Top Tech Jobs & Startup Jobs in NYC, NY

The VP of Partner Success will define and execute strategies for retailer success, drive revenue growth, and build relationships with C-level stakeholders. Responsibilities include managing a Partner Success organization, aligning go-to-market strategies, and leading executive reviews to enhance performance metrics and operational efficiency.

As Sales Director, you will manage the entire sales process for new partners, focusing on Enterprise Retailers and DTC brands, while exceeding targets and ensuring customer satisfaction through product insights.

Own end-to-end product design from discovery to launch. Partner with PMs and engineers to create wireframes, prototypes, and polished UI. Conduct user research, use data to inform decisions, evolve design system, and present work to stakeholders.

Own performance, growth, and profitability for a portfolio of creator and brand accounts by buying and optimizing paid social daily. Monitor campaigns, drive actionable recommendations, onboard high-priority accounts, scale spend profitably, and coordinate cross-functional stakeholders. Build processes, triage systems, and mentor/support resources to run a high-volume, performance-driven book.

Manage strategic partner relationships to drive adoption, revenue, and renewals. Deliver performance reports and executive business reviews, identify upsell opportunities, oversee technical implementations, monitor user flows for optimization, and communicate partner feedback to product and engineering to inform development.

The Product Marketing Manager will develop product positioning, messaging, and go-to-market strategies, collaborating across teams to drive product adoption and market success.

Define and drive full-stack architecture and technical vision across teams, write high-quality production code, lead zero-to-one projects, productionize ML systems, own reliability and SLOs, mentor senior engineers, and align engineering roadmaps with product and company strategy.

The Senior Machine Learning Engineer will manage the full ML lifecycle, collaborating with teams to develop scalable systems that improve product decisions and empower monetization strategies.