Top Tech Jobs & Startup Jobs in NYC, NY

The Associate Producer will pitch weather stories, coordinate video elements, support meteorologists, and enhance social media presence in a fast-paced environment.

Own end-to-end partner payments for creators: calculate and distribute talent statements, prepare monthly/quarterly talent P&Ls, translate contract terms into payment models, reconcile payments to revenue, support onboarding and month-end close, implement partner payment software, and provide ad hoc partner economics analysis while serving as the primary finance liaison to talent teams.

Support daily production of The Bottom Line by cutting video and SOTs, creating topical graphics, compiling research, and assisting anchors and segment producers under tight deadlines in a fast-paced news environment.

Lead development and execution of integrated brand advertising campaigns to elevate brand presence, strengthen audience connections, drive consideration, and measure performance. Collaborate cross-functionally and with agencies, ensure creative excellence and compliance, mentor team members, and apply data-driven insights to optimize strategy.

Lead multi-channel demand generation and digital acquisition for wealth marketing. Develop ABM-style B2C acquisition campaigns, own measurement and testing frameworks, partner with Analytics/CRM to build segmentation and propensity models, optimize media mix and funnel conversion, manage cross-functional stakeholders, and mentor marketing team members.

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.

Lead and improve QA processes, provide expert QA guidance, analyze data to drive quality outcomes, collaborate cross-functionally, mentor teams, and perform Playwright/MCP test automation with SQL. Hybrid role requiring on-site work three days weekly and five days away per quarter.

The role involves creating scalable AI and ML solutions, collaborating with teams, analyzing data, and deploying models in production environments.