Top Tech Jobs & Startup Jobs in NYC, NY

Runs paid search, paid social, AI SDR, and account-based demand-generation programs. Manages agencies, budgets, creative and audience testing, pipeline performance, attribution, and conversion reporting. Builds AI agents and no-code or low-code workflows using tools such as Claude, Clay, n8n, Zapier, and Demandbase to automate campaign QA, routing, enrichment, alerts, and reporting.

Own end-to-end new business sales for Conversica’s Sports & Entertainment vertical. Prospect professional and collegiate sports organizations, build pipeline, manage complex sales cycles, close $75K+ ARR deals, and achieve a $1.2M annual quota. Maintain accurate forecasts and CRM data, engage executive and technical stakeholders, collaborate with SDRs, Marketing, and Sales Leadership, and support vertical strategy. This fully remote U.S. role includes occasional travel for customer meetings and industry events.

Develop and maintain Power BI dashboards, reports, KPIs, and business systems supporting commissioning, quality, and infrastructure projects. Gather requirements, improve workflows and data quality, coordinate user acceptance testing, manage enhancement requests, and validate reporting accuracy. Collaborate with operational, engineering, construction quality, and regional stakeholders to support governance, project readiness, issue tracking, and data-driven decision-making. Create documentation, training materials, and communications for system releases and reporting changes.

Leads product marketing for Pushpay’s Giving solutions during a 14-month temporary initiative. Owns positioning, messaging, competitive intelligence, go-to-market strategy, product launches, sales enablement, customer evidence, adoption campaigns, and performance measurement. Partners cross-functionally with Product, Sales, Customer Success, Growth Marketing, and Creative to drive acquisition, adoption, retention, and expansion. Requires strong B2B SaaS product marketing experience, strategic communication skills, and the ability to translate complex financial technology into compelling customer value.

Lead and optimize multi-channel paid acquisition campaigns across Google Search, Performance Max, YouTube, paid social, Reddit, CTV, and emerging platforms. Manage budgets, channel expansion, partner relationships, experimentation, creative and messaging tests, attribution analysis, and funnel optimization. Collaborate with Growth, Analytics, Product, Lifecycle Marketing, and Creative teams to improve CAC, CPL, ROAS, conversion rates, incremental lift, and acquisition scale.

Own the AI product roadmap for document extraction, including prioritization, accuracy metrics, model and vendor decisions, capacity planning, tax-year releases, and correction workflows. Partner with AI, engineering, product, UX, QA, tax, finance, sales, and client success teams to define requirements, evaluate model performance, manage costs and latency, and deliver filing-grade structured data.

Administers internal business applications, including user access, security, configuration, permissions, troubleshooting, and vendor coordination. Supports AI platform rollouts through training, documentation, usage guidelines, and adoption initiatives. Partners with IT, development teams, and stakeholders on application updates, change management, releases, patches, and process documentation. Provides end-user support, mentoring, and training while promoting data integrity, security, and effective application usage.

Drives B2B sales growth across commercial parking, hospitality, and hotel self-parking verticals. Responsibilities include prospecting, cold outreach, relationship building, consultative solution selling, industry engagement, pipeline management in Salesforce, quota attainment, objection handling, and handoffs to operations. The role requires frequent in-person site visits and extensive regional travel while partnering with marketing and operations to support customer acquisition and implementation.

Build and maintain data pipelines, SQL queries, data models, database structures, and centralized data warehouse capabilities. Clean and validate data, develop reporting datasets and solutions, support KPI tracking and historical analysis, and collaborate with Finance and Revenue Operations. Investigate data gaps, troubleshoot integrations, and independently deliver reliable technical solutions.

Designs scalable business and client-specific solutions by analyzing financial data, evaluating technology ecosystems, and aligning solutions with organizational strategy. Partners with sales, technical, practice, and delivery teams to develop solution strategies, negotiate with stakeholders, support implementation, and ensure alignment with budgets, timelines, regulations, and customer expectations. The role also drives innovation, continuous improvement, and data-informed decision-making across a global, matrixed organization.