Top Tech Jobs & Startup Jobs in NYC, NY

Generate and qualify leads through cold calling, email outreach, networking, and research. Book appointments for senior sales staff, develop the sales pipeline, manage leads, analyze lead sources, and nurture prospective client relationships. Provide market intelligence, support client strategies, collaborate across teams, and ensure engagement aligns with Unispace’s brand. The role focuses on B2B business development for commercial design-build and workplace projects, with an expectation to work in the New York studio four days per week.

Sell broadcast and digital advertising by prospecting businesses, presenting tailored solutions, managing agency and direct accounts, closing pending opportunities, and meeting sales budgets. Maintain client relationships, provide customer service, obtain credit approvals, support collections, prepare forecasts and orders, and collaborate on promotional solutions. Attend client events, meetings, and training, including occasional evenings and weekends. Maintain knowledge of advertising rates, promotions, inventory, audiences, and industry trends.

Design, implement, and maintain data pipelines, integrations, and data architecture using Snowflake and related tools. Support insurance-sector consulting engagements by analyzing data, developing solutions, troubleshooting engineering issues, and presenting recommendations to clients. Collaborate with cross-functional stakeholders, apply data governance and quality practices, and contribute to multiple initiatives. The role requires consulting experience, financial services knowledge, strong communication, and travel of up to 75%.

Manage sales growth across the New York and New Jersey territory by developing distributor and contractor relationships, prospecting accounts, executing sales strategies, and achieving performance objectives. Conduct hands-on HVAC product demonstrations and technical training in shops, at job sites, and distributor locations. Maintain CRM records, monitor pricing and competition, attend industry events, and travel approximately 50% with overnight travel.

Drive consultative sales of IT products, professional services, and managed services across infrastructure, security, cloud, and platform engineering. Build and maintain client and partner relationships, identify and qualify prospects, forecast sales, develop proposals and RFP responses, negotiate pricing and contracts, and achieve gross profit and sales quota targets. Translate technical solutions into business value while collaborating with sales leadership and internal delivery teams.

Analyze data using SQL within financial services, with a focus on Anti-Money Laundering (AML). Candidates must be local to New York City and available for a two-month contract, with phone and in-person interviews. Experience or knowledge of FCRM is a plus.

Provides administrative and reception support for the New York team, including travel coordination, meeting and conference room scheduling, invoice and expense processing, Workday assistance, visitor reception, event planning, courier and mail coordination, office supply inventory, and general office upkeep. Requires strong organization, communication, numerical accuracy, responsiveness, and proficiency with Microsoft Office and Workday.

Lead global entity management and corporate governance activities across domestic and international subsidiaries. Responsibilities include entity formations, registrations, statutory filings, governance documents, board support, powers of attorney, apostillization, M&A due diligence, licensing, compliance reporting, and coordination with internal teams, outside counsel, registered agents, and regulatory agencies. The role also improves entity-management processes, maintains procedures and data quality, and supports development of the company’s legal and compliance function.

Manage client relationships, provide technical support, and lead end-to-end data product implementations. Drive data quality, customer adoption, customizations, and new product development across pricing, ecommerce intelligence, and supply chain analytics. Collaborate with data science, engineering, and sales teams while developing data pipelines, visualizations, documentation, and platform capabilities. Train employees and help customers generate value from data products.

Build and maintain production AI/ML applications, backend services, data pipelines, and machine learning models. Develop agentic AI systems, LLM and RAG solutions, and MLOps capabilities including monitoring, versioning, A/B testing, and retraining. Collaborate with product, software, platform, and data teams to deliver reliable, explainable, and performant AI solutions for financial markets.