Progressive Leasing

Risk

• Contribute to the design, development, and continuous improvement of the Enterprise Risk Management program, ensuring risks are effectively identified, measured, monitored, and mitigated across business activities.
• Execute and enhance core risk management processes, including Risk & Control Self-Assessments (RCSA), Issue Management, and related ERM activities.
• Maintain and evolve risk governance frameworks, policies, and supporting documentation in alignment with regulatory expectations and industry best practices.
• Support and enhance the Third-Party Risk Management program, including vendor risk assessments, due diligence, and ongoing monitoring.
• Monitor third-party performance and risk indicators, escalating issues and coordinating remediation efforts as needed.
• Provide education, guidance, and robust challenge to stakeholders on risk, controls, and mitigation strategies.
• Partner with cross-functional teams by offering insight and advice on enterprise risk and control matters.

Enterprise Risk Manager

Procurement

• Serve as the back-up for the AP Manager which may include directing the work of the AP team
• Accurately collect, independently validate and meticulously maintain supplier/vendor information in all of the company's systems, including contact information, proof of existence, address, method of payment, banking information, insurance certificate, supplier/vendor agreement, and tax details (e.g. W-9 forms), following internal SOX controls
• Perform TIN matching to verify supplier/vendor tax identification numbers
• Timely (in accordance with Accounts Payable SLAs) respond to internal or external supplier/vendor servicing requests/inquiries in a professional and customer service-oriented manner. Responses are expected to be complete and eliminate the need for follow-up.
• Manage internal and external supplier/vendor relationships
• Quickly resolve supplier/vendor payments issues and discrepancies
• Reconcile accounts payable subledger and supplier/vendor statements at least monthly
• Generate reports on supplier/vendor data, including active supplier/vendor count, spending trends and compliance status
• Perform regular data cleansing activities to ensure supplier/vendor information is accurate and up to date
• Comply with all company and Accounts Payable policies and procedures, including SOX internal controls, segregation of duties, etc.
• Support internal and external audits as necessary
• Assist with year-end 1099 processing
• Identify and implement process improvements and automation opportunities in AP, which may include partnering with Treasury and Merchandising
• Perform ad hoc analysis or duties assigned by the AP manager
• Process expense reports and execute payment runs
• Maintain and enforce AP policies, procedures and internal controls

Accounts Payable Lead

• Build, maintain, and improve decision systems and predictive models that are key to Purchasing Power's competitive advantage
• Explore new data sources both internal and external to Purchasing Power and use findings to further improve model performance
• Design, implement, and read in-market experiments testing new algorithms, technologies, and processes
• Prototype solutions to business problems using cutting-edge technologies
• Use AI-enabled tools throughout your workflows
• Recommend and support strategic changes through rigorous analytics and creative problem solving
• Identify, evaluate, and help implement advanced analytics methods
• Be part of a collegial team of like-minded data scientists

Data Scientist – Purchasing Power

Marketing Operations

• Develop and implement operational processes that support B2B marketing efforts.
• Implement scalable solutions to improve workflow and productivity and identify opportunities to enhance performance dashboards to measure operational effectiveness.
• Own and manage all marketing automation platforms.
• Support campaign builds, QA, and deployment across channels (email, paid media, webinars, events, etc.).
• Develop scalable workflows for lead nurturing and segmentation.
• Partner with team members on demand generation, events, and content efforts to ensure operational excellence.
• Monitor funnel performance and identify optimization opportunities.
• Track performance of campaigns and assets so we know what’s landing well, where we’re seeing engagement, and what needs to evolve.
• Use AI‑assisted tools to streamline content development, improve workflow efficiency, and help the team work smarter across campaigns.
• Support foundational marketing operations needs — simple list pulls, segmentation, basic performance reporting, and helping ensure data consistency across employer outreach.
• Represent the company at marketing tradeshows, industry conferences, and client events to support lead generation and brand visibility.
• Work with Sales Operations to improve pipeline visibility and conversion and ensure information flows correctly through Salesforce and Marketo as our B2B tools mature.
• Assist in building and scaling our B2B marketing processes — helping document workflows, maintain consistency, and introduce automation as tools expand.
• Coordinate with vendors or external creative partners when needed to support the production of prospect and employer‑facing materials.
• Provide basic budget awareness (what’s driving value, what’s being used, where materials are most effective) to help Marketing prioritize resources.

