Top Tech Jobs & Startup Jobs in NYC, NY

Lead budgeting, forecasting, and variance analysis while building AI-driven financial models, scenario planning, KPIs, and dashboards. Automate FP&A processes, deliver insights to senior leaders, and collaborate with cross-functional teams to improve forecast accuracy and strategic decision-making.

Lead design, development, and deployment of real-time Apache Flink streaming pipelines. Architect scalable, fault-tolerant, low-latency systems, optimize performance and clusters, integrate with Kafka and storage, manage Flink lifecycle, mentor data engineering team, and collaborate with DevOps and stakeholders to ensure high availability and roadmap planning.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Lead integration of AI-driven tools into tax provision, planning, and multi-jurisdictional compliance. Design ML/analytics solutions for sales and payroll tax, enhance regulatory filings, support audits, and collaborate with finance, legal, and technology teams. Monitor tax regulation changes, document AI tax models for transparency and governance, and continuously refine models for scalability, reliability, and compliance.

Design and deliver training on integrating AI with electrical engineering. Create practical learning scenarios, evaluate AI-driven solutions, mentor team members, develop clear instructional materials, and keep content current with AI and EE advances while collaborating with cross-functional teams.

Lead architecture and delivery of real-time stream-processing pipelines using Apache Flink and Java. Design scalable, event-driven, low-latency systems; optimize performance and reliability; deploy and manage cloud/containerized services; enforce CI/CD, testing, and observability; troubleshoot production issues; collaborate with cross-functional teams; and mentor engineering teams.

Serve as the internal customer advocate and technical pre-sales lead for finance-heavy billing and revenue recognition solutions. Translate complex billing and revenue requirements into configured demos, sandbox environments, and solution documents. Partner with Sales, Product, and Engineering to support discovery, RFPs, implementations, and handoffs for enterprise customers.

Lead multiple concurrent enterprise initiatives end-to-end, establish governance and execution plans, coordinate cross-functional stakeholders, run workshops, produce executive-ready documentation, mitigate risks, and transition projects to steady-state ownership to deliver measurable business outcomes.

Lead end-to-end operations and P&L for a business unit, driving process improvements, operational efficiency, scalable systems, and data-driven performance. Manage large cross-functional teams, oversee customer experience, compliance, forecasting, and reporting, and collaborate with leadership to translate strategy into measurable outcomes while mentoring leaders and strengthening organizational capability.

Provide clinical expertise to improve AI mental-health tools: annotate clinical interactions, evaluate psychotherapy datasets, design psychological testing scenarios, apply CBT frameworks, collaborate with engineers, ensure ethical standards, and drive research-backed AI improvements.