AI Growth Automation Engineer

Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.

What you'll do

We're looking for someone who gets a kick out of turning "someone should really automate this" into a working tool by next week. You'll sit at the intersection of Lifecycle, Sales, and AI — building the agents, workflows, and internal products that let Clara prospect, sell, and onboard faster and smarter than a headcount-only approach ever could. This isn't a "use AI to write better emails" role. It's a build role. You'll ship things: SDR co-pilots, outbound agents, lifecycle automations, onboarding flows — and you'll own whether they actually move pipeline and activation, not just whether they're clever.

You will:

• Build AI-powered prospecting & SDR tooling: design and ship agents/workflows that find, qualify, and engage prospects, and that get meetings on AEs' calendars — using tools like Amplemarket, Clay, HubSpot, and LLM APIs, glued together with n8n or custom code.
• Own lifecycle automation end to end: build and iterate on onboarding, activation, and retention flows across email, WhatsApp, and push, using Customer.io and our internal data stack, with AI doing the heavy lifting on personalization, timing, and content generation.
• Design the SDR-to-AE handoff as a system, not a manual process: instrument lead scoring, routing, and handoff logic so reps spend time on conversations, not admin.
• Prototype fast, validate faster: you're expected to go from idea to working internal tool in days, test it against real pipeline/activation metrics, kill what doesn't work, and scale what does.
• Partner cross-functionally: work directly with Sales, SDR leadership, Lifecycle, and Data/Eng to identify where automation unlocks the most value, and to make sure what you build actually gets adopted.
• Turn data into iteration: use Metabase, HubSpot, and Customer.io data to measure what your builds are actually doing to CAC payback, meetings booked, activation rate, and pipeline generated — and report on it in plain, honest terms.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.