About EasyKnock

EasyKnock is the country’s first home equity solutions platform. Our innovative programs give homeowners flexible, quick solutions for their financial needs. Whether paying off debt, purchasing a new home, or funding a business, EasyKnock empowers homeowners to convert their equity to cash without strict lender qualifications through our suite of sale-leaseback solutions. Customers sell their homes to us and remain as renters while working toward their goals. We’re passionate about helping American homeowners access the equity they’ve built up in their homes by giving them back liquidity, flexibility, and control.

Position Description

EasyKnock, the nation's pioneering home equity solutions platform, is seeking a Senior Product Manager to join our dynamic and rapidly growing team. Our programs empower homeowners with innovative financial solutions by leveraging the equity in their homes. As a Senior Product Manager at EasyKnock, you'll play a vital role in leading the development and execution of our data-driven products and services.

In this pivotal role, you'll lead the digitization of complex internal processes and the creation of cutting-edge data products. Your efforts will power multiple customer and business-facing processes, expanding our comprehensive customer view and providing valuable insights that drive strategic decisions across the company.

As part of our close-knit team, you'll have the opportunity to tackle unexplored problem spaces, brainstorm innovative solutions, collaborate with various internal stakeholders, and work with external partners to enhance our integrations, decision engines, and customer insight infrastructure. This is the place for you if you thrive in creating from scratch and painting a compelling vision for data products.

Roles & Responsibilities

• Manage the product roadmap for internal data, aiming to boost transparency and efficiencies across the business
• Prioritize next-generation data products based on internal stakeholder feedback, customer input, and industry trends
• Collaborate cross-functionally with software engineering, data engineering, Salesforce developers, and other internal stakeholders to build scalable, reusable data pipelines
• Utilize large data sets, data pipelines, and data warehouses to power critical processes and applications