Top Tech Jobs & Startup Jobs in NYC, NY

Lead PMO governance and execution for complex infrastructure integration programs. Coordinate global stakeholders, technology SMEs, workstreams, dependencies, risks, issues, and escalations. Maintain program plans, RAID logs, milestone tracking, KPI reporting, and executive communications. Facilitate workshops and deep dives, simplify technical interdependencies, resolve blockers, and support delivery across cloud, networking, compute, data center, end-user technology, and application environments.

Develop production-grade Python data processing pipelines and FastAPI service endpoints with asynchronous processing. Design and optimize SQL queries and stored procedures, work with Unix and Git, write unit tests, and support multiple Agile projects. Preferred experience includes finance data, AI model monitoring and debugging, ML service deployment, anomaly detection, pandas, scikit-learn, and generative AI solutions using LLMs and multimodal models.

Designs, stages, tests, validates, and certifies network platforms and solutions. Requires strong LAN/WAN engineering, routing and switching, Cisco Catalyst and Nexus expertise, Linux administration and networking knowledge, operating systems understanding, and hands-on Python automation experience. The role emphasizes Linux and programming alongside core networking responsibilities.

The Principal Risk Analyst will identify, assess, monitor, and mitigate counterparty, market, liquidity, operational, technology, information security, and blockchain risks within a crypto payments business. Responsibilities include reviewing payment flows and products, assessing third parties and crypto protocols, developing risk frameworks, defining risk appetite and KRIs, supporting treasury and resilience activities, and preparing reporting for leadership, auditors, and partners.

Reviews and edits grant proposals and reports for clarity, grammar, and accuracy; develops and updates proposal and report templates; incorporates program information from stakeholders; supports grant-seeking and proposal development; and reports task progress for project management. Requires strong writing, communication, discretion, collaboration, attention to detail, and proficiency in Microsoft Word.

Supports COBOL mainframe application lifecycle activities, including gathering requirements, analyzing business needs and data, creating business cases, developing and executing test cases, managing defects, performing root cause analysis, and verifying delivered solutions. Collaborates with engineers, architects, customers, vendors, and cross-functional teams throughout technology projects. Maintains documentation, supports compliance approvals, communicates project status, and helps resolve risks and issues.

Supports automated testing for Epic and other healthcare applications using UiPath. Develops and maintains test scripts, documents workflows, executes test scenarios, analyzes results, troubleshoots defects, validates outcomes, and supports quality improvement. Collaborates with analysts, engineers, business stakeholders, and vendors across the technology delivery lifecycle while applying testing, documentation, compliance, and software development lifecycle practices.

Shape 5–10+ year product opportunities through speculative prototyping, design fiction, foresight research, and commercial opportunity framing. Create future-state artifacts, value propositions, opportunity briefs, and investment options; facilitate activation workshops; transition validated concepts to R&D, product, and incubation teams; influence senior leaders; and mentor peers. Collaborate across research, design, business, and product functions using methods such as STEEP, causal layered analysis, scenario planning, backcasting, and Delphi.

Leads growth analytics by developing rigorous savings methodologies, actuarial and financial models, segmentation analyses, pitch materials, and client presentations. Partners with sales, product, health economics, and data teams to communicate Lantern’s value proposition to employers, health plans, consultants, and executives. Manages and coaches an analyst while ensuring analytical accuracy, scalability, and effective use of AI-enabled workflows.

Leads content business analytics through strategic analysis, business intelligence, performance measurement, data infrastructure, royalty reporting, customer segmentation, and executive dashboarding. Partners with Product, Engineering, Revenue Operations, and Finance to establish KPIs, improve data governance, optimize product usage and costs, support platform provisioning, and translate insights into business strategy and resource-allocation decisions.

Participate in a nine- to ten-week summer internship within Goldman Sachs' Executive Office. Attend orientation and training, contribute to real responsibilities, and support the firm's corporate strategy, culture, stakeholder relationships, communications, and social and sustainability initiatives.

Build and productionize AI-powered research tools and agentic pipelines for Global Investment Research. Develop full-stack features with Java or Python, implement RAG and multi-agent workflows, integrate AWS services, create evaluation and benchmarking systems, monitor production performance, support incident resolution, and maintain testing, CI/CD, documentation, and Agile delivery practices.

Build and operate the platform that schedules, runs, and monitors machine learning training, evaluation, and reinforcement-learning workloads on Kubernetes. Responsibilities include job scheduling, workload networking, runtime isolation, checkpoint storage, automation, infrastructure as code, observability, and production troubleshooting. The role collaborates with AI researchers and ML engineers and includes a compensated 24/7 on-call rotation.

Leads corporate accounting operations, including month-end close, lease and equity accounting, foreign currency, purchase accounting, general ledger management, reconciliations, financial reporting, and internal controls. The role develops scalable accounting processes, improves workflows using technology and AI tools, supports acquisitions, and partners cross-functionally to ensure accuracy, compliance, and operational excellence in a high-growth technology company.

Deploy and operate large-scale GPU Kubernetes clusters across cloud providers, onboard new hardware, and improve reliability, performance, utilization, and cost. Automate fault detection and remediation for nodes, GPUs, and high-speed fabrics. Troubleshoot Linux, networking, and production performance issues while collaborating with cloud providers, hardware vendors, researchers, and ML engineers. Participate in a compensated 24x7 on-call rotation.

Lead AI Engineer to architect, develop, deploy, and support enterprise-scale agentic AI solutions using LLMs, RAG, model orchestration and secure APIs. Ensures security, governance, and compliance, collaborates cross-functionally, evaluates emerging technologies, contributes to AI roadmap, and mentors junior engineers to drive automation, efficiency, and improved customer experience.

Leads technology strategy, architecture, modernization, and engineering delivery for group benefits enrollment and billing platforms. Owns outcomes across eligibility, enrollment, member data, billing, payments, reconciliation, integrations, data governance, security, resilience, and financial controls. Develops multi-year roadmaps, drives automation and cloud adoption, resolves complex technical issues, and improves engineering practices. Builds and mentors high-performing engineering teams while aligning business, product, finance, operations, data, and enterprise stakeholders around measurable outcomes.