Marketing Ops

Marketing Ops Manager

Data Engineer

• Data Pipeline Development: Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies
• Implement ingestion pipelines using Kafka Connect and CDC patterns
• Build transformation and enrichment processes using Spark and PySpark
• Ensure reliable data delivery to downstream platforms
• Streaming Platform Support: Support Kafka topic configuration, partitioning strategies, and consumer group management
• Troubleshoot streaming pipeline issues and optimize performance
• Help maintain data integrity and reliability across distributed systems
• Data Processing & Transformation: Implement business logic and transformations within Spark processing frameworks
• Develop and maintain Airflow DAGs (or equivalent orchestration workflows)
• Ensure data quality through validation, monitoring, and alerting practices
• Platform Operations: Monitor pipeline performance, failures, and data latency
• Assist with observability and monitoring using tools such as Elastic and Kibana
• Support incident resolution and root‑cause analysis for data pipeline issues

Data Engineer – Purchasing Power

• Support the end-to-end procurement cycle, including sourcing, ticket management, and purchasing activities
• Manage supplier onboarding and offboarding, contract tracking, and related documentation
• Ensure procurement activities comply with internal policies and audit requirements
• Maintain accurate procurement records and supporting documentation
• Conduct spend analysis to identify cost-saving and efficiency opportunities
• Build, maintain, and enhance reports and dashboards to improve spend and process visibility
• Support data-driven insights and continuous process improvements
• Support and maintain procurement systems and tools
• Assist with workflow configuration, testing, and documentation of system changes
• Help implement and drive adoption of process and system improvements across teams
• Create and maintain SOPs and internal documentation
• Partner with Finance, Legal, and business teams to gather requirements and support procurement initiatives
• Provide onboarding, training, and ongoing support for procurement system users
• Act as a point of contact for resolving day-to-day process and system issues

Procurement Analyst

Account Manager

• Establish and maintain relationships with retailers and their leadership, to drive margin and improve the store’s operational efficiency
• Focus on results while building strong relationships through virtual trainings, and virtual 1:1 meeting’s
• Utilize hardware and software to enhance accountability and performance efficiencies
• Take part in changing the landscape of the rapidly growing virtual lease-to-own (“LTO”) market
• Bring your sales experience, strategies and ideas as you embark upon our journey of revolutionizing the world of consumer finance
• Work in a fun, fast-paced, entrepreneurial environment where you will make a difference for the customers we serve
• Travel maybe required (up to 10%)

Account Manager, Wireless

AI Engineer

• Spend the majority of your time embedded with engineering teams — working alongside developers to stand up AI coding tools, establish platform standards, and introduce agentic workflows into their daily delivery process
• Run hands-on enablement programs including workshops, lunch-and-learns, one-on-one coaching sessions, and team-level onboarding for AI development tools like Claude Code and GitHub Copilot
• Assess team-level AI readiness across the 350+ person technology organization — identifying gaps in documentation, coding standards, context files, and workflow design that limit AI effectiveness
• Prescribe and deliver targeted interventions that help teams get more value from the agentic platform — from CLAUDE.md setup and prompt engineering to agentic workflow configuration and best practice adoption
• Collect structured feedback from every team you serve and translate it into actionable requirements and adoption signal for the platform team’s backlog
• Produce playbooks, best practice guides, and enablement materials that help engineering teams integrate AI tools into their existing Git, Jira, Confluence, and GitHub Actions workflows without disrupting delivery
• Define and track adoption indicators across teams — measuring what’s working, what’s stuck, and what needs adjustment — and present clear signal to platform leadership on enablement progress
• Serve as the connective tissue between the platform team’s capabilities and the engineering organization that depends on them — equal parts technologist, coach, and internal consultant

