Top Tech Jobs & Startup Jobs in NYC, NY

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

Lead People function operations, scalable HR programs, transformation initiatives, project intake, reporting, documentation, and AI-driven workflow improvements. Manage compensation cycles, performance reviews, engagement survey activation, organizational design, and process redesign. Act as the operational liaison between People, executive leadership, Finance, Legal, and IT while building systems, playbooks, and knowledge infrastructure that support organizational growth.

Manage cross-functional client pipeline projects from kickoff through completion, coordinating sales, marketing, and operations stakeholders. Own Asana project boards, timelines, deliverables, risks, and scope across 3–6 client accounts. Support client strategy and account management conversations, translating business goals and campaign performance insights into actionable plans. The role requires strong communication, organization, strategic thinking, and familiarity with B2B SaaS, digital marketing, demand generation, paid media, creative, and CRM platforms.

Lead and grow the front-end team while hands-on building high-performance web interfaces with React and Next.js. Define architecture, establish UI standards, conduct code reviews, mentor engineers, and collaborate with product, backend, and design teams to deliver scalable, accessible, and maintainable web applications.

Develop user interface and user experience designs using Figma, requiring at least six years of experience. Candidates must be eligible to work in the United States.

Set the technical direction for machine learning at Payabli by maturing production risk models and launching new models across the payments lifecycle. Establish experimentation, monitoring, drift detection, benchmarking, retraining, and incident-response foundations. Translate payments challenges into modeling opportunities, connect model performance to business outcomes, influence the ML roadmap, and mentor engineers while partnering with product, engineering, and risk operations.

Build agentic LLM systems that acquire, clean, validate, curate, and document large-scale biomedical datasets for multimodal model training. Develop reliable agent architectures, tooling, evaluation harnesses, quality-control workflows, and reproducible data pipelines. Collaborate with ML scientists, monitor distributed production pipelines, diagnose failures, and implement secure sandboxed execution with restricted access and audit logging.

Owns the product backlog and translates user needs into JIRA tickets, user stories, and acceptance criteria. Partners with Product Management, Engineering, QA, and cross-functional stakeholders on prioritization, release planning, testing, and delivery. Monitors feature adoption, gathers feedback, advocates for end users, and supports business cases and ROI analysis. The role requires understanding healthcare workflows and facilitating communication among technical and business teams.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Design, develop, execute, debug, and maintain Playwright test automation frameworks within an Agile DevOps environment. Assess manual testing for automation opportunities, create test cases and suites, build reusable framework components, integrate tests into Azure DevOps CI/CD pipelines, and support regression, smoke, data integrity, security, accessibility, performance, and cross-browser testing. Collaborate with developers and business analysts on test strategies, acceptance criteria, issue resolution, and automation planning.