impact Your role will play a major role in our success because… The PLG team has already built AI-native growth infrastructure — including AI Voice Caller and AI Sequencer — that is live and generating results. We now need someone dedicated to iterating on these tools, identifying new automation opportunities across the customer journey, and reducing the need for human touchpoints from acquisition through to cross-sell. Every human touchpoint automated reduces CAC and increases self-serve conversion. This role is also a force multiplier for the SDR team: faster loops, better tooling, less manual work, and stronger conversion across markets. You’ll know you’re successful when, after 90 days, you’ve… Understood the existing PLG infrastructure, including AI Sequencer, AI Voice Caller, and current acquisition flows Identified the biggest automation opportunities across acquisition, activation, and qualification Shipped improvements to existing AI workflows or internal PLG tools Built a clear way to measure automation coverage, experiment velocity, and SDR time saved Started documenting experiments and learnings so the team can move faster How we’ll measure success: Qualified signups - number of signups that activate, for example by adding employees, per market SQL rate - conversion from signup to Sales Qualified Lead per market Automation coverage - measurable reduction in human touchpoints across acquisition Experiment velocity - number of tests shipped and learnings documented per quarter Internal PLG efficiency - time saved on SDR and PLG team manual tasks ⚡ Reality Check - What Makes This Role Hard Let’s be real - here’s what makes this role challenging: You’ll be iterating on live production systems, not building in a sandbox. There is no established playbook for AI-native growth in the European micro-SMB market, so you’ll need to test, learn, and adapt quickly. The tooling landscape moves fast — what is state of the art today may be obsolete in three months. You’ll also work across different markets, including Portugal, Italy, Spain, and Germany, each with different languages, conversion dynamics, and product maturity. Speed vs quality will be a constant tension. You’ll need to ship fast, but still think clearly about business impact, user experience, and operational risk. 👤 You Must-haves (evidence, not years) Has shipped AI-powered tools, workflows, or automations — evidence required through a link, demo, or clear description Hands-on with no-code/low-code AI tools such as n8n, Make, WhatsApp Business API, or voice AI platforms Scrappy and entrepreneurial — former founder, indie hacker, serial builder, or someone who consistently builds from scratch Business-oriented: connects work to conversion rates, pipeline outcomes, CAC, SQL rate, or efficiency gains Comfortable with prompt engineering and iterating on AI-generated copy Fluent in English Nice-to-have Experience with AI voice/calling systems such as Bland AI, Vapi, or similar HubSpot automation experience Portuguese, Spanish, Italian, or German language skills Early-stage B2B SaaS or fintech background Experience in RevOps, PLG, growth hacking, or performance-driven environments Has launched own products, side projects, or AI-powered tools 🧬 Your DNA Genuinely curious about AI — explores new tools, workflows, and automation ideas for fun, not just work. Builder-first mindset: more excited about shipping something useful than discussing theory. Scrappy and business-oriented: connects tools to conversion, pipeline, CAC, and efficiency. Comfortable with ambiguity, fast iteration, and context-switching across markets. Proactive in sharing findings and documenting learnings. You’ll probably find this frustrating if… Someone who likes talking about AI more than building with it. A theorist who needs a technical team to execute. People who need clear specs or a fully defined brief before starting. Pure AI Engineers who want to focus only on models and systems without connecting their work to conversion, pipeline, or business impact. Anyone who treats tools as a checkbox rather than a craft. 👥 Manager & Team Meet Your Manager Hiring Manager: Mário Tarouca — PLG Team Lead Location: Portugal LinkedIn Profile: https://www.linkedin.com/in/mariotarouca/ Profile Snapshot: Energy: Strategic, high-output, and fast-moving. Automation-first and focused on validating ideas quickly. Communication: Direct and async-first — mostly Slack, straight to the point, no fluff. Feedback Style: Honest and direct, always tied to business outcomes. You’ll always know where you stand. How to work with me - in the Manager's own words: "I care about outcomes, not activity. I give full autonomy to people on my team — but autonomy comes with ownership, and ownership means you drive your numbers and flag blockers proactively, not after the fact. My default question is: what’s the fastest way to validate this? I'm automation-first and expect the same mindset from everyone I work with — if something can be done by a tool or a workflow, we shouldn't be doing it manually. I'm hands-on: I'll be in your experiments, your copy iterations, your dashboards. Not to micromanage, but because I think the best results come from a manager who's close to the work. I'm direct — with feedback, with priorities, with bad news. I expect the same back." Your Team You’ll work day-to-day with: The PLG Team: Giada Purini, João Campos Ferreira, Sérgio Bruno, Joana Morgado, and Lifecycle & CRM Growth AI team Mário Tarouca, PLG Team Lead Key Stakeholders: Growth AI Marketing Product RevOps Team Rituals: Weekly Team Meeting; Weekly 1:1 with Mário/Manager 💜 Access & Belonging (Equal Opportunity) We hire for impact and potential, not pedigree. We welcome applications from people with non-linear careers, career breaks, caregiving gaps, and those changing fields. No discrimination on the basis of age, disability, gender identity/expression, marital or family status, pregnancy, neurodivergence, race/ethnicity, religion/belief, gender, sexual orientation, or any other protected ground. Assessment fairness: We anchor on evidence of outcomes (what you shipped, moved, or influenced). We actively de-bias by using structured rubrics, multiple assessors, and blind screening most of the time (we won’t know your name, gender, or personal info until the interview stage). 📬 Application Clarity No cover letter required. Apply with your LinkedIn or upload your CV. You may be asked a few short, relevant questions. Total candidate time investment: ~3–4 hours end-to-end. 🧩 Hiring Stages (What to Expect, Why & How Long) 1. CV / LinkedIn Screen — Signal check vs must-haves

• Done by People + Hiring Manager.
• You’ll hear from us within 7 business days.

2. Role-Fit Questionnaire (async) Purpose: capture signals your CV can’t (languages, tools, scenario judgement) and calibrate seniority. Format: multiple choice + short answers. Accessibility: prefer a call? Tell us - we’ll swap for a short chat. 3. Hiring Manager Interview - Deep dive into your work

• 45 min

Structured around outcomes, decisions, and collaboration. 4. Case study - Let's peak into this role's challenges

• 60 min

Exercises that represent potential challenges this role would have and how you'd approach them. 5. People Interview - Allow us to know you!

• 45 min

With People. Stress-free virtual coffee, focused on getting to know you as a person. We talk about culture, beliefs, and purpose. 6. Final Conversation (CEO / C-Level) — Values, strategy, and your growth

• 30 min

🤖 AI & Hiring Tools Transparency We use a few tools to reduce bias and improve documentation, not to make hiring decisions. Teamtailor anonymisation: profiles are reviewed without relying on names/personal identifiers. Meeting recorder (e.g., Talka.ai): may be used to capture interviews so we can focus on the conversation. ChatGPT: may be used to turn interview notes/transcripts into clear, structured summaries. Important: every application is reviewed by a human, and no decision or rejection is made by AI. If recording is used, we’ll be transparent and (where required) ask for consent. ⏱️ Speed & Communication Decision: within 4 weeks of your application. Updates: weekly if the process runs longer. Scheduling: interviews between 10:00–16:00 CET (flexible across Europe). Feedback: from the Case stage onwards, you’ll always receive written or verbal feedback - what went well, and what to strengthen next time. Apply To This Job