Artificial Intelligence Growth Engineer, Coverflex

• Languages: English (main) / Portuguese, Spanish, Italian or German a plus
• 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

Desirable

• 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
• 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’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

• Hiring Manager: Mário Tarouca — PLG Team Lead
• 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
• 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
• 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
• 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