Top Tech Jobs & Startup Jobs in NYC, NY

Design, implement, and maintain robust database solutions ensuring performance, security, and compliance while collaborating with teams on data requirements and solutions.

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.

The SCADA Services Engineer will support, maintain, and troubleshoot SCADA systems, enhancing system performance and collaborating with clients and teams for optimal operation.

Manage and grow a portfolio of corporate partners to retain and expand internship placements. Own relationship management, account operations (contracts, onboarding, invoicing), Salesforce CRM data, and cross-functional coordination. Represent the organization externally and support partner and intern success through strategic planning and stakeholder engagement.

The Sales Director will lead the US expansion efforts for Automat-it, focusing on revenue generation, AWS relationships, and team leadership for a growing client base of startups and scaleups.

The Account Executive will drive revenue growth through existing accounts, develop strategic account plans, strengthen relationships with clients, and lead contract negotiations to ensure high renewal and retention rates.

The Associate will support portfolio analytics, focusing on evergreen vehicles and asset-level analyses to inform investment decisions and enhance portfolio management. Responsibilities include data-driven insights, risk analysis, and collaboration across firm teams to optimize performance and liquidity pacing.

Lead PolyAI's revenue enablement function: build and manage an enablement team, design onboarding and ongoing training, embed Force Management methodologies (CoM, MEDDPPICC), scale AI-powered enablement tools (Claude Code Deal Advisor, LetterAI), partner cross-functionally, reduce sales cycle, improve ramp and conversion through content, certifications, and adoption tracking.

As a Machine Learning Engineer, you will design and deploy ML models, integrating LLMs with cultural intelligence and developing recommendation systems, while collaborating with data engineers and optimizing model performance.

Lead and coach Agile software teams, facilitate Scrum ceremonies, manage timelines, risks, and stakeholder communication, and support delivery of AI-enabled solutions across client engagements in a distributed consulting environment.