Sr. ARI Specialist-LATAM

About Engine

At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented - we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we build a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.

As a Sr. ARI Specialist, you'll own the technical execution of rate loading and rate management across our supply portfolio. You'll start by anchoring rate-related tickets in our ARI Intake board — owning them end-to-end — and grow into one of the team's go-to analysts for complex reporting, root-cause investigation, and proactive monitoring of rate quality and coverage.

• Own rate loading inquiries and tickets piped into the ARI Intake board, from triage through resolution — driving accuracy, turnaround time, and stakeholder communication across every request.
• Investigate, diagnose, and resolve complex rate discrepancies across our supply systems, including GDS-sourced rates and direct-loaded property content.
• Write and maintain SQL queries against our data warehouse to validate rate accuracy, surface gaps in coverage, and answer ad-hoc questions from Sales, Partnerships, and Supply leadership.
• Build Python scripts and automations to streamline repeatable rate-loading and audit workflows — reducing manual effort and improving consistency.
• Maintain and extend Salesforce-based reporting and workflows used to track partner rate programs, requests, and lifecycle.
• Develop weekly and monthly dashboards covering rate quality, coverage, and operational performance against SLAs.
• Partner with Sales, Account Management, and Supply leadership to translate rate signals into action — flagging risks, recommending interventions, and helping prioritize engineering and partner outreach.
• Build and own SOPs and process documentation as rate operations scale.
• Identify automation and process-improvement opportunities and lead them to completion in partnership with Engineering and Data.

In your first 3-6 months you'll:

• Take full ownership of rate-related ARI Intake — meeting or beating SLA on triage and resolution.
• Stand up a recurring rate-quality and coverage report that gives the team visibility we don't have today.
• Ship at least one automation (SQL Python) that materially reduces time on a repeatable rate workflow.

• Rate-related ARI tickets triaged and resolved within SLA.
• Reduction in time-on-task across rate-loading workflows through iterative automation.

• Quality and coverage of rate monitoring across the supply portfolio.
• Stakeholder satisfaction with rate-related reporting and analysis.

• Quality and coverage of ARI / rate operations SOPs and process mapping.

• 3 years in a technical operations, business analyst, or analytics role — preferably with exposure to rate management, pricing operations, or inventory operations.
• Strong working proficiency in SQL — you can independently write queries against a modern warehouse (Snowflake, Redshift, Big Query) to investigate and validate data.
• Hands‑on experience with Salesforce — reports, dashboards, and ideally light flow / object configuration.
• Python proficiency — comfortable writing scripts to manipulate data, hit APIs, and automate repeatable workflows. (You don't need to be a software engineer, but you write real, reusable code.)
• Strong analytical instincts paired with a driver, not passenger ownership mentality.
• Excellent written and spoken English, with the communication chops to work cleanly across U.S.
  
  -based Sales, Supply, and Engineering teams.
• Comfortable operating remotely and managing your own throughput in a fast-moving environment.

• Experience managing rates in a GDS (Amadeus and/or Sabre) — a big plus for this role.
• Prior experience in travel, hospitality, or another rate / inventory-driven industry (OTA, hotel chain, TMC, airline).
• Exposure to Looker (or comparable BI…