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Clara is a fast-growing fintech company in Latin America providing payment solutions, corporate cards, bill pay, and financing to over 20,000 businesses. 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 marketing, and AI.
Key responsibilities:
- Design and deploy AI agents and workflows for prospecting and SDR support using tools like Amplemarket, Clay, HubSpot, n8n, and LLM APIs
- Build end-to-end lifecycle automation for onboarding, activation, and retention across email, WhatsApp, and push notifications using Customer.io and internal data infrastructure
- Create systematic SDR-to-AE handoff processes with lead scoring, routing, and intelligent handoff logic
- Prototype rapidly—moving from concept to working internal tool in days, then validating against real pipeline and activation metrics
- Partner cross-functionally with Sales, SDR leadership, Lifecycle, and Data/Engineering teams to identify high-impact automation opportunities
- Measure impact using Metabase, HubSpot, and Customer.io data, tracking CAC payback, meetings booked, activation rates, and pipeline generation
Required qualifications:
- 2+ years building automation, internal tools, or AI-powered products (shipping real work with APIs, LLMs, or agent frameworks)
- Experience with workflow platforms (n8n, Zapier, Make) and API integration across CRM, marketing automation, and sales tools
- Familiarity with HubSpot, Customer.io, or Salesforce
- Technical fluency to read/write basic Python or JavaScript; ability to collaborate with engineers without being blocked
- Strong English communication; ability to explain technical work to non-technical stakeholders
- Bias toward shipping rough versions quickly over perfect specs
Preferred: Lifecycle marketing, RevOps, Sales Engineering, or Product background; experience with sales engagement tools (Amplemarket, Clay, Apollo); LLM API and prompt engineering experience; B2B SaaS or fintech background; startup experience owning end-to-end projects; Portuguese proficiency.
