Backend 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.

Senior Backend Engineer – AI Platform

Product Marketing

• Ensure product launches drive revenue — not shelfware
• Shift roadmap conversations from reactive feature development to market-informed strategy
• Elevate sales enablement from asset production to revenue acceleration
• Establish Product Marketing as a trusted strategic partner to Product and Sales leadership
• Own positioning, segmentation, and go-to-market strategy across Fuel, EV, Telematics, and OTR
• Ensure launches translate into measurable business outcomes, including pipeline creation, win-rate improvement, adoption acceleration, and retention impact
• Establish post-launch performance reviews and revenue accountability loops
• Identify whitespace and growth opportunities across segments
• Serve as the voice of the market in roadmap planning and investment discussions
• Introduce structured validation processes grounded in customer insight, usage data, and competitive intelligence
• Influence pricing, packaging, and portfolio tradeoffs to align with revenue strategy
• Partner with Sales leadership to define stage-specific enablement that improves deal velocity and close rates
• Shift the organization from reactive one-pager production to disciplined, outcome-driven sales motions
• Ensure sellers are equipped with differentiated narratives that resonate across segments
• Establish launch tiering, prioritization, and resource allocation frameworks to focus on highest-impact initiatives
• Define clear engagement models with Product, Sales, Marketing, and CX
• Build scalable processes that increase speed-to-market while maintaining strategic rigor
• Build and develop a high-performing PMM team capable of operating as strategic advisors
• Coach PMMs to deepen business acumen, executive presence, and cross-functional influence
• Foster a culture of accountability, insight-driven thinking, and ownership

Director, Product Marketing – Mobility, OTR

Frontend Engineer

• Design, develop, and maintain robust, scalable, and high-performance web applications
• Build and evolve shared component libraries and design-system assets used across multiple Mobility applications
• Develop systems designs, and drive alignment across teams
• Implement comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing
• Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements
• Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market
• Partner with Product, Design, and UX to deliver high-quality user experiences
• Conduct code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar
• Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability
• Maintain robust documentation (design docs, run books, change management docs, and readiness plans)
• Provide live-site production support, 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
• Gain hands-on experience with automation and AI-driven engineering solutions

Senior Frontend Engineer, Angular

Accounting Manager

• Verifying and posting routine and complex payments received from customers
• Processing adjustments, write-offs, and refunds
• Reconciling payment discrepancies
• Supporting the Team Leader with processes and procedures
• Performing periodic training of other AR Specialists
• Monitoring shared inboxes to research inquiries

Accounting Support

Full-stack Engineer

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets
• Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets
• Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development
• Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling
• Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage
• Help define and enforce standards for data modeling, documentation, and governance within the semantic layer

Staff Software Engineer – Semantic Data Team

Data Scientist

• Partner with stakeholders to understand credit risk management requirements and translate them into data-driven solutions to measure and monitor credit risk across the firm’s products and services.
• Proactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product.
• Leverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions.
• Develop and review code and automated processes to extract credit risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators.
• Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.
• Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.

Senior Fraud Data Scientist

NLP Engineer

• Apply your deep technical expertise to solve complex, real-world problems.
• Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
• Apply your research skills to design, code, and test novel AI/ML solutions.
• Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
• Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
• Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
• Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

PhD Intern – AI/ML/NLP Engineer

Sales

• lead and coach a team of Territory Sales Managers
• drive new customer acquisition and revenue growth within the HVAC, Plumbing, and Electrical contractor segments
• execute the sales strategy, ensuring your team meets regional targets
• conduct regular 1-on-1s, pipeline inspections, and territory optimization sessions
• own the team’s sales targets
• implement repeatable, data-backed sales motions
• collaborate with Product, Marketing, and Customer Success

Regional Sales Manager

Product Manager

• Own and execute the product roadmap for the Client Hub onboarding platform.
• Lead the development of AI-powered and agentic onboarding capabilities that improve customer implementation experiences.
• Drive customer time-to-value by simplifying onboarding workflows and reducing operational friction.
• Partner with Engineering, Risk & Compliance, Sales, Implementation, Design, and Developer Experience teams to deliver scalable solutions.
• Leverage AI tools and workflows to accelerate product discovery, prototyping, delivery, and experimentation.
• Define product requirements, success metrics, and roadmap priorities based on customer needs and business objectives.
• Lead cross-functional teams through ambiguity and influence stakeholders without direct authority.
• Analyze customer, operational, and business data to identify opportunities for platform optimization and growth.
• Balance customer experience, scalability, operational efficiency, and commercial impact in product decisions.
• Contribute to long-term platform strategy and future onboarding experience innovation.

