Worth AI

• Partner with the sales team as a technical expert during discovery, scoping, and solution design while owning the technical narrative from first call through close. • Lead and deliver tailored product demonstrations and proof-of-concept engagements that map Worth's capabilities directly to a prospect's compliance, onboarding, and underwriting workflows. • Develop and execute detailed implementation plans, timelines, and success criteria for new client deployments, ensuring smooth handoffs and a fast time-to-value. • Serve as the primary technical point of contact during onboarding, coordinating across internal engineering, product, and data teams to resolve integration questions and unblock client teams. • Design and deliver customer training programs and technical documentation to drive platform adoption and self-sufficiency. • Capture and synthesize client feedback post-implementation, partnering with Product to translate real-world use cases into roadmap input. • Collaborate with Customer Success Managers to identify expansion opportunities, close training gaps, and build enablement materials that support long-term account health. • Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and SMB lending and bring that context into client conversations and internal strategy discussions.

• Design, develop, and maintain automated test scripts and frameworks to ensure high-quality software delivery. • Develop robust testing strategies for both back-end and front-end components of our applications. • Collaborate with cross-functional teams to understand requirements and provide testing insights throughout the development lifecycle. • Execute functional, regression, and performance testing to identify software defects and ensure optimal functionality. • Utilize tools and technologies to enhance automated testing capabilities. • Identify and report defects, track issues, and work closely with developers to resolve them efficiently. • Participate in code reviews, providing feedback on testability and quality aspects of code. • Maintain testing documentation, including test plans, test cases, and technical specifications. • Research and implement industry best practices for software testing and automation. • Assist in performance testing and analyze results to identify areas for improvement.

Title: Quality Assurance (QA) Engineer Remote Engineering Full time Orlando, Florida, United States Atlanta, Georgia, United States Tampa, Florida, United States Miami, Florida, United States Job Description: Worth AI is looking for a detail-oriented QA Engineer (Manual and Automation) to join our innovative team. As a QA Engineer, you will be responsible for ensuring the highest quality of our software products through rigorous testing and validation processes. Your role will be pivotal in maintaining our commitment to excellence as we develop advanced AI solutions that empower businesses to make equitable decisions. In this role, you will work closely with cross-functional teams, collaborating with developers, product managers, and other stakeholders to ensure our software meets the highest standards of reliability and performance. Your insights and expertise will help us enhance our products, contributing to a more inclusive and diverse business environment. Responsibilities - Build and execute comprehensive test plans and detailed test cases - both manual and automated - to validate feature functionality and system reliability. - Design and implement end-to-end UI and API integration tests using our proprietary testing framework, ensuring seamless interoperability across the front-end and back-end layers. - Develop, maintain, and enhance automated test suites, leveraging tools and frameworks to catch regressions and accelerate release cycles. - Collaborate closely with product and engineering teams to dissect requirements, review designs, and ensure testability from the earliest stages. - Triage, document, and track all defects - providing clear reproduction steps, impact assessments, and suggested remediation strategies. - Present concise test reports and risk analyses to stakeholders, highlighting critical issues and recommending prioritization. - Engage actively in sprint ceremonies (planning, stand-ups, demos, retrospectives) to champion quality every step of the way. - Conduct thorough regression and integration testing after each code change to verify fixes and prevent unintended side effects. - Keep QA deliverables - test plans, cases, scripts, and results - organized, versioned, and easily accessible for audits and knowledge sharing. - Continuously research and adopt emerging QA best practices, tools, and methodologies to enhance our testing capabilities and efficiency. Requirements - Experience: Minimum 5 years in Quality Engineering, with 3+ years in test automation. - Testing Methodologies & Processes: Deep understanding of SDLC and Agile/Scrum. Able to define test strategy, design test plans/cases, and track coverage/metrics. - Automated Testing: Proficient with Playwright, Jest, Pact. Experience integrating test suites into CI/CD (e.g., Jenkins, GitHub Actions, Azure DevOps). - Scripting & Programming: Proficient in TypeScript/JavaScript, Python is a plus. - API & Backend Testing: Solid experience with RESTful/gRPC API testing, including service virtualization/mocking. Expert in PostgreSQL and SQL testing (complex queries for data integrity). - Performance Testing: Working knowledge of JMeter, Gatling, or Locust for benchmarking and stress analysis. - Cloud & DevOps: Working knowledge of AWS. Comfortable validating containerized environments (Docker, Kubernetes). - CI/CD & DevOps Practices: Familiar with building, deploying, and automating test runs in CI pipelines; troubleshooting flaky tests and pipeline failures. - Test Management & Defect Tracking: Skilled with JIRA, TestRail, Zephyr, or similar. - Soft Skills: Excellent analytical and problem-solving skills, meticulous attention to detail. Strong verbal and written communication. Collaborative mindset. - Preferred: Prior experience in AI, FinTech, or Payments. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance - Flexible Paid Time Off - 9 paid Holidays - Family Leave - Remote - Hybrid work (for Orlando Associates) - Free Food & Snacks (Orlando) - Wellness Resources

