
11 - 50 employees
Founded 2022
đł Fintech
đ€ Artificial Intelligence
âïž SaaS
Fintech âą Artificial Intelligence âą SaaS
Saaf Finance is an AI-driven underwriting platform for mortgage lenders. Saafâs AI Underwriter automates mortgage underwriting across products such as Non-QM, RTL, HELOC, DSCR, Jumbo, and Bank Statement loans, using OCR, large language models, and API integrations with data vendors and loan origination systems (e. g. , Encompass, MeridianLink). The platform produces structured âSource of Truthâ loan data, reduces fraud risk through direct data connections, and claims substantial operational gains (faster processing, lower cost, and greater scalability). Saaf positions itself as a B2B partner to mortgage operations and secondary market participants, leveraging a training set of 200K+ loans and decades of industry experience to augment underwriters rather than replace them.
đ„ 44 minutes ago
đźđł India â Remote
â° Full Time
đ Senior
đ§ QA Engineer (Quality Assurance)
đ» Ghost score 16%
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11 - 50 employees
Founded 2022
đł Fintech
đ€ Artificial Intelligence
âïž SaaS
Fintech âą Artificial Intelligence âą SaaS
Saaf Finance is an AI-driven underwriting platform for mortgage lenders. Saafâs AI Underwriter automates mortgage underwriting across products such as Non-QM, RTL, HELOC, DSCR, Jumbo, and Bank Statement loans, using OCR, large language models, and API integrations with data vendors and loan origination systems (e. g. , Encompass, MeridianLink). The platform produces structured âSource of Truthâ loan data, reduces fraud risk through direct data connections, and claims substantial operational gains (faster processing, lower cost, and greater scalability). Saaf positions itself as a B2B partner to mortgage operations and secondary market participants, leveraging a training set of 200K+ loans and decades of industry experience to augment underwriters rather than replace them.
âą Own end-to-end quality for product features from requirements review through release readiness âą Partner with product managers, designers, and engineers to refine acceptance criteria and identify edge cases âą Design and execute tests grounded in real user journeys âą Define and maintain test plans, test cases, and quality benchmarks âą Use product analytics, user feedback, and support data to prioritize testing and focus on high-risk areas âą Identify defect and user-reported issue patterns to drive systemic quality improvements âą Communicate quality status, risks, and trade-offs to stakeholders âą Leverage AI-assisted tools for test case generation, exploratory testing support, and defect analysis âą Validate AI-powered product features, model outputs, recommendations, and automated decisions âą Evaluate and integrate emerging AI tools and practices into QA processes âą Conduct regression, functional, and user acceptance testing (UAT) âą Verify new features across user flows against acceptance criteria âą Collaborate with product engineers, product managers, and founders âą Document testing decisions, quality benchmarks, and known risk areas âą Review and improve testing workflows, coverage strategies, and defect triage processes
âą 5+ years of experience in a QA role, with meaningful exposure to product-oriented testing âą Strong understanding of the software development lifecycle (SDLC) and modern testing methodologies âą Deep product thinking, including understanding user behavior, mapping complex user journeys, and prioritizing based on business impact âą Experience using data (analytics, logs, user feedback) to inform testing strategy and prioritization âą Proficiency with bug-tracking and project management tools (JIRA, Linear, Trello, or similar) âą Excellent communication skills for articulating quality risks and trade-offs to technical and non-technical audiences âą Strong analytical skills with sharp attention to detail âą Demonstrated, regular use of AI-powered tools such as Cursor, GitHub Copilot, Claude, or similar âą Startup mindset: hands-on, resourceful, and comfortable operating in a fast-paced environment âą Preferred: experience testing AI-powered product features, including validating model outputs, recommendation accuracy, or automated decision flows âą Preferred: familiarity with mortgage, lending, or fintech product domains âą Preferred: experience with exploratory testing techniques and risk-based testing approaches âą Preferred: understanding of product analytics and observability tools for QA strategy âą Prior early-stage startup experience highly preferred
âą Unlimited PTO âą Remote-first with flexible hours âą Yearly professional development budget âą Home office setup stipend âą Competitive salary
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