Senior Product Manager, Onboarding Experience

Account Manager

• Own the operational performance of the 10-4 platform
• Lead onboarding and activation of new merchant partners
• Monitor merchant-level performance and drive improvements
• Act as operational contact for product performance
• Translate operational insights into product strategy

Product and Merchant Operations Account Manager

Operations

• Process internal bank transfers and wires accurately.
• Reconcile depository and intermediary bank accounts.
• Facilitate money movements for HSA contributions and distributions.
• Facilitate money movements for consumer investment transactions.
• Coordinate and facilitate sub-custodian processing for financial institutions.
• Manage Contribution Exception processing from partner notification through resolution.
• Provide input and support in streamlining processes within the HSA Custodian Operations.
• Contribute to the development and maintenance of procedures related to HSA Custodian Operations.
• Maintain positive vendor relationships to ensure smooth operational processes.
• Collect and validate data from various internal and external sources to ensure the accuracy and completeness of HSA transactional records.
• Perform routine analysis to support key operational functions, including daily account reconciliations, exception management, and the investigation of discrepancies.
• Generate and distribute reports to monitor operational metrics, track service level agreements (SLAs), and provide leadership with insights into transaction volumes and trends.
• Leverage data to identify opportunities for process automation, risk mitigation, and operational efficiency improvements.
• Identify and escalate potential risks or control gaps in operational processes.
• Investigate and resolve transaction discrepancies and errors in a timely manner, documenting the resolution process.
• Respond to consumer and partner inquiries related to HSA Custodian processing such as tax reporting, unclaimed property, and contribution processing within service level agreement while demonstrating best-in-class customer service.
• Support internal teams and report on external service level agreements.
• Proactively identify and embrace opportunities to integrate AI and automation technologies into operational processes.

Custodial Operations Analyst

Risk

• Analyzes risk to business activities and operations
• Identifies areas of potential loss or damage for current and proposed business and financial operations
• Supports organizational processes and programs for mitigation of financial risk
• Facilitate a recurring operational process to ensure user access entitlements are attested to by management
• Gather necessary application entitlement data to support the access attestation process
• Create, and maintain team process documentation to ensure it is current
• Peer review team’s work and identify opportunities for improvement
• Work to continuously improve the team’s processes through automation of manual efforts
• Ensure audit requests for evidence related to identity management are completed on time
• Gather business and technical requirements from IT and business stakeholders related to identity and access management
• Facilitate and lead meetings as necessary
• Provide guidance to business and technology control and application owners on access management best practices.

Risk Analyst

Staff Software Engineer, AI – Backend

• Design, develop, and implement scalable and reliable software solutions using Kafka, ElasticSearch, and other modern technologies
• Contribute to the long-term architecture and design of our cloud-native infrastructure
• Write clean, maintainable, and well-documented code
• Participate in code reviews and collaborate with other team members to ensure high code quality
• Troubleshoot and resolve issues in a timely and efficient manner
• Demonstrate strong ownership and ability to collaborate with stakeholders and exercise technical influence across partner teams

Staff Software Engineer

Human Resources

• Counsel and provide assistance to employees and management in employee issues
• Assist managers with addressing performance concerns
• Collect, prepare and analyze Employee Relations data
• Work on continuous improvement initiatives and special projects
• Conduct investigations regarding policy violations
• Make recommendations on actions to be taken following investigations
• Assist in development and roll out of HR policies and procedures
• Monitor employee engagement and make recommendations for improving morale
• Manage relations with local labor unions
• Provide written and oral advice to management regarding compliance topics
• Lead and develop a psych safety culture
• Effectively manage investigations regarding discrimination, harassment & bullying complaints
• Support other regions as needed