Full-stack Engineer

• lead our team in acquiring and processing high-volume data
• drive the evolution toward AI-augmented, spec-driven software development
• recruit, mentor, and lead a high-performing team of software engineers focused on data acquisition
• pioneer the adoption of AI-assisted software development across engineering teams
• establish and enforce a specification-first development methodology
• drive the migration to automated, metadata-driven, and declarative engineering architectures
• define and execute the technical roadmap for all data acquisition pipelines and systems
• provide authoritative technical direction on the design, development, and maintenance of data ingestion frameworks
• partner closely with Product Management, Data Science, Data Governance, and other engineering teams
• institute and champion continuous improvement in engineering processes, tools, and methodologies
• guarantee the high availability and performance of all data acquisition systems

Senior Manager, Software Engineering – Data Acquisition

Backend Engineer

• Collaborate with stakeholders to learn about our customers biggest challenges
• Measure, inspect, and drive decisions using data
• Design, test, code, and instrument new solutions
• Strengthen and drive our engineering process with TDD and BDD, Microservice and Vertical Slice Architectures
• Support live applications, promote proactive monitoring, rapid incident response, and continuous improvement
• Analyze existing systems and processes to identify bottlenecks and opportunities for improvements
• Mentor and learn from your peers, foster continuous learning within your team and organization
• Work closely with senior team members and your manager to review completed work
• Focus on continuous learning of new technologies

Mid .NET Developer

Machine Learning Engineer

• Lead the design, implementation, and production deployment of machine learning and AI-driven systems—including LLM-based and agentic applications
• Partner with AI platform and product engineering teams to integrate advanced AI capabilities into WEX’s enterprise systems
• Design and maintain ML pipelines, from data ingestion to model deployment, ensuring scalability, observability, and reusability across teams
• Build and expose AI functionality via RESTful APIs and micro-services architectures
• Champion engineering best practices: CI/CD, infrastructure-as-code, testing automation, and continuous improvement
• Contribute to architectural decisions with a focus on security, compliance, and performance—especially in regulated industries such as payments and healthcare
• Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to align technical solutions with strategic goals

Senior Staff AI/ML Engineer

Manager

• Oversee the global distribution and recovery of all end-user endpoints (7,500+ devices), ensuring employees receive hardware optimized for their specific personas for each use case (Onboardings/Offboardings, Refresh, Break/Fix, etc.)
• Manage the annual PC Refresh process, enforcing an optimized hardware lifecycle to maintain employee productivity and mitigate device failure risks.
• Manage and optimize the global vendor ecosystem for all end-user hardware, including strategic logistical partnerships and regional hardware vendors across North America, EMEA, and APAC.
• Manage regional telecommunications providers for mobile device procurement and inventory.
• Coordinate with international Managed Service Providers (MSPs) for printer support.
• Manage the procurement and approval process for non-standard requests, mobile device provisioning, and network printer/AV infrastructure deployments.
• Oversee the purchasing, distribution, and ongoing management of all "Specialty Licensed Software" (e.g., Adobe, Visual Studio, JetBrains).
• Drive cost-optimization by tracking usage and conducting manual and automated audits to reclaim, downgrade, or reallocate underutilized licenses.
• Enforce strict Configuration Management Database (CMDB) best practices, ensuring chain of custody by mandating real-time status updates.
• Coordinate regular physical inventory counts across all WEX office locations to maintain accurate stock visibility and prevent data staleness.
• Lead hardware demand forecasting, ordering, and comprehensive CapEx/OpEx financial management.
• Ensure all end-of-life and defective assets are collected and securely processed by certified IT Asset Disposition (ITAD) vendors, strictly adhering to NIST 800-88 standards and the Global Equipment Disposal Policy.
• Leverage the Nexthink platform to shift from reactive troubleshooting to proactive device management, tracking metrics like boot speeds, application crashes, and RAM utilization to improve WEX's overall DEX score.
• Expand "Shift-Left" capabilities by integrating automated software provisioning and remediation tools through Jira Service Management (JSM).

Manager, Workplace Technology Services

QA Engineer

• Conduct regular audits and reviews of operational processes within collections, debt recovery, and cash application to assess adherence to policies and procedures
• Monitor performance metrics and identify trends or anomalies that may indicate process gaps or potential risks
• Evaluate the effectiveness of training programs and provide feedback to management
• Mentor and develop junior QA team members, fostering their growth and expertise in the field
• Identify areas for improvement in operational processes and collaborate with relevant teams to implement corrective actions
• Develop and maintain documentation of policies, procedures, and best practices
• Stay abreast of industry regulations and internal policy updates to ensure ongoing compliance
• Analyze quality data to identify root causes of errors or inconsistencies and recommend solutions
• Prepare and present quality reports to management, highlighting key findings and recommendations

Quality Assurance Specialist II

Pricing Analyst

• Proactively identify and embrace opportunities to integrate AI and automation technologies into operational processes
• Responding to requests from stakeholders with appropriate urgency
• Management of maintenance requests including adjustments, setups, etc.
• Seeking and implementing opportunities for efficiency and process improvement
• Ensure compliance with established internal controls
• Management of pricing reporting, inclusive of audit and other auxiliary reporting
• Manage and successfully execute against projects specific to Pricing

