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.
We're looking for an AI Business Operations Analyst to join Clara Ops and drive a new chapter of how we run the company. This is not a traditional ops role. You will be the person who spots where humans are doing work that machines could do better — and then builds the systems that make it happen. You will sit at the intersection of strategy, automation, and execution, working across teams to eliminate friction, accelerate decisions, and raise the operational ceiling of Clara.
You will report to the Global Head of Operations and partner closely with Product, Sales, Finance, and Engineering. You will own the full loop: identify the opportunity, design the solution, deploy it with AI and automation tooling, and measure the outcome.
- Map high-friction operational workflows across Clara and prioritize them for AI-augmentation and automation — building a roadmap that compounds in impact over time.
- Design, deploy, and iterate on AI-powered workflows using tools like Claude Code/Codex, n8n, and other LLM APIs to do things that weren’t possible before and replace manual, repetitive, or error-prone processes.
- 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 the KPIs that matter and flag anomalies before they become problems.
- Partner with Product and Product Marketing on process changes tied to new feature launches, ensuring operational readiness before every release.
- Serve as the internal expert on AI tooling for operations — evaluating new tools, sharing what works, and building the internal playbook on how Clara uses AI.
- Identify data gaps and work with Engineering to create the instrumentation or pipelines needed to power better operational decisions.
- Document processes clearly so that what you build can be maintained, improved, and handed off — not just understood by you.
- You’re excited about leading a team of AIs - not becoming a people manager - and have an unlimited token budget.
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.
Must haves:
- Experience working at top consulting firm (Bain/BCG/McKinsey) or similar professional services or/and high-velocity startup.
- Proven AI automation track record. Demonstrated examples and experience automating and augmenting operations with AI. This is not aspirational — we want to see what you've already shipped.
- 3–7 years of experience in operations, strategy, or a related field — ideally in a LatAm fintech, payments, or high-growth B2B SaaS company.
- Hands-on experience building automated workflows with tools like n8n, Make, Zapier, or similar — no-code and low-code fluency is a must.
- Familiarity or proven ability to work with company systems of records such as CRMs (e.g. HubSpot, Attio, Salesforce), Support triage (e.g. Zendesk), data warehouses (e.g. Databricks, Snowflake), and BI tools
- Comfortable working directly with LLM APIs (OpenAI, Anthropic, etc.) to build operational tools and agents, even if you're not a software engineer.
- Strong analytical skills — comfortable querying data in SQL or working with BI tools like Metabase to build the operational visibility Clara needs.
- Structured thinker with a bias for action: you break down complex problems, make decisions with incomplete data, and move fast without breaking things.
- Excellent communicator — you translate technical solutions into business terms for non-technical stakeholders, and business needs into precise specs for engineers.
- Fluent in English
Nice to haves:
- Basic proficiency in Portuguese or a desire to learn it.
- Independent analytical skills using Metabase, SQL, or Python to drive data-informed decision-making.
- A good sense of humor.
Where we work
This is a hybrid role: you'll split your time between the office, customers and home. We don't set a minimum number of office days for most roles — you'll spend time in the office naturally, and most days during your ramp-up or when your leader asks.
- A high talent-density team driven to make an impact in Latin America — low ego, high ownership.
- Competitive salary and stock options (ESOP) from day one.
- An annual learning budget and accelerated development paths.
- English is our working language, with Spanish and Portuguese every day.
- Clarity — Open and direct communication: we say what we mean and give context where it matters.
- Simplicity — If it can be simpler, it should be.
- Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.
- Pride — We hold ourselves to a high standard, and it shows in what we deliver.
- ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.
- Inclusivity — Diverse ideas, stories and perspectives build a better Clara.
If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
