Clara Logo

Clara

AI Business Operations Expert - Bogotá (Hybrid)

Posted 2 Months Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in DC, USA
Senior level
Remote or Hybrid
Hiring Remotely in DC, USA
Senior level
Own Clara’s AI operations strategy by identifying high-friction workflows, designing and scaling AI-powered automations, and measuring enterprise impact. Build workflows with N8N and LLM APIs, create Metabase dashboards, identify data gaps, support product launches, and collaborate with Engineering on Databricks pipelines. The role advises senior leaders across Product, Sales, Finance, and Engineering while establishing AI operations best practices and documentation.
The summary above was generated by AI

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 an AI Business Operations Expert to join Clara Ops and architect a new era of how we run the company. This is a highly strategic, senior individual contributor role. You will be the visionary who spots where human effort can be optimized by machines—and then designs, deploys, and scales the enterprise-grade systems that make it happen. Sitting at the intersection of strategy, automation, and execution, you will work across leadership teams to eliminate friction, accelerate decisions, and raise the operational ceiling of Clara.

You will report to the Global Head of Operations and act as a strategic partner to senior leaders in Product, Sales, Finance, and Engineering. You will own the full automation lifecycle: identifying the opportunity, architecting the solution, deploying it with advanced AI tooling, and measuring the enterprise-wide impact.

  • Map complex, high-friction operational workflows across Clara and strategically prioritize them for AI augmentation, building a high-impact roadmap that compounds in value over time.

  • Lead the design, deployment, and iteration of advanced AI-powered workflows using N8N, Claude Code/Codex, and other LLM APIs to replace manual, error-prone processes and unlock new operational capabilities.

  • Collaborate with executive and operational leaders to implement agent-based or rule-based automation that drastically improves speed, accuracy, and capacity—scaling the business without linearly adding headcount.

  • Architect and maintain sophisticated operational dashboards in Metabase to surface critical KPIs and flag anomalies before they impact the business.

  • Partner with Product and Product Marketing to ensure seamless operational readiness for new feature launches, designing the automated processes that support them from day one.

  • Serve as Clara’s preeminent internal expert on AI operations—evaluating new technologies, establishing best practices, and building the definitive playbook on how we leverage AI for operational excellence.

  • Identify critical data gaps and collaborate closely with Engineering to design the instrumentation and Databricks pipelines needed to power advanced operational decisions.

  • Document architectures and processes comprehensively in Google Drive and Slack to ensure maintainability, scalability, and seamless cross-functional handoffs.

  • Lead and scale a "team of AIs"—maximizing an unlimited token budget to drive exponential output—rather than focusing on traditional people management.

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.

Must haves

  • Working proficiency in English and Spanish.

  • 7+ years of experience in operations, strategy, or a related field—ideally in a LatAm fintech, payments, or high-growth B2B SaaS company. A background at a top consulting firm (Bain/BCG/McKinsey) or high-velocity startup is highly valued.

  • Proven, expert-level AI automation track record. You have demonstrated experience architecting, scaling, and augmenting operations with AI at an enterprise level. This is not aspirational—we want to see complex, automated systems you've successfully shipped.

  • Advanced hands-on experience building automated workflows with platforms like N8N, Make, or Zapier—no-code and low-code fluency is a strict requirement.

  • Deep familiarity with enterprise systems of record, including CRMs like HubSpot or Salesforce, support triage (e.g., Zendesk), data warehouses (e.g., Databricks, Snowflake), and BI platforms.

  • High comfort level working directly with LLM APIs (OpenAI, Anthropic, etc.) to build advanced operational tools and agents, with the technical acumen to bridge the gap between business operations and engineering.

  • Exceptional analytical skills, with the ability to query data in SQL or build complex visibility models in Metabase to drive executive decision-making.

  • A structured, strategic thinker with a strong bias for action: you break down ambiguous problems, make high-stakes decisions with incomplete data, and move fast while maintaining system integrity.

  • Excellent verbal and written communication skills, seamlessly translating technical AI solutions into business terms for senior stakeholders and business needs into precise specs for engineers.

  • Proven role-specific execution in a fast-paced environment, showcasing your adaptability to fast-changing priorities.

  • An intrinsic passion for leveraging AI tools to automate workflows and redefine what is operationally possible.

Nice to haves

  • Independent analytical skills using 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.

Why Clara
  • 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.
How we work
  • 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

3 Hours Ago
In-Office or Remote
USA
111K-173K Annually
Mid level
111K-173K Annually
Mid level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.
Top Skills: Artificial IntelligenceConversation Intelligence ToolsCRMGongLinkedin Sales NavigatorOutreachSales Engagement ToolsSalesforceSalesloftZoominfo
7 Hours Ago
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.
Top Skills: A/B TestingClickhouseLlmsMySQLPostgresReactRuby On RailsStripeTypescript
7 Hours Ago
Remote or Hybrid
USA
15-20 Hourly
Entry level
15-20 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice and product recommendations, builds customer relationships, supports purchase decisions, and drives sales results. Maintains product knowledge, stockroom organization, POS transactions, and operational standards while collaborating with the retail team. Requires a flexible schedule, customer-focused communication, retail experience, and ability to perform physical store and stockroom duties, including lifting up to 50 pounds occasionally.
Top Skills: Omni-Channel/Virtual Selling PlatformsPoint-Of-Sale (Pos) Systems

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account