
1001 - 5000 employees
Founded 1999
đź’Ľ Consulting
📦 Logistics
đź›’ Retail
Consulting • Logistics • Retail
Progressive Leasing is a company that offers lease-to-own purchase options for consumers who may have less-than-perfect credit. They provide a convenient and flexible way for customers to acquire items such as furniture, electronics, jewelry, tires and wheels, mobile devices, appliances, and mattresses from thousands of retail locations nationwide. Their underwriting process considers various data points like income and banking history instead of relying solely on credit scores, allowing more people to be approved. With automatic payment scheduling options, customers can align payments with their paydays, enhancing ease and affordability.
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1001 - 5000 employees
Founded 1999
đź’Ľ Consulting
📦 Logistics
đź›’ Retail
Consulting • Logistics • Retail
Progressive Leasing is a company that offers lease-to-own purchase options for consumers who may have less-than-perfect credit. They provide a convenient and flexible way for customers to acquire items such as furniture, electronics, jewelry, tires and wheels, mobile devices, appliances, and mattresses from thousands of retail locations nationwide. Their underwriting process considers various data points like income and banking history instead of relying solely on credit scores, allowing more people to be approved. With automatic payment scheduling options, customers can align payments with their paydays, enhancing ease and affordability.
• Own the roadmap for data enablement, customer communications platforms, and eMarketing tooling across marketing needs, lifecycle functions, and emerging conversion use cases • Build and evolve lifecycle journeys that personalize at scale, from first-touch communications through re-engagement and retention • Translate complex data needs from marketing and business partners into clear product requirements for engineering • Partner with data engineering and analytics teams to identify gaps in data availability, data quality, and segmentation capability, and convert them 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 spanning marketing, technology, and lifecycle teams • Establish voice-of-customer feedback loops using communications performance, support signals, and behavioral data • Operate as an AI-first product builder using AI agents, automations, and workflow tooling in lifecycle and communications processes • Assess risks and produce structured, data-informed written narratives for leadership • Analyze product and platform performance and establish metrics for technical health and business value • Manage vendor relationships for communications vendors, CMS tools, and other third-party platforms • Maintain communication across marketing, engineering, and operations, translating strategy into execution and keeping stakeholders informed
• 5 to 7 years of experience in software Product Management • Demonstrated experience owning data products or data enablement initiatives • Understanding of how data flows, how it is consumed, and how to make it more useful to business stakeholders • Experience with marketing technology platforms including customer communications, CMS, campaign management, or notification systems • Direct hands-on fluency with lifecycle and analytics tooling, such as Braze, Iterable, Adobe Journey Optimizer, Amplitude, or equivalents • Experience using these platforms to define requirements and govern outcomes • Comfort building with AI-native tools and workflows, including AI agents, automations, and LLM-assisted operations • Ability to move between high-level strategy and detailed execution • Exceptional communication skills: listening, writing, presenting, and collaborating across technical and non-technical audiences • High integrity and ambition to pursue the best possible product • Ability to self-motivate, self-direct, and stay flexible in a fast-paced environment • Bachelor's degree or equivalent work experience • Curiosity, adaptability, and openness to learning as roles and workflows evolve • Experience with lifecycle communications or customer journey tooling is a plus • Familiarity with chat platforms, conversational AI, or digital servicing products is a plus • Background in FinTech or financial services is a plus • Experience working with or alongside data engineering or analytics teams is a plus • Mobile and web-based product experience is a plus
• Full Health Benefits; Medical/Dental/Vision/Life Insurance • Paid Parental Leave • Company Matched 401k • Paid Time Off • Paid Holidays • Paid Volunteer Time • Diversity Alliance Resource Groups • Employee Stock Purchase Program • Tuition Reimbursement • Charitable Gift Matching • Job Required Equipment & Services Will Be Provided • Competitive Compensation
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