Worth AI

• 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.

Graph DBA RemoteEngineeringFull time Orlando, Florida, United States Atlanta, Georgia, United States Tampa, Florida, United States Miami, Florida, United States Overview Description Worth AI, a leader in the computer software industry, is looking for a talented and experienced Graph Database Administrator to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Graph Database Administrator you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners. You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users. Responsibilities What you’ll do: - Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals - Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders - Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content - Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions - Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company - Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling - Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate - Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets - Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities - Drive automation and standardization through CI/CD, model as a service, and reproducible environments - Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs Requirements - - Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin - Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models) - Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats) - API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups - Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company) - Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust) - Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred) - Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks) - Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform) - Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals - Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders. Nice to Have - - Background supporting machine learning or real-time decisioning use cases from a platform point of view - Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022) - Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida Benefits - - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance - Flexible Paid Time Off - 9 paid Holidays - Family Leave - Work From Home - Free Food & Snacks (Orlando) - Wellness Resources

• 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.

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities • Drive automation and standardization through CI/CD, model as a service, and reproducible environments • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

• Country Data Roadmaps: Define the mandatory and "nice-to-have" data requirements for each new jurisdiction, ensuring we meet local regulatory standards for KYB/KYC • Sourcing & Supplier Management: Identify and vet local business registries, credit bureaus, and specialized risk data providers • Risk Taxonomy: Develop a global framework for risk data, covering Sanctions, Watchlists, Politically Exposed Persons (PEPs), and Adverse Media • Technical Integration Strategy: Partner with Engineering and Product to ensure data is consumed appropriately and in a scalable fashion • Data Governance: Ensure all acquired data complies with global privacy laws (GDPR, CCPA, etc.) and internal data residency requirements

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

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

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