Top Tech Jobs & Startup Jobs in NYC, NY

Analyze social and digital campaign performance and social listening data to produce dashboards, reports, and actionable recommendations. Collaborate with account, content, and strategy teams to inform campaign planning, ensure reporting accuracy, and research emerging social trends to improve client outcomes.

Lead paid social and creator-led acquisition across Meta and emerging social platforms. Own strategy, budgeting, bidding, audience targeting, and creative experimentation. Manage paid influencer/creator partnerships, ensure compliance with cannabis platform policies, coordinate measurement and tracking (Branch/UTM, MMPs, GA4), and collaborate with creative, lifecycle, finance, and media operations to drive efficient first-time shopper acquisition and downstream retention.

Design, build, and maintain data integration, warehouse, and BI solutions supporting subscriber acquisition, campaign and storefront systems. Create schemas, stored procedures, dashboards, and reports; optimize queries; aggregate multi-source data; ensure data quality, PII compliance, and platform observability. Collaborate across teams, mentor engineers, and provide executive reporting and analytics for video/OTT products.

As CTO and co-founder, you will join a Cold Start venture to prototype and launch products, recruit teams, and build impactful companies.

As a Financial Engineer, you will model, create, backtest, and launch index strategies, utilizing Python and collaborating with clients and teams.

The Event Operations Manager oversees live and digital events, managing budgets and vendors, ensuring successful execution and attendee satisfaction.

The role involves owning a $5M-$10M+ customer portfolio, focusing on Net Revenue Retention, driving expansion and retention, managing renewals, and collaborating cross-functionally to refine processes.

Manage the sales process, build relationships with clients, support the sales team, and maintain sales records. Strong technical knowledge is essential to succeed.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

The Product Development Manager oversees product development from concept to launch, collaborates with various teams, manages timelines and budgets, and ensures regulatory compliance while addressing product challenges.