Progressive Leasing

• Own Four's organic growth strategy end-to-end — full-funnel from awareness to install to first order to repeat purchase — and translate company goals into a growth roadmap with measurable targets • Own the brand-as-growth thesis: move Four from "a payment app" to a brand shoppers choose to follow, grounded in how people — with a heavy emphasis on Gen Z and emerging customer segments — actually discover and stick with brands • Make Four's unique product offerings clear to shoppers — what Four does today and what's coming next — and articulate how Four differs from the competition and why it's the ideal way for people to pay • Define the audiences, cultural territories, and content pillars that earn attention, and decide where to lean in, where to experiment, and where to walk away • Partner with the broader team to connect growth initiatives to real business outcomes — installs, activated shoppers, and revenue, not vanity metrics • Own and extend Four's automated content pipeline — real-time trend intelligence, content-brief generation, AI video and carousel production, compliance gating, and delivery — so it reliably produces the right content at the right moment • Run a daily content motion across Instagram, TikTok, Facebook, and emerging channels, keeping quality and cultural relevance high while volume scales • Continuously improve the engine — output quality, production cost, compliance coverage — so every run is better than the last, and document the playbooks and learnings in four-os so the system appreciates over time • Evaluate and adopt emerging AI creation tools, and fold the ones that earn their place into the pipeline • Own Four's brand voice and visual identity in practice — the standard for what Four sounds and looks like across every customer touchpoint • Grow and engage Four's social communities, building a genuine two-way layer (community management and on-brand, compliant engagement) rather than a one-way broadcast • Lead the organic engagement-and-recovery playbook that rebuilds reach and turns the audience into a community • Use social listening across channels to understand what shoppers love, what confuses them, and what they wish Four did — and feed those insights back to Product so the experience keeps improving and the install base grows more easily • Build and run Four's creator and influencer program — identify and brief the right micro-creators, activate them, manage budget, and turn social proof into reach Four can't manufacture on its own • Define the metrics that matter — reach, engagement, install, conversion, creator efficiency — and build the reporting that gives the team real-time visibility into what's working • Run a disciplined test-and-learn loop: form a hypothesis, ship it, read the result, and scale, iterate, or kill on evidence • Partner with paid acquisition and data on attribution and ROAS so every growth decision is grounded in real unit economics • Partner closely with Compliance and Legal so that regulatory requirements — FTC endorsement and advertising guidelines, state disclosure rules, and BNPL-specific obligations — are built into the content workflow as a seamless step, not a bottleneck • Maintain an auditable record of marketing approvals, and keep the pipeline's automated compliance guardrails current as rules evolve

Role Description We're looking for an Affiliate Partnerships & Revenue Manager to own and grow Four's affiliate revenue stream. This role is responsible for improving the performance of our existing affiliate base, building stronger relationships with affiliate brokers and retailers, and finding new ways to increase the revenue and GMV contribution Four generates through affiliate partnerships. This is not a passive partner-management role. You will own a revenue target and a percentage-of-GMV target, and you will be expected to improve both over time. You will analyze partner performance, identify where value is being lost or undercaptured, negotiate stronger commercial terms, and build the reporting, analytics, and operating systems that make the affiliate channel more effective. Four operates with a lean, AI-first philosophy. In this role, AI should be embedded in nearly every core workflow: analysis, reporting, forecasting, partner evaluation, workflow design, experimentation, technical execution, and ongoing optimization. A major part of this role is using AI-assisted automation to systematically improve affiliate revenue over time. You do not need to be a traditional software engineer, but you do need to be highly technical, highly analytical, and capable of building AI-assisted systems that make the affiliate business smarter, faster, and more profitable. This role reports directly to the President and is expected to operate with a high degree of autonomy and ownership. This is a fully remote or hybrid position. Candidates based in the Miami or Fort Lauderdale area are a plus. Overlap during core company working hours is required. Periodic travel for planning sessions, partner meetings, and key company events may be required. Qualifications - Meaningful experience in affiliate partnerships, performance marketing, business development, revenue optimization, or a related analytically rigorous role. - A track record of growing a revenue channel through both commercial relationship management and performance improvement. - Strong analytical capability; you can go from raw data to insight to action without waiting on someone else to do the analysis for you. - High technical fluency and comfort building reporting, automations, workflows, and AI-assisted tools. - Deep comfort using AI as a primary working tool in your day-to-day role, not as an occasional aid. - A demonstrated ability, or very strong instinct, to use AI-assisted automation to improve commercial performance in a systematic way. - Strong commercial judgment and negotiation instincts. - Experience in e-commerce, retail partnerships, marketplaces, or affiliate ecosystems is strongly preferred; fintech experience is helpful but not required. Requirements - Own Four's affiliate revenue stream, including channel growth, partner performance, and percentage-of-GMV contribution. - Establish and manage clear channel reporting across revenue, GMV contribution, partner mix, performance trends, and opportunity pipeline. - Build forecasts and performance views that help Four understand where affiliate revenue is growing, where it is underperforming, and what actions are needed next. - Focus first on optimizing Four's existing affiliate base and growing the value Four captures from current relationships. - Develop a clear understanding of which affiliate brokers, retailers, categories, and programs are creating the most value for Four. - Build and maintain strong working relationships with affiliate brokers, retailers, and other relevant partners. - Directly negotiate commercial terms, economics, placements, and program structures that improve Four's outcomes. - Identify where existing relationships are under-monetized and develop plans to increase value. - Explore new affiliate and affiliate-adjacent partnership opportunities that could expand Four's revenue base beyond its current broker relationships. - Own reporting and analytics for the affiliate channel directly; this role does not rely on a separate function to interpret channel performance. - Analyze the efficacy of Four's current affiliate program across partners, merchants, categories, placements, economics, and contribution to GMV. - Identify performance gaps, revenue leakage, attribution issues, weak economics, or missed opportunities, and take action to correct them. - Build AI-assisted workflows, dashboards, automations, and optimization systems that continuously improve affiliate performance over time. - Create systems that monitor partner health, economics, revenue trends, and GMV contribution, and surface where action is needed. - Identify recurring manual work and turn it into durable automation wherever possible. - Partner closely with Product to improve how affiliate opportunities are positioned in the Four experience and how product decisions can increase affiliate revenue and GMV contribution. - Work closely with Marketing to ensure affiliate opportunities are appropriately supported through campaigns, content, promotions, and channel coordination. Benefits - Competitive Compensation - Opportunity to advance on the leadership track - Full Health Benefits: Medical/Dental/Vision/Life Insurance + Paid Parental Leave - Company Matched 401k - Paid Time Off + Paid Holidays + Paid Volunteer Hours - Employee Resource Groups - Employee Stock Purchase Program - Tuition Reimbursement - Charitable Gift Matching - Job required equipment and services

