Top Tech Jobs & Startup Jobs in New York City, NY

The Lead Solutions Architect will design and optimize reputation measurement solutions, ensuring they provide actionable insights. This role involves collaboration with the Head of Solutions Architecture and other cross-functional teams to meet client needs in reputation management, focusing on analytics and performance metrics.

As a Senior Client Success Manager, you'll ensure clients maximize their partnership with Posh by serving as a strategic advisor, overseeing product deployments, and driving revenue growth through upselling and cross-selling. You’ll also advocate for client needs internally and contribute to product strategy.

The Enterprise Account Executive will identify and develop opportunities with enterprise clients, drive revenue growth, and lead the sales cycle from prospecting to closing. They will work closely with internal teams to ensure successful implementation and stay informed of industry trends.

As an Associate Solutions Architect, you will support the pre-sales team by leading technical engagement for Bloomreach’s Discovery platform, collaborating with customers and internal teams to design solutions that meet technical and business requirements, draft comprehensive statements of work, and enhance internal process efficiency.

The Sr. Developer/Tech Lead will collaborate with clients to deliver scalable solutions, lead project teams, develop innovative software, and ensure quality deliverables. This role also involves adopting new technologies and participating in sales processes.

The Senior Revenue Operations Specialist will optimize go-to-market motions and create operational efficiencies at Mimica. Responsibilities include driving analysis for strategic decisions, managing the company's tech stack for accurate reporting, providing deal desk support, assisting in performance tracking, and offering strategic insights to increase revenue growth.

The Senior Software Engineer will focus on product development by building features, designing AI capabilities, integrating data solutions, and educating teammates on best practices around data and AI within a collaborative environment.