Top Productivity Jobs in New York City, NY

Lead the development of a Tokenized Deposits platform for financial institutions, ensuring compliance with US deposit regulations and navigating technical challenges. Engage with banks to validate product strategies and collaborate with engineering.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

Lead business development to improve pipeline generation in a B2B SaaS environment. Develop strategy, coach teams, and ensure performance through technology and innovation.

The Founding Product Marketing Manager will position, message, and launch GovWell's AI-powered products, collaborating with product teams to ensure market resonance and drive customer engagement.

Lead the implementation of Kizen’s AI and automation solutions in the insurance sector, ensuring successful client adoption and operational excellence. Manage teams, client relationships, and project delivery while driving innovative workflows and improving processes.

Provide executive support to the CTO, manage complex calendars and meetings across time zones, coordinate travel and vendors, handle office management, support team events and administrative projects, and assist with special tasks to keep office operations running smoothly.

The Growth Lead will drive revenue operations, inbound strategy, and growth experimentation, utilizing data analytics to improve sales pipeline and conversion rates.

Lead end-to-end SaaS implementation projects from kickoff to go-live, coordinating cross-functional teams and vendors, managing schedules, budgets and regulatory requirements. Drive PMO initiatives, process improvements, and scalable playbooks. Support client training via the LMS, manage stakeholder communications, and ensure successful change management and adoption.

This role involves orchestrating events, managing logistics for conferences, data analysis for marketing attribution, and innovative GTM strategies alongside internal teams.

The role involves designing backend architectures for robotics, developing firmware for hardware integration, ensuring system safety and reliability, and mentoring engineers on best practices.