Jobs at arrivia

The Senior Accountant manages general ledger and revenue accounting, journal entries, reconciliations, monthly close activities, variance analysis, audit and tax support, internal controls, and process improvements. The role also contributes to system implementations, financial reporting, and team collaboration while maintaining compliance with U.S. GAAP.

Accounting Manager responsible for owning monthly, quarterly, and annual close processes in a complex, multi-entity travel business. The role oversees GAAP compliance, intercompany accounting, ASC 842 leases, capex, revenue share, reconciliations, audits, and financial reporting. It also leads and develops accounting staff, improves processes, supports system implementations, and drives automation and scalability across the accounting function.

Prepare journal entries, reconcile balance sheet accounts, support monthly close, and own accounting for a revenue stream. Assist with audits and tax requests, analyze P&L variances, improve processes and controls, support accounting system projects, and contribute to standardized procedures and team coverage.

Lead monthly, quarterly, and annual close processes for a complex multi-entity organization. Review journal entries, reconciliations, and supporting schedules; oversee intercompany, revenue share, capital expenditure, accrual, expense, and lease accounting. Support financial reporting and audits, maintain U.S. GAAP compliance, strengthen controls, improve accounting processes, and participate in systems automation. Manage and develop senior and staff accountants while ensuring accurate, timely reporting.

Own the business development operating engine, including HubSpot administration, pipeline accuracy, forecasting, executive reporting, conference strategy and logistics, proposals, RFPs, partner research, and deal support. The role also develops targeted partner conversations, represents the company with senior executives, and contributes to growth outcomes. It requires independent execution, strong writing and presentation skills, executive presence, and regular travel to industry conferences.

Own email, lifecycle, product, and promotional marketing programs for travel loyalty members. Build and optimize automated campaigns in Marketo and the CMS, manage member journeys, segment audiences, personalize messaging, and analyze performance. Conduct testing, improve campaign results, use AI-enabled marketing tools, and collaborate cross-functionally with sales and operations. The role requires hands-on email execution, fast turnaround, strong analytical judgment, and four days onsite weekly in Scottsdale.

Lead marketing effectiveness, experimentation, causal inference, predictive modeling, attribution, funnel measurement, and customer analytics. Build production-quality datasets, features, and models; assess data quality and instrumentation; communicate uncertainty and recommendations to executives; and coach analysts on reproducible, responsible methods. The role influences marketing investment, customer targeting, revenue, and enterprise priorities across travel, finance, operations, and customer experience.

Generate new business through high-volume outbound calls, qualify leads for travel packages, present products, overcome objections, close sales, meet quotas, and build strong customer relationships. The role is remote and requires at least three years of outbound sales experience, strong phone communication, persuasion, listening skills, and a proven record of meeting or exceeding sales targets.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes and optimizes DAX, applies security controls, validates data quality, and creates certified datasets and reusable templates. Partners with stakeholders to define reporting requirements, presents insights, participates in peer reviews, and uses AI tools to improve analysis and delivery.

Designs and optimizes enterprise data pipelines within Microsoft Fabric, including lakehouse and warehouse architectures, real-time ingestion, cloud migration, governance, CI/CD, and reporting layers. The role uses PySpark, Spark SQL, T-SQL, AI tooling, vector search, and RAG patterns while ensuring performance, reliability, and SLA compliance. Responsibilities also include mentoring junior engineers, leading technical standards, and collaborating with analysts, data scientists, and stakeholders.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Translate business requirements into data models, visualizations, and DAX measures; apply security and governance standards; validate data quality; create certified datasets and reusable templates; and collaborate with stakeholders to turn reporting insights into business decisions. The role also requires using AI tools and supporting peer reviews and self-service analytics.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security governance, stakeholder requirements gathering, self-service dataset creation, and presenting insights. The role also requires collaboration across teams and use of AI tools to improve analysis and delivery.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security implementation, stakeholder requirement gathering, certified dataset creation, and cross-team presentation of insights. The role also requires using AI tools, supporting self-service analytics, and collaborating on peer reviews and data-quality initiatives.

Leads enterprise operations across global sites and contact centers, overseeing BPO strategy, workforce management, training infrastructure, operational excellence, automation, governance, risk continuity, and centralized capabilities. Partners with business-line and functional leaders to establish shared standards, improve capacity and resilience, manage vendors, and scale consistent operating practices across domestic, nearshore, and offshore locations.

Own complex, multi-team technical programs from inception through sustained operation. Partner with engineering leadership on architecture, integrations, dependencies, requirements, delivery forecasting, and operational excellence. Use AI copilots, automation, and analytics to improve planning, backlog refinement, reporting, risk identification, stakeholder communication, and retrospectives. Mentor TPMs on AI-augmented workflows while maintaining appropriate human oversight.

Build production full-stack features and quality infrastructure for AI-generated code, including automated testing, evaluation frameworks, CI/CD quality gates, observability, release criteria, and security guardrails. Use AI coding agents while validating correctness, performance, maintainability, and privacy. Develop scalable services for travel and rewards platforms, protect member trust, and promote AI-assisted engineering quality practices across teams.

Lead technical direction for AI infrastructure, data platforms, shared software primitives, and agentic engineering practices. Build scalable, cloud-native services and secure MCP integrations while establishing AI quality gates, evaluation frameworks, responsible-AI controls, SLOs, and architectural standards. Guide modernization, build-versus-buy decisions, and high-stakes platform choices. Mentor senior engineers and influence technical norms across teams while balancing product delivery, partner needs, member trust, security, and operational quality.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead technical direction for AI infrastructure, data platforms, shared services, and agentic engineering practices while remaining hands-on. Architect secure MCP integrations, establish AI quality gates, evaluation frameworks, SLOs, and responsible-AI standards. Guide build-versus-buy decisions, modernize legacy systems, improve cloud-native scalability, and safeguard sensitive member data. Mentor senior engineers and communicate complex architecture and AI concepts to executives and cross-functional partners.

Lead technical projects by translating product priorities into actionable requirements and delivery plans. Coordinate engineering, product, and stakeholders to manage scope, timelines, budgets, risks, and reporting. Promote Agile practices, manage third-party resources, resolve conflicts, and drive continuous improvement to deliver moderate-to-complex software solutions.