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 PlanBenefits: 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 o