Pricing Specialist II

Marketing

• Oversee marketing campaigns and projects from conception to completion, ensuring timely delivery, adherence to deadlines, and stakeholder alignment.
• Manage multiple projects and priorities to successfully deliver on growth objectives while proactively resolving any issues to remain on-budget.
• Support key initiatives to drive ROI across full-funnel acquisition, engagement, and cross-sell initiatives.
• Collaborate on annual comprehensive marketing plans tied to both internal revenue goals and partner goals.
• Implement marketing strategies by developing and executing tactical plans for energy partner fleet card portfolios.
• Support the sales team lead generation process through prospect list targeting and qualification strategies.
• Process data and determine recommendations to optimize campaign performance.

Revenue Marketing Coordinator

• Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services.
• Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication.
• Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
• Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests.
• Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements.
• Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market.
• Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
• Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices.
• Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
• Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
• Maintain robust documentation (design docs, run books, change management docs, and readiness plans).
• Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.
• Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress.

Staff Backend Engineer – AI, Agentic Systems

AI Engineer

• Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services.
• Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication.
• Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
• Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests.
• Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements.
• Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market.
• Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
• Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices.
• Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
• Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
• Maintain robust documentation (design docs, run books, change management docs, and readiness plans).
• Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.
• Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress.
• Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms.
• Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities.
• Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems.
• Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources.
• Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency.
• Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems.
• Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness.

Software Engineer 2 – AI Platform

DevOps Engineer

• Define, publish, and enforce enterprise-wide SRE best practices and operational standards
• Define and lead WEX’s AI-Powered Reliability Engineering strategy
• Architect and oversee the implementation of mission-critical systems
• Establish and govern SLO, SLI, and error budget frameworks across LOBs
• Own the production readiness review process
• Serve as the primary technical advisor to engineering leadership

SRE Architect, AI-Powered Reliability

Product Manager

• Define and execute a long-term (5-year) identity and access strategy across all WEX lines of business
• Lead the development of a unified identity platform enabling single sign-on and a single customer profile
• Drive enterprise-wide identity initiatives spanning consumer identity, enterprise access management, and identity verification
• Partner with product, engineering, security, and business leaders to align on identity roadmap and execution
• Ensure successful migration and adoption of identity solutions across multiple product lines
• Balance trade-offs between security, user experience, and delivery timelines
• Lead roadmap execution for identity APIs, SDKs, and platform capabilities
• Stay current on industry trends including biometric authentication, decentralized identity, and privacy regulations (e.g., GDPR, CCPA)
• Influence senior stakeholders and drive alignment without direct authority
• Identify risks, dependencies, and blockers across complex enterprise initiatives

Lead Product Manager, Identity Platform

Security Engineer

• define vision, strategy, and provide technical leadership for AI security
• design resilient security architectures protecting global assets
• collaborate with executive leadership and cross-functional teams
• ensure secure software development and regulatory alignment
• mentor engineering teams in secure implementation of generative AI

Senior Enterprise AI Security Architect

• Lead the design and governance of frameworks that enable sales teams to move with speed and precision.
• Author and implement the global 'Playbook' for the Deal Desk, establishing rigorous Standard Operating Procedures (SOPs).
• Architect and refine pricing and discounting governance, balancing sales agility with corporate risk management.
• Develop sophisticated frameworks for enterprise deals, ensuring long-term viability and operational scalability.
• Synthesize win/loss data to provide GMs with strategic insights.
• Serve as a primary commercial consultant to the Senior Leadership Team and GMs.
• Act as a formal mentor and coach to team members across the Revenue Operations organization.
• Oversee the daily adjudication of the deal queue, ensuring timely pricing approvals.

Deal Desk Manager

Account Executive

• Serve as the primary post-sale point of contact and strategic advisor for assigned client accounts
• Build deep, long-term relationships based on trust, transparency, and shared goals
• Develop a comprehensive understanding of each client’s business, KPIs, and growth strategies
• Champion client success through regular touchpoints, planning sessions, and business reviews
• Take full ownership of account growth and retention, directly contributing to increased ARR for WEX
• Identify and close upsell and cross-sell opportunities by aligning WEX capabilities to emerging client needs
• Lead the renewal process, ensuring timely execution and clear demonstration of value
• Use strategic planning and quarterly business reviews to showcase ROI and build expansion roadmaps
• Guide clients through best practices and advanced product features to maximize value
• Develop enablement plans that support customer-specific business outcomes
• Drive consistent product utilization to ensure adoption and prevent churn
• Act as the single point of accountability for issue resolution and client satisfaction
• Coordinate with internal teams (Sales, Product, Engineering, Support, etc.) to resolve concerns quickly and completely
• Maintain accurate records of client status, activity, and opportunities
• Monitor and report on success metrics such as satisfaction, renewal rate, and revenue expansion
• Continuously contribute to the evolution of customer success strategies, playbooks, and best practices

Account Executive – Mid-Market

• Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors.
• Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.
• Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.
• Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units.
• Ensure traceability, lineage, and security through integration with control plane and governance systems.