Top Tech Jobs & Startup Jobs in NYC, NY

The Product Marketing Manager will shape go-to-market strategies, develop product positioning and messaging, support sales enablement, and analyze market intelligence to drive growth.

This job involves performing testing tasks as described in the job description. Specific responsibilities are not detailed.

The Director will manage client engagements, oversee finance processes, develop financial models, advise on strategic projects, and mentor junior staff.

Senior hands-on data engineering leader who architects and builds enterprise lakehouse solutions on Azure and Databricks. Designs and optimizes large-scale PySpark/Lakeflow pipelines, implements data governance (Unity Catalog, ABAC, lineage), sets engineering standards, mentors teams, leads hiring, and drives platform modernization.

Manage and execute affiliate and performance partnership programs across agency clients. Participate in client meetings, support strategy, handle partner onboarding/offboarding, perform daily account management, trafficking, reporting, auditing, optimization, and revenue generation. Collaborate cross-channel and analyze data to meet KPIs using analytics and partnership platforms.

Lead and deliver a portfolio of Data, AI, and ML products for retail pharmacy growth and operations. Define AI strategy toward agentic automation, architect cloud-native ML solutions, enforce security and HIPAA-compliant data governance, scale Claude Skills and MCP integrations, run engineering standards and CI/CD/DataOps, and grow high-performing engineering teams while partnering with senior stakeholders to drive measurable business outcomes.

Design, implement, and operate high-performance data center networks optimized for AI/GPU workloads. Collaborate with compute, storage, and security teams, lead incident response and 24/7 operations, mentor engineers, evaluate emerging interconnects and networking tech, and define long-term data center network strategy and standards.

The Business Systems Analyst supports application product lifecycle focusing on claims processing, collaborating with teams to gather requirements, enhance applications, and improve business processes using Agile methodology.

Lead end-to-end strategic projects to optimize health plan programs, perform data-driven analyses, build impact models, present executive recommendations, advise cross-functional stakeholders, mentor junior analysts, and monitor initiative outcomes to improve efficiency and care quality.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Executive leader responsible for GTM strategy and operational performance of Professional Services. Drives planning, forecasting, sales effectiveness, AI-enabled delivery innovation, resource planning, KPIs, and cross-functional initiatives to scale services, improve margins, utilization, and client success while building reusable methodologies and delivery assets.

Lead product marketing operations to drive field readiness: set KPIs, build reporting, govern content, manage sales plays lifecycle, coordinate launches, measure adoption and impact, and run cross-functional programs to ensure sellers have current, high-quality assets and processes that improve pipeline and win rates.

As a Senior AI Engineer, you will develop AI agent systems, design workflows, collaborate with teams, and ensure system sustainability using modern tools and architectures.

Lead a centralized L&D function supporting a global, decentralized organization. Partner with HR and business leaders to identify skill gaps, design and deliver leadership and core learning programs, manage Workday Learning (LMS), oversee compliance training, drive engagement, and lead a team of L&D professionals to ensure program effectiveness and continuous improvement.

Lead capital markets post-trade operations transformation engagements, advising on operating model design, process optimization, vendor/platform selection, regulatory and risk controls, and driving business development while mentoring teams and delivering client solutions and implementation roadmaps.

Support deal execution for platform and add-on acquisitions: evaluate opportunities, perform market research and diligence, build financial models and forecasts, prepare investment materials (IOIs, LOIs, memos), manage diligence workstreams and data rooms, coordinate advisors and stakeholders, and support negotiation, financing, closing, and post-close handoffs.