Top Tech Jobs & Startup Jobs in NYC, NY

The Paid Search Manager will manage client relationships, lead a team, drive paid search strategies, and oversee performance media management for enterprise-level accounts.

Leads enterprise paid search programs, client relationships, and teams of managers and analysts. Sets SEM strategy, budgets, forecasting, measurement, testing, and optimization standards across a client portfolio. Develops talent, manages partners, drives cross-channel search strategies, identifies growth opportunities, and advances AI-enabled search experimentation and enterprise-impact measurement.

Manages enterprise paid social programs, including strategy, campaign execution, optimization, testing, reporting, creative trafficking, partner management, and privacy compliance. Leads client relationships, develops omnichannel media strategies, and drives performance toward enterprise-level outcomes. Recruits, mentors, and manages team members while building scalable workflows, QA processes, documentation, and operating rhythms. The role also provides paid social thought leadership and supports cross-functional marketing initiatives.

Own end-to-end business development pursuits from discovery through negotiation and close. Lead competitive RFPs, shape differentiated recommendations, coordinate cross-functional pursuit teams, write proposals and presentations, manage commercial strategy, and partner with Finance, Legal, and practice leaders to secure signed business. Maintain CRM visibility, capture win-loss insights, and improve pursuit quality using AI and shared tools.

Lead technical strategy and architecture for a client delivery data platform. Own platform priorities, integrations, reliability, engineering standards, proofs of concept, and system-level fixes. Partner with Product and senior stakeholders, mentor engineers, handle technical escalations, evaluate emerging tools and AI practices, and write code for critical work. The role requires expert SQL and Python, scalable data platform experience, cloud expertise, and hands-on LLM orchestration experience.

Designs conceptual, culturally relevant creative across digital, social, and experiential channels. Responsibilities include using AI tools for ideation and production, creating animated paid-social assets, adapting campaigns across formats, building scalable Figma systems, and applying strong visual design principles. The role presents creative rationale, manages multiple projects, maintains organized files, collaborates cross-functionally, and stays current with platform, design, and cultural trends.

Manage and optimize client product feeds across paid advertising channels, including feed testing, data transformation, quality assurance, and performance analysis. Lead client and partner relationships, define optimization goals, identify test-and-learn opportunities, and communicate recommendations. Support AI-driven and conversational shopping initiatives by auditing product data, tracking commerce-platform updates, and documenting test results.

Leads cross-functional digital media strategies, performance analysis, client relationships, account growth, and team development. The role manages budgets, media mix, KPIs, strategic initiatives, and client communications while guiding internal specialists and direct reports. Candidates need 5+ years of cross-functional strategy experience, analytical expertise, client management, direct-report leadership, and marketing or e-commerce experience. Media planning and buying experience across paid social, programmatic, search, video, or linear TV is preferred.

Lead full-stack software development across client-facing applications, ELT/ETL pipelines, and data engineering solutions. Design, test, deploy, troubleshoot, and optimize scalable systems while advancing DevOps, security, testing, and engineering practices. Partner with product managers and stakeholders to translate business goals into technical requirements, contribute to architecture and code reviews, mentor engineers, and support client onboarding and existing client solutions.

Own the AI platform product backlog, roadmap, prioritization, intake, and delivery sequencing. Translate business needs into technical user stories and acceptance criteria, partnering with AI and data engineers on integrations, tooling, agent behavior, governance, and evaluation. Lead agile ceremonies, stakeholder communication, discovery, documentation, and adoption measurement. Ensure AI capabilities are technically feasible, secure, scalable, and tied to measurable user and business outcomes.