Top Tech Jobs & Startup Jobs in NYC, NY

Leads paid search strategy and execution for higher education clients across Google and Microsoft Ads. Owns budgets, forecasting, campaign optimization, bidding, audience strategy, testing, attribution, conversion tracking, reporting, and enrollment-focused KPIs such as CPL, CPE, and CPS. Partners with analytics and operations teams, advises clients, identifies growth opportunities, and drives adoption of automation and AI-powered advertising features.

Own a portfolio of publisher accounts, driving renewals, upsells, cross-sells, revenue growth, platform adoption, and long-term client value. Serve as a strategic advisor, lead executive and operational client engagements, analyze performance, provide recommendations, manage forecasts and account health, maintain Salesforce records, and deliver onboarding, demos, and training. Collaborate with Sales, Product, Supply Operations, and Support teams on client outcomes, RFPs, and product improvements.

This role involves leading a consulting team to deliver data-driven marketing strategies, measurement, and client engagement, while advising C-suite executives and optimizing customer journeys through advanced data analysis and insights.

Manage paid search accounts by translating client goals into channel plans, budgets, targeting, measurement, and testing roadmaps. Lead campaign execution, pacing, optimization, QA, tracking validation, and reporting across Google Ads and related platforms. Deliver performance narratives and business recaps, convert data into actionable recommendations, coordinate internal and external partners, and identify opportunities to improve campaign and client outcomes.

Manage end-to-end YouTube and Demand Generation advertising campaigns for clients, including setup, optimization, pacing, budget and bid management, reporting, and performance insights. Serve as the primary client contact, recommend improvements based on campaign KPIs, coordinate with internal teams, and ensure accurate and timely execution. The role requires hands-on Google Ads expertise across awareness, consideration, and conversion objectives, along with strong quantitative, communication, and organizational skills.

Leads paid search strategy and client relationships while managing campaign execution across Google Ads, Microsoft Ads, and SA360. Oversees budgets, pacing, optimization, testing, reporting, and performance analysis; translates data into actionable recommendations and growth opportunities. Collaborates with internal teams and mentors junior staff to ensure high-quality execution and measurable client results.

Manage paid search accounts from strategy through execution, including budget allocation, targeting, pacing, bidding, testing, QA, tracking validation, reporting, and optimization. Translate client goals and campaign data into actionable plans, performance narratives, and recommendations. Collaborate with internal and external teams to deliver campaigns aligned with client KPIs.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Lead Zeta’s AI-native Application Security function by defining strategy, building the team, embedding security agents and policy-as-code into IDEs, pull requests, CI/CD, and AI/ML pipelines, and overseeing continuous threat modeling and validation. Own security for AI systems, models, prompts, and agents, including adversarial testing for prompt injection, model abuse, and data leakage. Mentor engineers and promote automated, secure software development practices.