AI Platform Enablement Lead – Engineering & Adoption

• Lead, develop and mentor strategic Site Analytics team initiatives to generate actionable recommendations that drive business performance and profitability, fostering a culture of excellence.
• Serve as the internal subject matter expert for all Customer Journey Analytics efforts, supporting both foundational analytics and growth-focused activities to meet evolving industry best practices.
• Manage relationships with key analytics partners, including Adobe, FullStory, and external analytics agencies, driving full utilization of market-leading tools to generate actionable insights and business impact.
• Oversee comprehensive eCommerce conversion analysis and reporting, informing decisions on site navigation, promotions, and content optimization to meet conversion, demand and revenue goals.
• Oversee site personalization and product recommendations initiatives to deliver relevant experiences and drive revenue growth.
• Collaborate with internal teams to integrate data across platforms and automate reporting processes, reflecting the market’s emphasis on AI, operational efficiency and scalable analytics.
• Direct website tagging, third-party pixel implementation, ad hoc data analysis, and site optimization activities to ensure accurate measurement and compliance.
• Develop and manage testing strategies to enhance site performance and inform recommendations for web business growth, in line with market requirements for continuous improvement.
• Monitor and analyze KPIs to understand user behavior, assess performance, and provide feedback for ongoing optimization, supporting the market’s focus on data-driven customer experience enhancements.
• Identify and address traffic trends by channel, site abandonment issues, and conversion opportunities, ensuring alignment with industry benchmarks for e-commerce performance.
• Stay current with emerging trends and best practices in customer measurement strategies, maintaining a competitive edge in the marketplace.

Director, Customer Journey Analytics – Testing

Full-stack Engineer

• Own the technical foundation that makes AI agents capable of taking meaningful action across Progressive Leasing’s systems and codebases — building the integration infrastructure, MCP server connections, and platform tooling that the broader AI Enablement Team depends on
• Build and maintain MCP (Model Context Protocol) servers that expose internal systems — Jira, Confluence, GitHub, ServiceNow, and others — as agent-accessible tools with well-defined interfaces, resource exposure, and governance controls
• Develop full stack platform features using TypeScript/Node.js on the backend and React on the frontend, delivering production-grade tooling that engineering teams across the organization rely on daily
• Design and build API integrations that give AI coding agents like Claude Code and GitHub Copilot secure, structured access to the systems they need to produce reliable, standards-compliant output
• Construct and maintain CI/CD pipelines and GitHub Actions that automate AI review gates, context validation, and deployment workflows as part of the FastPassAI platform
• Author and maintain structured context documentation — CLAUDE.md files, ADRs, architecture docs, and STANDARDS.md — that enables AI agents to produce high-quality, contextually aware output at scale
• Implement agentic workflow patterns including multi-step reasoning, tool use, human-in-the-loop checkpoints, and failure handling across the platform’s Sidekick agent infrastructure
• Serve as a force multiplier for every engineering team the AI Enablement Team supports — the infrastructure you build is the foundation that makes agentic development possible across the entire organization

Full Stack Engineer – Agentic Platform, MCP Integrations

Security Engineer

• Provide technical leadership and mentorship to a team of cybersecurity engineers to help safeguard the PROG enterprise.
• Oversee the deployment, integration, and maintenance of cybersecurity systems per best practices and business needs.
• Optimize systems to handle growth, stay operational, and perform consistently without disruption.
• Build systems documentation and transition systems to operational support teams.
• Partner with Governance, Risk & Compliance (GRC), Identity & Access Management (IAM), Application Security, and Security Operations teams to explore opportunities for continued integration, process improvement, and systems automation.
• Collaborate with external stakeholders in IT, legal, and other business teams to establish alignment on deliverables and goals.
• Build and Maintain systems inventory & technology lifecycle.
• Work with cybersecurity architects to build and maintain the cybersecurity technology roadmap.
• Establishing/Maintaining the strategy, workplan, and financial forecasting for the cybersecurity engineering organization.
• Build and maintain relationships with OEMs and partners of cybersecurity technologies.
• Stay updated with the latest threats and technological advancements in cybersecurity.

