Top Tech Jobs & Startup Jobs in NYC, NY

Lead and develop a talented SRE team while ensuring compliance with FedRAMP regulations and collaborating across teams for security and operations.

As a Senior Product Designer, you will craft intuitive user interfaces and collaborate with teams to enhance user experiences and align with company vision.

Founding Account Executive to build the sales engine and own full-cycle B2B SaaS sales. Run discovery, demos, ROI pricing, negotiations, outbound prospecting, conference selling, and disciplined pipeline/CRM management. Collaborate with product and leadership to create GTM playbooks and scale ARR targeting $15-100K ACV deals.

The position involves empowering sales teams in the Americas by implementing strategies and programs for skills development, driving productivity, and improving sales culture through modern learning practices.

Lead sales and merchandising for regional and national wholesale accounts, develop business plans, manage distributor relationships (UNFI, Amazon, DoorDash), forecast and analyze promotions, coordinate cross-functional activities, manage MDF and trade shows, provide data-driven insights and mentorship, and oversee a Business Development Manager. Frequent travel required.

Seeking a Senior Full-stack Developer for a nuclear power project. Responsibilities include leading development, mentoring engineers, and building user-focused products.

The Senior Product Owner leads agile teams in managing product backlogs, writing detailed user stories, and ensuring quality and timeliness during software development.

The Senior Tech and Platform Partnerships Manager will design, launch, and operationalize an app partner program emphasizing AI, automation, and partner innovation, acting as a bridge between product and partnerships while ensuring program success and scalability.

Lead and build end-to-end talent acquisition for clinical roles: establish recruiting tech and playbooks, run outbound and inbound sourcing, create hiring analytics and capacity plans, partner with clinical and operations to improve quality, speed, and scalability.

Work with product and engineering teams to analyze large datasets, build and deploy machine learning and statistical models, develop data pipelines and mining frameworks, generate predictive insights, and present actionable recommendations. May require nights/weekend availability and independent judgment.