• Architect and execute comprehensive test plans and detailed test cases—both manual and automated—to validate feature functionality and system reliability. • Design and implement end-to-end UI and API integration tests using our proprietary testing framework, ensuring seamless interoperability across the front-end and back-end layers. • Develop, maintain, and enhance automated test suites, leveraging tools and frameworks to catch regressions and accelerate release cycles. • Collaborate closely with product and engineering teams to dissect requirements, review designs, and ensure testability from the earliest stages. • Triage, document, and track all defects—providing clear reproduction steps, impact assessments, and suggested remediation strategies. • Present concise test reports and risk analyses to stakeholders, highlighting critical issues and recommending prioritization. • Engage actively in sprint ceremonies (planning, stand-ups, demos, retrospectives) to champion quality every step of the way. • Conduct thorough regression and integration testing after each code change to verify fixes and prevent unintended side effects. • Keep QA deliverables—test plans, cases, scripts, and results—organized, versioned, and easily accessible for audits and knowledge sharing. • Continuously research and adopt emerging QA best practices, tools, and methodologies to enhance our testing capabilities and efficiency.

• Lead the implementation process for newly acquired clients, ensuring a smooth onboarding experience. • Collaborate with the sales team to understand client requirements and provide technical insights during the post sales phase. • Develop and manage project plans, timelines, and deliverables to meet client expectations. • Create and deliver technical product demonstrations tailored to specific business needs. • Coordinate with internal teams to address technical questions and provide necessary support throughout the implementation process. • Conduct customer training sessions and develop support materials to facilitate the adoption of our solutions. • Gather customer feedback post-implementation and relay it to the product development team for ongoing enhancements. • Stay informed about industry trends and technological advancements in FinTech and AI to inform project strategies. • Collaborate closely with Customer Success Managers to identify upsell opportunities, pinpoint training gaps, and create materials for client support.

• Own and maintain Worth’s compliance and governance programs across AML/BSA, KYB/KYC, OFAC/sanctions, FCRA, privacy, and applicable financial services regulations • Lead and mature the company’s GRC function, including risk assessments, policy governance, control management, audit readiness, and compliance documentation • Support and manage external audits, certifications, and regulatory initiatives including SOC 2, PCI DSS, GDPR/privacy-related obligations, customer due diligence reviews, and emerging AI governance or assurance frameworks as the company and regulatory landscape evolve • Serve as a compliance advisor to Product and Engineering teams to ensure regulatory and governance requirements are embedded into platform capabilities and workflows • Develop and maintain Worth’s AI governance framework, including oversight of AI usage, model governance, data handling, automated decisioning considerations, and emerging AI regulatory requirements • Monitor regulatory developments and translate evolving requirements into actionable operational and product guidance • Act as a primary point of contact for enterprise customers, auditors, and partners on compliance, governance, and regulatory matters • Oversee third-party compliance and risk management processes for vendors, data providers, and technology partners • Lead compliance-related incident response activities, including regulatory inquiries, customer escalations, and coordination on privacy or security events • Own and mature Worth’s third-party risk management program, including compliance oversight, due diligence, ongoing monitoring, and risk assessments for vendors, data providers, technology partners, and other third parties supporting regulated operations • Build compliance awareness and training programs across the organization and help foster a strong culture of governance and accountability

