Top Tech Jobs & Startup Jobs in NYC, NY

Lead product marketing for a multi-product consumer fintech platform: build competitive intelligence, define pricing/tiering, own positioning and GTM, drive adoption and retention using qualitative and quantitative insights, and partner cross-functionally with Product, Research, and leadership to influence strategy and launches.

Lead full sales cycle for Microsoft Azure enterprise accounts, generating pipeline via inbound/outbound and partner channels, collaborating with Microsoft and internal teams, forecasting in CRM, driving customer events, and advocating customer needs to shape product and GTM strategy in the FinOps space.

As an Install Base Account Executive, you will manage and grow relationships with existing clients, focusing on upselling, renewals, and ensuring customer satisfaction. You will leverage communication and account management skills to drive revenue and product adoption, becoming an integral part of the sales strategy.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Execute trades per firm strategies, monitor crypto markets, analyze charts and indicators, follow market news, apply risk management, record and review performance, use trading platforms, and continuously develop trading skills under mentorship.

Provide remote executive support including calendar and travel management, call/email screening, briefing prep, vendor and project deadline tracking, document preparation, CRM data entry, and ad hoc administrative tasks.

This role involves in-person sales to bars and restaurants, presenting tech solutions, securing partnerships, and managing territory using CRM.

Leads strategic enterprise account teams serving financial services customers. Responsibilities include driving revenue growth, customer adoption and satisfaction, executive relationship management, account planning, cross-functional partnership, and team hiring, coaching, retention, and development. The role is based in New York City with frequent travel to Boston and Washington, D.C.

Leads complex cybersecurity incident investigations across cloud and on-premises environments. Directs investigative priorities, coordinates threat hunters and technical specialists, communicates findings and response recommendations to executive customers, and balances containment with recovery and evidence preservation. Conducts threat research, develops analytical automation, improves data quality, mentors colleagues, and contributes to technical publications and presentations.

Provides strategic technology consulting and trusted-advisor guidance to major financial-services clients. Leads digital transformation, Microsoft cloud and AI adoption, technology roadmaps, account planning, demand generation, and opportunity development. Orchestrates global Microsoft teams, partners, and customer stakeholders; advises C-level decision-makers; maps business needs to Microsoft solutions; drives security and Zero Trust initiatives; delivers technology briefings; and coaches peers on account strategy and opportunity creation.

Leads full-stack engineering and AI modernization initiatives, designing scalable enterprise applications and architecture. Responsibilities include coding, testing, technical discovery, application modernization, security and privacy integration, engineering standards, mentoring, stakeholder consulting, and strategic technology leadership. The role requires collaboration across product, operations, data, and security teams while balancing innovation, platform stability, and delivery commitments.

Build and optimize batch and streaming data pipelines for AI, analytics, and enterprise platforms. Develop scalable transformations across cloud and lakehouse environments, implement data modeling, lineage, metadata, quality controls, and orchestration, and resolve complex performance and reliability issues. Partner with cross-functional teams to deliver secure, governed data solutions while mentoring engineers and leading modern data engineering initiatives.

Leads enterprise AI Operations strategy and production lifecycle management for AI/ML applications, models, data pipelines, and platforms. Establishes deployment, governance, monitoring, observability, automation, resiliency, security, and incident-response standards in a regulated environment. Partners across engineering, infrastructure, data, risk, and production teams; influences architecture and operational controls; drives reliability improvements and continuous learning; and mentors senior technical teams in AI Ops, SRE, and production support practices.

Lead design and delivery of end-to-end ML solutions for Wealth Management, build and deploy scalable models (recommender systems, GNNs, LLMs), run large experiments, validate and monitor production models, partner with cross-functional teams, and mentor data scientists to drive measurable business outcomes.

Leads investor experience strategy and cross-functional initiatives for a fund administration platform. Analyzes complex investor data, develops dashboards and management reporting, identifies servicing improvements, and coordinates stakeholders across Investor Services, AML, tax, documentation, operations, and technology. The role manages projects from concept through implementation, improves onboarding and servicing workflows, supports strategic investors, and translates operational insights into scalable, compliant solutions.

Lead architecture, modernization, and delivery of cloud-native finance and risk technology platforms, market-data infrastructure, and AI-enabled applications. Govern architecture standards, data quality, controls, APIs, workflow orchestration, and platform reliability. Oversee FRAME implementation, engineering governance, DevSecOps, SDLC controls, and production management. Manage and mentor engineering teams, drive workflow automation and intelligent-agent adoption, and align strategic technology initiatives with business priorities, scalability, audit readiness, and operational-risk reduction.