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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 regional and global investors including Kaszek, Monashees, Coatue, and General Catalyst.
You will join Clara Ops as an AI Business Operations Analyst, reporting to the Global Head of Operations. This role sits at the intersection of strategy, automation, and execution—identifying operational workflows where AI and automation can replace manual, repetitive, or error-prone processes.
Key responsibilities include:
- Map high-friction workflows across Clara and prioritize them for AI-augmentation, building a compounding roadmap of impact.
- Design and deploy AI-powered workflows using Claude, n8n, and LLM APIs to automate processes that weren't previously possible.
- Collaborate with commercial and operational leaders to identify where agent-based or rule-based automation can improve speed, accuracy, or capacity without adding headcount.
- Build and maintain operational dashboards in Metabase to surface critical KPIs and flag anomalies.
- Partner with Product and Product Marketing on process changes tied to feature launches, ensuring operational readiness.
- Serve as the internal expert on AI tooling for operations—evaluating new tools, sharing best practices, and building Clara's internal playbook.
- Identify data gaps and work with Engineering to create instrumentation or pipelines for better operational decisions.
- Document processes clearly for maintainability and handoff.
Required qualifications:
- Experience at a top consulting firm (Bain, BCG, McKinsey) or similar professional services/high-velocity startup.
- Proven AI automation track record with demonstrated shipped examples.
- 3–7 years in operations, strategy, or related field, ideally in LatAm fintech, payments, or high-growth B2B SaaS.
- Hands-on experience building automated workflows with n8n, Make, Zapier, or similar no-code/low-code tools.
- Familiarity with CRMs (HubSpot, Attio, Salesforce), support systems (Zendesk), data warehouses (Databricks, Snowflake), and BI tools.
- Comfortable working directly with LLM APIs (OpenAI, Anthropic) to build operational tools and agents.
- Strong analytical skills with SQL or BI tool proficiency (Metabase).
- Structured thinking with bias for action; ability to break down complex problems and move fast.
- Excellent communication skills translating technical solutions to non-technical stakeholders.