Lead, Cyber Security Engineer

Marketing

• Own Four’s marketing strategy across acquisition, retention, brand, and revenue growth
• Define target audiences, customer segments, and lifecycle journeys using behavioral and performance data
• Set and manage marketing budgets, forecasting spend against acquisition targets and ROAS goals
• Develop and maintain a marketing roadmap aligned with company priorities
• Partner with cross‑functional leaders to translate business objectives into measurable marketing initiatives
• Own Four’s presence in AI‑powered discovery so that when consumers ask LLMs about BNPL options, Four is the first and best answer
• Plan, execute, and optimize paid campaigns across Meta, Google, TikTok, Apple Search Ads, and emerging channels
• Build and manage AI‑driven workflows for bidding, targeting, and creative optimization
• Own attribution modeling and marketing analytics to understand performance drivers
• Monitor and improve key metrics including CAC, ROAS, conversion rates, and funnel efficiency
• Test new channels and tactics aggressively, scaling what works and cutting what does not
• Create compelling content across social, video, email, landing pages, app store assets, and more
• Build and maintain Four’s brand voice and visual identity across all touchpoints
• Design content strategies that enable rapid learning, iteration, and sustained relevance
• Manage social media presence with a focus on engagement and community building
• Produce content that resonates with shoppers seeking a smarter, more transparent way to pay
• Architect AI agent workflows that automate content creation, campaign management, audience segmentation, reporting, and competitive intelligence
• Use and extend Four’s internal AI operating system to capture marketing knowledge and performance insights
• Build dashboards and automated reporting for real‑time visibility into results
• Evaluate and adopt emerging AI marketing tools and platforms
• Document workflows and learnings so the marketing system compounds over time
• Partner closely with Compliance and Legal to ensure all marketing activities meet regulatory requirements
• Understand the regulatory landscape for BNPL and consumer financial products
• Embed compliance review directly into marketing workflows
• Maintain auditable records of marketing approvals and reviews

Marketing Engineer – FOUR

Software Engineer

• Design, build, and deploy AI agents that solve real business problems across Progressive Leasing using Microsoft Copilot Studio, Power Platform, and related tools
• Take business use cases from whiteboard to working agent — owning conversation design, topic authoring, action integration, and end-to-end delivery without heavy technical oversight
• Build and maintain integrations between AI agents and enterprise systems via APIs, connectors, and webhooks — including CRMs, ITSM platforms like ServiceNow, and internal data sources
• Develop custom connectors and Power Automate flows that give agents secure, reliable access to the data and services they need to be useful
• Leverage Microsoft Graph API to connect agents with organizational data and M365 services, enabling richer and more context-aware agent behavior
• Implement authentication and authorization patterns for enterprise agent integrations — including OAuth, service accounts, and managed identities
• Engineer prompt configurations, system prompts, grounding strategies, and fallback behaviors that make agents reliable, accurate, and safe in production
• Document agent architecture, data flows, and integration points clearly for security review, handoff, and ongoing maintenance
• Partner closely with the AI Product Manager to receive prioritized use cases and deliver working agents that meet business requirements and adoption goals

AI Agent Developer – Business Platforms

Product Manager

• Architect, design, and develop proof-of-concepts and early-stage production systems leveraging LLMs, agentic workflows, vector databases, and emerging AI
• Own the AI tool portfolio for business units — managing licensing, vendor relationships, renewal cycles, and feature roadmap engagement for Microsoft Copilot, Copilot Studio, and Power Platform
• Partner directly with business unit leaders to identify, evaluate, and prioritize AI agent use cases that deliver measurable operational value
• Translate ambiguous business needs into structured requirements, user stories, and actionable backlogs that the technical enablement team can execute against
• Own the intake and triage process between business stakeholders and the AI Agent Developer, ensuring work is scoped, prioritized, and sequenced for maximum impact
• Design and deliver AI adoption programs — including training curricula, best practice guides, and change management plans — that drive sustained usage across business teams
• Define and track adoption metrics, usage analytics, and outcome-based KPIs for every AI tool in the portfolio, and use that data to make prioritization decisions
• Manage stakeholder expectations and communicate timelines, progress, blockers, and outcomes in a clear, data-informed manner to audiences at every level of the organization
• Establish and maintain governance frameworks for AI tool usage across business units, ensuring compliance with organizational policies and security requirements
• Serve as the accountability owner for business AI outcomes — if a tool isn’t delivering value, you’re the one who flags it, fixes it, or kills it