C

Clara

Spend management platform with corporate cards

GEO Expert

Growth Marketing +1Posted on Nov 11
Full-time

About the Job

Requirements

  • Experience optimizing a website or content for search through traditional SEO, content growth hacking, or early GEO work, with experiments that moved measurable outcomes such as traffic, rankings, citations, or qualified leads.
  • Hands-on experience building agents, automations, or pipelines that perform work without continuous manual involvement.
  • Daily use of AI tools in a work process to research, test hypotheses, audit content, and build.
  • Ability to set up tracking, analyze results, and discontinue ineffective tests.
  • Ability to generate and test novel hypotheses in an emerging field.
  • Ability to work quickly and build processes in an unproven function.
  • Ability to communicate results and tradeoffs to non-technical stakeholders.

Responsibilities

  • Own Generative Engine Optimization for Clara.com and other sites, including how content, structure, and data are cited, summarized, and recommended by AI search and answer engines.
  • Audit Clara’s visibility across ChatGPT, Perplexity, Gemini, Claude, and other LLM-powered search surfaces, and establish a baseline for measurement.
  • Design and run experiments involving structured data, content formatting, citation-worthy page design, llms.txt-style approaches, and other emerging GEO tactics; measure their effects.
  • Build AI agents and automated pipelines for citation and brand-mention tracking across LLM engines, content audits and rewrites for machine readability, and repeatable automation using tools such as n8n, Make, or Zapier.
  • Use AI coding tools such as Claude Code, Cursor, or v0 to build scrapers, dashboards, scoring scripts, or internal applications for tracking GEO performance.
  • Use AI in daily work to audit how LLMs represent Clara, orchestrate multi-step agent workflows for content analysis, and generate or restructure content at scale.
  • Run fast, quantified growth-hacking tests to identify approaches that improve visibility in AI-generated answers.
  • Create benchmarks and reporting for leadership to assess what is working, ideally through a self-serve dashboard.
  • Monitor changes in AI engines, ranking signals, agent frameworks, and AI citation behavior.

Desired Qualifications

  • Engineering background or comfort with code, including structured data such as schema.org, working with APIs, or writing scripts and tools.
  • Experience with AI agent frameworks or orchestration, including multi-step agents, MCP-based workflows, or custom GPTs.
  • Experience with llms.txt, structured data, or other emerging standards for AI-readable content.
  • Experience building programmatic content pipelines that generate and publish content at scale through automation.
  • Traditional SEO experience in technical SEO, content strategy, or link building.
  • Experience in fintech, payments, or B2B SaaS.
  • Fluency in more than one of Spanish, Portuguese, or English.

About the Company

Clara

Spend management platform with corporate cards

Clara provides a spend management platform and related financial services to Latin American businesses. It helps companies track, control, and optimize expenses through its core spend management software. In addition, Clara issues locally-issued corporate cards, offers Bill Pay to simplify paying bills, and provides financing options to support growth. The business model combines subscription fees for the platform with transaction-based revenue from card usage, payments, and financing. Clara differentiates itself by focusing on the Latin American market, delivering integrated tools within one ecosystem (spend management, corporate cards, bill pay, and financing) tailored to local needs, and by emphasizing core values like ownership, clarity, simplicity, and inclusivity. Its goal is to enable businesses in the region to gain financial clarity and agility, helping them manage spending efficiently and access growth capital.

Company size
501-1,000
Company stage
Series C
Total funding
$639.5M
Headquarters
Mexico City, Mexico
Founded
2020

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