• Own the architecture, quality, and delivery of the React Native mobile application and React JS web surfaces across iOS and Android • Define and enforce coding standards, patterns, and best practices across mobile and full-stack development • Drive the adoption of an A.I. first engineering mindset • Drive technical roadmap decisions and align them with product goals, timelines, and the broader engineering organization • Provide technical expertise in architecture, design, testing, and implementation — spanning native UI through BFF to backend API contracts and LLM integration patterns • Lead in-depth code reviews and conduct root cause analysis of critical production issues • Own end-to-end delivery of mobile and web features from technical scoping through App Store / Play Store release and production monitoring • Break down complex requirements into actionable engineering tasks, milestones, and clear ownership across a distributed team • Identify and proactively mitigate technical risk throughout the development lifecycle • Maintain and improve CI/CD pipelines and release management processes for both platforms • Develop and deploy solutions with performance, security, and accessibility in mind from the start • Lead and mentor a geographically distributed team across two hubs (Americas and India), fostering strong engineering culture and clear accountability across time zones • Work collaboratively with technical and business team members (Product, Design, QA, Backend) to develop and maintain business solutions following Agile principles • Participate in hiring — reviewing resumes, conducting technical interviews, and evaluating candidates; proven experience building and mentoring world-class engineering teams

• Reviews, tracks, and documents compliance with mandatory and non-mandatory training (e.g., anti-harassment, regulatory) using HRIS platforms like Workday, and leverages AI-assisted reporting to flag completion gaps and generate compliance summaries. • Performs routine HR program support across compensation, benefits, leave, disciplinary matters, and performance management — using tools Microsoft Copilot to draft documentation, meeting notes, and corrective action write-ups. • Maintains compliance with federal, state, and local employment law by using AI-assisted policy review tools and subscribing to regulatory update feeds; applies judgment to translate regulatory changes into updated internal practices. • Stays current on HR trends, technology, and employment law — including emerging AI tools for talent management, predictive analytics, and employee engagement — and brings relevant insights back to the team. • Develops and updates HR processes and procedures in partnership with HR leaders, using tools like Copilot in Word to draft, version, and standardize documentation efficiently. • Participates in employee engagement initiatives, supporting analysis of survey data to surface insights that inform key results and objectives. • Exercises professional judgment on day-to-day employee relations matters — corrective actions, PIPs, exit interviews — using AI drafting tools to ensure consistent, legally sound written communications. • Supports Business Partners with complex employee relations issues, including preparing documentation and synthesizing case history using AI-assisted search and summarization within your HRIS. • Facilitates HR meetings and trainings, using Copilot in Teams for real-time notes, action item capture, and follow-up generation. • Contributes to corporate HR initiatives and project work, applying AI tools to accelerate research, data analysis, and deliverable creation across cross-functional projects.

