Top Tech Jobs & Startup Jobs in NYC, NY

Generate qualified pipeline through account research, cold calling, personalized email, LinkedIn outreach, and social selling. Qualify inbound and outbound leads, conduct discovery calls, book meetings for account executives, and provide smooth handoffs. Own activity KPIs and pipeline targets while collaborating with Sales and Marketing to improve messaging and outreach. Maintain product and industry knowledge in a fast-moving AI startup environment.

Drive new business growth within the Brooklyn territory by prospecting, generating leads, presenting solutions, understanding customer needs, developing sales strategies, negotiating terms, and closing deals. The role requires B2B sales expertise, logistics knowledge, strong communication and presentation skills, cross-functional collaboration, willingness to travel, and a results-oriented approach.

Conduct macroeconomic and market research, synthesize findings into investment memos, and develop Python-based investment systems. Support portfolio construction, diagnostics, global investment collaboration, and process improvements. The role requires strong statistics, coding, analytical reasoning, macroeconomics, investing knowledge, curiosity, initiative, and the ability to communicate complex topics clearly. This internship runs during summer 2027 and requires in-office presence in New York City.

Develops institutional sales growth and retention across the Northeast by managing strategic relationships with retirement and investment consultants. Executes territory plans, prospecting, consultant engagement, positioning, opportunity management, and compliance processes. Advises senior stakeholders on Vanguard investment capabilities, monitors market and regulatory developments, and mentors junior sales professionals. Requires extensive institutional financial services sales experience, retirement investment expertise, FINRA licensing, and travel of at least 60%.

Provides business operations analysis supporting efficiency, revenue performance, sales planning, forecasting, and operational scalability. Builds dashboards and reporting tools using Excel, SQL, and Google Sheets; analyzes KPIs, pipeline, bookings, and revenue trends; translates ambiguous business questions into actionable recommendations; supports process improvement, data governance, and cross-functional initiatives; and presents findings to stakeholders and leadership.

Design, build, scale, and maintain backend services for a core banking system using Go, asynchronous workflows, and distributed databases. Develop highly available and secure services, collaborate with operations and infrastructure teams, deploy and monitor cloud-based systems, and debug, test, document, and optimize code. Use AI coding assistants to rapidly implement services and contribute to fintech infrastructure improvements.

Supports FAIR program areas through administrative and project work, policy and cultural research, drafting memos and correspondence, preparing event and communications materials, participating in team meetings, and completing special projects under the CFO/COO. The internship provides exposure to nonprofit operations, leadership decision-making, mentorship, and professional networking.

Leads competitive and market intelligence supporting strategy, business development, transactions, and investment analysis. Builds public-company financial models, including DCF, accretion/dilution, and comparable-company analyses. Produces competitor profiles, industry research, business cases, executive presentations, and strategic recommendations while partnering with finance, product, strategy, and leadership teams. The role also supports due diligence and evaluates market opportunities, strategic targets, and competitive positioning.

Identify customer workflows suitable for automation, serve as the primary customer contact, partner with forward-deployed engineers on integrations, coordinate training, deliver demos, and present results to strategic audiences. The role combines customer-facing solution implementation, technical problem-solving, AI/ML understanding, backend programming, and product feedback. Travel up to 50% is required for deployments and customer engagements.

Supports securities reference data management through validation, reconciliation, quality checks, onboarding, maintenance, discrepancy investigation, system testing, and process improvement. The intern collaborates with Data Management, Technology, Product, and Operations teams while gaining exposure to financial markets, large datasets, data platforms, Excel, SQL, Python, and AI-enabled automation.