Top Tech Jobs & Startup Jobs in NYC, NY

Implement and maintain cloud security controls across Azure and GCP infrastructure, microservices, IAM, networks, and applications. Identify and remediate vulnerabilities, secure CI/CD pipelines and infrastructure as code, automate security workflows, and evaluate AI-related risks. Collaborate with security, engineering, infrastructure, data, legal, product, and audit teams to improve risk management and secure technology adoption.

Lead the architecture and implementation of security controls for LLM applications, RAG systems, autonomous agents, and AI-enabled engineering workflows. Build AI security testing, red-teaming, monitoring, guardrails, automation, and secure development patterns. Establish technical direction, threat-model complex systems, secure model and tool access, respond to agent incidents, evaluate emerging AI technologies, and mentor engineers across security and platform teams.

Lead end-to-end product design for repayment experiences across mobile and web. Design payment rescheduling, early payoff, reminders, and personalized financial assistance while collaborating with Product, Engineering, Data, Risk, Compliance, and Finance. Incorporate AI tools into research, prototyping, validation, documentation, and design operations; create scalable workflows, interpret metrics, validate hypotheses, communicate trade-offs, and improve post-launch experiences.

Lead Finance transformation initiatives by identifying high-friction workflows, building AI-enabled automations, and delivering measurable improvements. Own projects from problem definition through implementation, testing, adoption, governance, and impact measurement. Partner with Finance, Data, Engineering, Compliance, and platform teams to translate business needs into scalable solutions, manage risks and dependencies, and communicate recommendations to senior executives. The role is hybrid, requiring three days weekly in the Union Square Manhattan office.

Supports cash forecasting, borrowing base and liquidity tracking, covenant monitoring, lender reporting, facility position management, and treasury operations. Maintains accurate financial data, reconciles forecast-to-actual variances, prepares compliance certificates and reporting packages, manages reporting deadlines, and supports scenario analysis and ad hoc treasury requests.

Own US month-end close readiness, accounting execution, reconciliations, reporting packages, financial analytics, controls, and issue resolution. Partner with Finance, Systems, Data, Treasury, Audit, and Operations teams to improve close quality, reporting logic, data lineage, and accountability. Apply automation and AI to recurring accounting processes while maintaining appropriate review, governance, auditability, and accounting judgment.

Develop and own advanced machine learning and AI models using bank transaction and cashflow data to enable financial product capabilities, manage risk, and drive profitable growth. Design experiments, build proofs of concept, monitor production models, and collaborate with data and machine learning engineering teams on scalability. Communicate findings and tradeoffs to business stakeholders while applying statistical, research, and financial services expertise.

Analyze product funnels and user behavior to identify growth opportunities, improve customer and business outcomes, and guide product decisions. Partner with product, design, engineering, and analytics teams to track hypotheses, report key metrics, reconcile data discrepancies, maintain analytics and experimentation catalogs, and communicate actionable insights. The role requires strong SQL, visualization, experimentation, and cross-functional communication skills in a fintech or e-commerce environment.

Own the roadmap and end-to-end development of a direct-to-consumer financial product. Lead customer research, experimentation, requirements, prioritization, delivery, launch, and iteration while partnering with Engineering, Design, Data, Marketing, Risk, Compliance, Finance, and Operations. Define product and business metrics, evaluate economics and performance, ensure trustworthy customer experiences, and drive measurable outcomes across acquisition, activation, engagement, retention, repayment, and revenue.

Executes and optimizes CRM and lifecycle marketing campaigns across email, push, SMS, and in-app channels. Manages segmentation, targeting, campaign setup, quality assurance, deployment, monitoring, reporting, troubleshooting, and workflow documentation. Analyzes engagement and campaign performance through testing and customer insights, recommends improvements, supports data integrations, and collaborates with Marketing, Product, Data, and CRM teams to improve personalization and operational efficiency.