Top Tech Jobs & Startup Jobs in NYC, NY

Drive revenue by selling consumer purchase insights, measurement, and audience solutions to agencies, brands, and media platforms. Responsibilities include developing go-to-market strategies, managing the full sales cycle, building agency and platform relationships, forecasting pipeline, educating clients on outcome-based measurement, and collaborating with product, analytics, marketing, and partnerships teams. The role requires consultative selling, strong industry relationships, and experience in advertising, media, data, or ad technology sales.

Technical lead for Quantitative Intelligence, setting strategy across predictive modeling, panel weighting, campaign measurement, and production ML. Responsibilities include developing forecasting and propensity models, causal measurement methodologies, privacy-preserving techniques, scalable data pipelines, evaluation frameworks, and governed model outputs. The role mentors senior scientists and engineers, communicates methodology to clients and stakeholders, and may progress into formal people management.

Sell audience targeting solutions to brands and agencies through full-cycle sales activities, including prospecting, discovery, solutioning, proposals, closing, and handoff. Translate client objectives into audience strategies and activation plans aligned with performance KPIs. Explain audience activation, data integration, privacy, and onboarding concepts. Maintain forecasts and CRM records while providing market feedback to Product and Strategy teams.

Generates and qualifies outbound and inbound sales opportunities for agencies, brands, and media platforms. Conducts multichannel prospecting, researches buying groups, gathers market feedback, forecasts qualified demand, manages activities in Salesforce, and partners with sales, marketing, analytics, and product teams. The role requires B2B revenue development experience and familiarity with Ad Tech, Mar Tech, Ad Measurement, programmatic media, audience targeting, and enterprise prospecting.

Own and advance production predictive intelligence systems, beginning with 30-day consumer spend prediction. Lead model development, experimentation, evaluation, feature pipelines, forecasting, privacy-preserving ML, production scoring, and quality monitoring at scale. Diagnose model and data issues, optimize accuracy against compute costs, publish governed model outputs, mentor junior data scientists, direct AI coding agents, and communicate results to technical and non-technical stakeholders.