Top Tech Jobs & Startup Jobs in NYC, NY

Supports YETI specialty dealer accounts through inside sales, customer service, order and product assistance, account issue resolution, sales operations, case monitoring, and cross-functional coordination. Responds to customer inquiries, manages order and fulfillment updates, supports credit and account matters, and assists Sales Representatives with account execution. The role is remote but based in New York City and is suited to candidates with 0–2 years of inside sales, customer service, or sales support experience.

Support and enhance ICONIQ’s financial planning platform and data infrastructure. Build financial models, dashboards, reports, and analyses for forecasting, budgeting, resource allocation, profitability, and management reporting. Maintain time-tracking and allocation data flows, improve data quality and controls, automate manual processes, and partner cross-functionally to resolve data issues and deliver scalable planning solutions. The role also explores AI and emerging technologies to improve finance workflows.

Build and manage customer relationships within an assigned territory, prospect through cold calling, demonstrate products, grow new business, achieve sales quotas, plan customer visits, and maintain accurate sales activity records. The role requires travel between customer and company locations, use of a personal device under the BYOD policy, required insurance coverage, and execution of an employment agreement.

Design and maintain ETL workflows, data models, and pipelines supporting business intelligence and reporting. Work with Redshift, NoSQL, AWS, and data integration tools to ensure reliable, governed data. Build dashboards in Omni, Mode, and Mixpanel, analyze finance and accounting data, and partner with Finance, Product, Operations, and Engineering to translate business needs into actionable insights and promote data-driven decision-making.

Build and own full-stack treasury products from data model through user interface. Lead technical decisions, shape product direction with product partners, use AI-assisted development tools, and collaborate with a distributed engineering team in Tel Aviv. The role requires deep backend and frontend expertise, rapid product development experience, and ownership appropriate for a staff-level engineer.

Tuesday Lab is accepting applications for hardware, software, and product roles focused on developing delightful consumer robots. The company seeks passionate engineers, researchers, and builders, including outstanding interns, to help bring advanced robotics into homes. This is a fast-paced opportunity at a small company preparing to launch its products.

The Senior Sales Manager will generate and close wedding, catering, and social event business; negotiate proposals and contracts; manage room blocks and event details; conduct site visits; maintain client relationships; coordinate with hotel, banquet, culinary, reservations, and service teams; resolve guest concerns; achieve revenue goals; serve as Manager on Duty; and report production data to sales leadership.

The role description only states testing responsibilities and provides no additional details about duties, qualifications, work environment, or required technologies.

Provide technical pre-sales consulting to financial institutions by leading discovery workshops, designing enterprise solution architectures, delivering demonstrations and presentations, supporting PoCs and technical evaluations, and responding to RFPs and security assessments. Partner with sales, product, engineering, security, delivery, and consulting teams to position solutions, manage implementation risks, develop repeatable offerings, and advise customers throughout the sales cycle.

Own the full sales cycle for Longeye’s AI-powered investigative workspace, selling to police and sheriff’s departments. Responsibilities include prospecting, cold outreach, networking, referrals, product pitches, demonstrations, ROI-based selling, contract negotiation, and on-site customer training. The role requires building a pipeline independently, explaining AI technology to law enforcement leaders, and leveraging an existing public safety network to close contracts.