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Apostou.Bet

AI Specialist – Business & Operations

Apostou.Bet

AI Specialist estruturando soluções de dados e IA para CRM, Tráfego, Risco e Operações da Apostou.bet. Priorizando iniciativas, criando agentes e apoiando decisões com análises quantitativas.

Posted 8/12/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in translating business problems into AI solutions, with a strong focus on SQL for data analysis and a deep understanding of state-of-the-art AI technologies. Capable of managing stakeholder expectations and driving end-to-end initiatives in high-ambiguity environments.

Highest-signal resume keywords
Fluency In State-Of-The-Art AIProficiency In SQLExperience In Strategy & ConsultingStrong Quantitative MindsetAbility To Model End-To-End Business Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData AnalysisAI AgentsProcess MappingQuantitative AnalysisBusiness Case DevelopmentData ModelingPredictive ModelingCloud (AWS, Azure, GCP)React
Soft Skills
Stakeholder ManagementCritical ThinkingProblem SolvingCommunicationAutonomy
Tools & Technologies
Power BIBigQueryAirflowJiraLinearNotionMiro
Industry Keywords
Data & AnalyticsERPChange ManagementStrategic PlanningPMO

Tech Stack

Tools & technologies
AirflowAWSAzureBigQueryCloudERPGoogle Cloud PlatformJavaScriptNode.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact
  • Translate ambiguous business problems into structured data and AI solutions, leading end-to-end initiatives
  • Serve as the focal point for CRM, Traffic, Risk, and Operations, refining requests and managing stakeholder expectations
  • Build and maintain the AI & Data initiatives backlog, prioritizing by impact, financial return, technical feasibility, and urgency
  • Map processes and data flows, identifying gaps, redundancies, and opportunities for improvement
  • Design, configure, test, and iterate AI agents, defining scope, input data, and quality criteria
  • Build business cases and quantitative analyses using SQL and analytical tools
  • Develop and apply evaluation criteria (evals) for AI agents prior to production
  • Continuously leverage state-of-the-art AI in day-to-day work and incorporate recent tools and techniques
  • Document business rules, data, and solutions for both people and AI agents
  • Own priority initiatives with autonomy and drive end-to-end deliveries in ambiguous contexts

Requirements

What you’ll need
  • 4–6 years in high-ambiguity environments with a strong focus on delivering results
  • Fluency in state-of-the-art AI, including agents, MCP, skills, prompts, and evals — mandatory requirement
  • Strong quantitative mindset and critical interpretation of metrics for decision-making
  • Proficiency in SQL for data extraction, analysis, and interpretation
  • Ability to model end-to-end business processes and flows
  • Experience building business cases for prioritization and data-driven decision support
  • Degree in a quantitative field, business, technology, or related area, with a record of excellence and strong structured reasoning
  • Previous experience at major business consultancies
  • Experience in Strategy & Consulting, including ERP (SAP or similar), change management, process mapping, strategic planning, and PMO
  • Postgraduate degree or specialization in data, AI, business, or related fields is a plus but not required
  • Hands-on experience with React, Node.js, TypeScript, Python, SQL, or Cloud (AWS, Azure, or GCP) is a plus
  • Experience in Data & Analytics, including Power BI, BigQuery, Airflow, predictive modeling, data lakes, KPIs, and funnel analysis is a plus
  • Product management or project management experience is a plus
  • Experience with formal process mapping is a plus
  • Experience acting as an interface between business and technology teams is a plus
  • Knowledge of data and analytics fundamentals, including pipelines, data modeling, and BI, is a plus
  • Familiarity with Jira, Linear, Notion, or Miro is a plus
  • Experience with prioritization frameworks such as RICE, ICE, or WSJF is a plus
  • Experience structuring and refining product or project requirements is a plus

Benefits

Comp & perks
  • iFood Benefits
  • Health plan
  • Dental care
  • Commuting/transportation support
  • Birthday day off
  • Bonus program
  • Benefits available for CLT (Brazilian employment) contracts