Top Tech Jobs & Startup Jobs in NYC, NY

Lead US electronic trading sales growth by originating and managing hedge fund and institutional asset manager relationships. Promote algorithmic trading, DMA, smart order routing, and analytics solutions; achieve revenue targets; provide market intelligence for platform development; shape go-to-market strategy; collaborate with global sales, trading, product, technology, legal, compliance, operations, credit, and risk teams; and ensure strong governance and regulatory compliance.

Research, develop, and refine predictive signals and quantitative models for systematic investment strategies. Responsibilities include sourcing novel datasets, statistical modeling, machine learning, large-scale data analysis, designing and validating trading signals, backtesting hypotheses across market conditions, and collaborating with portfolio managers to deploy successful ideas.

Design and implement scalable backend systems and enterprise-ready features for Pave’s Market Pricing platform. Own the full development lifecycle, collaborate with customers and stakeholders, solve ambiguous problems, monitor releases, set technical direction, mentor engineers, and improve engineering standards while prioritizing performance, reliability, and robust system design.

Owns technical onboarding, integration health, troubleshooting, and revenue optimization for publisher supply partners across SDK, oRTB, VAST, and related adtech integrations. Monitors SSP and partner integrations, investigates rendering, discrepancy, fraud, signal, and delivery issues, analyzes performance data, manages escalations, documents runbooks, improves onboarding processes, and collaborates with business, product, and engineering teams. The role also includes mentoring junior colleagues and supporting expansion into gaming and mobile app markets.

Supports pre-sales discovery, solution design, demos, customer onboarding, implementation, retention, partner integrations, and RFx responses. Designs scalable architectures, validates API integrations, resolves technical issues, creates partner enablement content, and collaborates with Legal, Product, Engineering, Account Executives, and Customer Success. The role translates technical concepts for customers and executive stakeholders while providing feedback to improve product offerings.

Leads commercial and technical outcomes for the Americas region, owning revenue, retention, growth, forecasting, and strategic client relationships. Directs Account Management and Ad Operations leaders, manages hiring and development, allocates budgets and resources, and drives adoption of regional standards. Partners with Sales, Product, and Engineering on onboarding, positioning, technical needs, and client feedback. Provides technical direction across programmatic advertising while translating performance data into client-facing narratives.

Manage and grow existing customer accounts while prospecting for new business in the New York market. Plan weekly activities, conduct on-site customer visits Tuesday through Friday, identify growth opportunities, build customer relationships, and develop product solutions. The role requires a bachelor’s degree, strong communication and presentation abilities, a valid driver’s license, and a good driving record. Five or more years of sales experience is preferred.

Manage a portfolio of financial services clients, strengthen relationships, identify and qualify cross-sell and upsell opportunities, lead proposals and negotiations, and drive opportunities through close. Develop account plans, collaborate with commercial and sales operations teams, monitor industry and regulatory trends, and report on pipeline activity, revenue contributions, and client feedback.

Lead client-focused AI transformation initiatives by identifying high-value generative AI and automation opportunities, designing and prototyping AI-enabled workflows and agent solutions, and supporting enterprise-scale adoption. Responsibilities include defining success metrics, coordinating business and technical teams, establishing governance and operating models, optimizing prompts and workflows, measuring impact, and enabling adoption through training, documentation, and change management.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop scalable solutions, oversee high-quality consulting delivery, build long-term client relationships, generate new business, and manage cross-functional engagement teams and multimillion-dollar client portfolios.