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Clara is a fast-growing fintech company in Latin America building financial infrastructure for businesses. They provide corporate cards, bill pay, financing, and a B2B platform serving over 20,000 companies. The company is backed by top-tier investors including Kaszek, Coatue, DST Global, and General Catalyst.
You'll build AI-powered automation tools that accelerate Clara's sales and customer lifecycle operations. This is a hands-on engineering role focused on shipping working products—not just experimenting with AI. You'll own the full lifecycle from idea to production, working at the intersection of Sales, Lifecycle, and AI.
Key responsibilities include:
- Design and ship AI agents and workflows for prospecting and SDR support using tools like Amplemarket, Clay, HubSpot, and LLM APIs, integrated via n8n or custom code
- Build end-to-end lifecycle automation for onboarding, activation, and retention across email, WhatsApp, and push using Customer.io and internal data infrastructure
- Create systematic lead scoring, routing, and handoff logic to reduce manual work for sales reps
- Prototype rapidly, validate against real pipeline and activation metrics, and scale what works
- Partner with Sales, SDR leadership, Lifecycle, and Data/Engineering teams to identify high-impact automation opportunities
- Measure impact using Metabase, HubSpot, and Customer.io data to track CAC payback, meetings booked, activation rates, and pipeline generation
You need 2+ years building automation, internal tools, or AI products (shipping real work, not just using AI tools). Required skills: workflow platforms (n8n, Zapier, Make), CRM/lifecycle platforms (HubSpot, Customer.io, Salesforce), API integration, basic scripting (Python/JavaScript), and strong English communication. You should be comfortable shipping rough versions quickly rather than perfecting specs.
Preferred experience includes lifecycle marketing, RevOps, sales engineering, or software engineering backgrounds; familiarity with sales engagement tools (Amplemarket, Clay, Apollo); LLM API experience; B2B SaaS or fintech background; startup experience owning projects end-to-end; and Portuguese proficiency.