• Responsible for outbound and inbound calls, collecting on accounts that are past due • Provide top tier support and service to our customers

• Responsible for outbound and inbound calls, collecting on accounts that are past due • Provide top tier support and service to our customers

• Responsible for outbound and inbound calls, collecting on accounts that are past due • Provide top tier support and service to our customers

• Own the roadmap for data enablement, customer communications platforms, and eMarketing tooling across marketing needs, lifecycle functions, and emerging conversion use cases • Translate complex data needs from marketing and business partners into clear product requirements that engineering can build against • Partner with data engineering and analytics teams to identify gaps in data availability, data quality, and segmentation capability and convert those gaps into backlog items • Define use cases, features, requirements, and acceptance criteria for communications platforms including notifications, content management, and campaign tooling • Lead cross-functional initiatives that span marketing, technology, and lifecycle teams, bringing structure to ambiguous problems and driving alignment across stakeholders • Use sound judgment to assess risks and produce well-structured, data-informed written narratives for leadership • Analyze product and platform performance and establish metrics that reflect both technical health and business value • Manage vendor relationships where third-party platforms such as communications vendors and CMS tools are core to the product surface • Maintain strong communication channels across marketing, engineering, and operations, translating strategy into execution and keeping stakeholders informed on timelines, blockers, and outcomes

Role Description We are currently hiring a Lead Network Engineer to take ownership of the network that powers the business across a hybrid environment of AWS cloud and on-premise branch offices. You’ll work close to the foundations (AWS networking, Palo Alto firewalls, routing and connectivity, automation, and infrastructure as code) and set the direction for how the network is standardized, secured, and operated end to end. A team of network engineering contractors helps deliver the work; you’ll coordinate and prioritize what they take on while you focus on the larger initiatives. This role is a work‑from‑home position and can be performed remotely anywhere in the continental US. Qualifications - Strong, hands-on networking fundamentals across routing, switching, DNS, load balancing, NAT, and segmentation, in both cloud and on-premise contexts - Proven ability to lead a ZTNA and Secure Web Gateway (SWG) evaluation and deployment - Hands-on experience managing a Palo Alto environment - Strong AWS networking experience in a multi-account environment - Practical infrastructure as code experience, with Terraform as the core tool - A platform mindset: experience building reusable modules, guardrails, and self-service capabilities - Comfort coordinating and prioritizing a team’s delivery - A strong instinct for observability, alerting, and redundancy - Security-first thinking - Comfort operating in production with formal change management - Scripting fluency (Python, Bash, or similar) - Strong cross-team communication and a consultative approach - Comfort using AI tools Requirements - Experience with hub-spoke AWS landing zones, Account Factory for Terraform (AFT), or comparable account-vending and network-sharing automation - On-premise enterprise networking depth (Cisco routing and switching, wireless) in a hybrid environment - BGP and dynamic routing experience - Experience driving SD-WAN deployments - Hands-on experience with Dynatrace and Observe, or comparable APM, observability, and network telemetry platforms - Familiarity with WAF and edge traffic management - Experience deploying and operating workloads on Kubernetes / EKS - Experience standardizing networks across multiple environments - Prior experience operating in a regulated or FinTech environment Benefits - Competitive Compensation - Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave - Company‑Matched 401(k) - Paid Time Off + Paid Holidays + Paid Volunteer Hours - Employee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante) - Employee Stock Purchase Program - Tuition Reimbursement - Charitable Gift Matching - Job‑required equipment and services

Role Description We are currently hiring a Data Scientist to help grow our company and ensure our mission is achieved! This role is a work-from-home position and can be performed remotely anywhere in the continental US or in our corporate office in Utah. As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for: - Developing and improving key decision systems, predictive models, and business processes to drive maximum business impact. - Developing a profound understanding of our customers, products, and financials by studying the data that describe each of these elements. - Being at the forefront of this rapidly evolving field and having the opportunity to develop your own tools and technologies. - Being part of a team that forms the backbone of a company at the forefront of an exciting, growing industry. Qualifications - 2+ years experience - Master’s degree in a quantitative/technical field (Math, Stats, Econ, Eng, Physics, CompSci) - Experience with R, Python, machine learning tools, and SQL - Evidence of applying advanced models to real-world problems - Ability to craft rigorous research/evaluation designs Requirements - Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantage. - Explore new data sources both internal and external to Progressive 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. - Recommend and support strategic changes through rigorous analytics, creative problem solving. - Identify, evaluate, and help implement advanced analytics methods. - Be part of a collegial team of like-minded data scientists! Benefits - Competitive Compensation - Approaches to grow on data science/leadership paths - Full Health Benefits: Medical/Dental/Vision/Life + Parental Leave - Company-Matched 401k - Paid Time Off + Volunteer Hours - ERG's (Black, Women, PRIDE, Adelante) - Employee Stock Purchase Program - Tuition Reimbursement - Charitable Gift Matching - Necessary Equipment & Services