AI Growth Engineer

Coverflex

1d•Remote

About The Position

Coverflex exists to make compensation work for everyone. Our platform is simple for HR and meaningful for employees, providing choice, smarter compensation tools, and empowerment. This role will play a major part in our success by iterating on AI-native growth infrastructure, identifying new automation opportunities, and reducing human touchpoints across the customer journey from acquisition through to cross-sell. The goal is to reduce Customer Acquisition Cost (CAC) and increase self-serve conversion, acting as a force multiplier for the SDR team by enabling faster loops, better tooling, and less manual work.

Requirements

Shipped AI-powered tools, workflows, or automations (evidence required).
Hands-on with no-code/low-code AI tools such as n8n, Make, WhatsApp Business API, or voice AI platforms.
Scrappy and entrepreneurial mindset (e.g., former founder, indie hacker, serial builder).
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 Haves

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.

Responsibilities

Iterate on AI-native growth infrastructure, including AI Voice Caller and AI Sequencer.
Identify new automation opportunities across the customer journey.
Reduce the need for human touchpoints from acquisition through to cross-sell.
Ship improvements to existing AI workflows or internal PLG tools.
Build a clear way to measure automation coverage, experiment velocity, and SDR time saved.
Document experiments and learnings so the team can move faster.