Senior QA Analyst Remote Engineering Full time Orlando, Florida, United States Atlanta, Georgia, United States Tampa, Florida, United States Miami, Florida, United States Job Description: Worth AI is seeking a Quality Analyst to join a product team as the dedicated quality owner for a defined domain of our platform. In this role, you will be embedded within a cross-functional team, working alongside engineers, product managers, and automation specialists to ensure we ship reliable, predictable, and high-quality software. You will develop deep domain expertise, design comprehensive manual test coverage in Qase, execute rigorous validation across complex workflows, and partner with automation engineers to ensure high-value scenarios are automated over time. You are methodical, curious, detail-oriented, and comfortable asking hard questions when requirements feel incomplete or ambiguous. You view quality not as a gate, but as a shared responsibility — and you help raise the bar across the team. Responsibilities - Own the quality strategy for a major product area, ensuring comprehensive coverage across features, integrations, and data flows. - Develop deep expertise in business logic and proactively identify risk areas before implementation begins. - Translate ambiguous requirements into structured, comprehensive test strategies in Qase. - Design complex, multi-system test scenarios that validate real-world workflows and failure states. - Execute advanced exploratory testing to uncover edge cases others may miss. - Lead regression strategy for your domain and ensure coverage evolves as the system grows. - Partner with automation engineers to prioritize and evolve automation coverage strategically. - Analyze defect trends and propose systemic improvements to reduce recurring issues. - Participate in architecture and design discussions to advocate for testability and risk mitigation. - Communicate release risk and tradeoffs clearly to engineering and product leadership. - Mentor Quality Analysts and help level up testing rigor, documentation quality, and risk awareness. - Raise the standard of clarity in acceptance criteria and definition of done. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis Infrastructure: Kubernetes, ArgoCD Monitoring: DataDog Test Management: Qase Requirements - 6+ years of experience in software quality assurance or quality analysis. - Proven experience owning quality for complex product domains. - Strong ability to handle ambiguous requirements and convert them into structured validation plans. - Demonstrated experience identifying systemic risk beyond surface-level bugs. - Advanced experience designing comprehensive test strategies in Qase (or similar tools). - Strong understanding of distributed systems, APIs, and data validation. - Ability to analyze patterns in defects and influence process or architectural improvements. - Experience mentoring or coaching other QA team members. - Strong communication skills and comfort presenting risk assessments to leadership. Success Metrics - Significant reduction in escaped defects within your domain. - Improved release confidence and fewer high-severity production incidents. - Higher clarity in requirements and fewer late-stage ambiguities. - Clear regression strategy with strong traceability and evolving coverage. - Increased maturity of other QA team members through mentorship. - Measurable improvement in quality-related DORA indicators (Change Failure Rate, MTTR). Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance - Flexible Paid Time Off - 9 paid Holidays - Family Leave - Remote - Hybrid work (for Orlando Associates) - Free Food & Snacks (Orlando) - Wellness Resources

• Own the design and implementation of major integrations and subsystems, from initial partner evaluation through production rollout and ongoing operation. • Build and maintain integrations with third-party data providers (KYB, KYC/IDV, AML, fraud, banking, identity) and abstract them behind clean, versioned internal contracts • Design, evolve, and operate Worth's public REST APIs and SDKs, with strong attention to versioning, backward compatibility, authentication, rate limiting, and developer experience. • Break down ambiguous partner specs, customer integration requirements, and vendor edge cases into clear technical designs with well-understood tradeoffs. • Write high-quality production code across backend and (where needed) frontend systems using Node.js, TypeScript, Nest.js, and React.js. • Design and evolve PostgreSQL schemas that capture vendor responses, normalization layers, and crosswalking metadata, with strong attention to indexing, performance, and data integrity. • Build event-driven workflows with Kafka and Redis that orchestrate enrichment, retries, dead-lettering, and backpressure across slow or flaky upstream APIs. • Optimize slow queries and resolve systemic performance bottlenecks in high-throughput integration pipelines. • Deploy, monitor, and debug containerized integration services in Kubernetes, including the alerting and runbooks that catch vendor degradations before customers do. • Lead pragmatic refactors of legacy or accreted integration code into modular, testable, swappable adapters. • Handle production incidents methodically (vendor outages, schema changes, auth rotations, quota exhaustion) and harden the system to reduce recurrence. • Lead by example in code reviews, coaching others on integration patterns, resilience, testing strategy, and API design. • Communicate complex tradeoffs across engineering, product, partnerships, and customer-facing teams.

• Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring. • Architect agent graphs in LangGraph (or comparable — CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks. • Build the retrieval layer powering our agents — chunking, hybrid search, reranking, and grounded citation. • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage. • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product. • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents. • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture — auditability and explainability built in, not bolted on. • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

• Personally hunt, own and close a named list of strategic enterprise accounts mid-market and enterprise banks, credit unions, payment processors, lenders, and platform fintechs. • Carry a direct, individual quota in addition to your team's number. • Run discovery, scoping, demo, technical evaluation support, commercial negotiation, redlines, and contract close with assists from Solutions, Product, Legal, and Finance. • Drive measurable pipeline yourself through outbound, network, partner channels, and event work — you are not waiting on marketing or SDRs to feed you. • Be the senior voice in the room on Worth's biggest deals including ones your AEs are running and step in to unblock at any stage. • Hire, develop, and retain a high-performing team of Enterprise AEs and supporting SDRs raise the bar with every hire. • Run weekly 1:1s, pipeline reviews, deal reviews, and call coaching. Listen to recorded calls, ride along on live ones, and give specific, actionable feedback within 24 hours. • Own forecasting accuracy. Submit a weekly call to the CRO that you can defend deal-by-deal. • Partner closely with Marketing on ABM, with Product on roadmap signal from the field, with CS on handoff and expansion, and with Partnerships on co-sell motions. • Build the operating cadence: pipeline generation targets, stage conversion targets, cycle-time targets, win-rate targets — and hold the team to them. • Present sales performance, pipeline health, competitive intel, and strategic recommendations to the executive team and board as needed.