Top Tech Jobs & Startup Jobs in NYC, NY

Supports commercial credit underwriting and portfolio monitoring across the loan lifecycle. Reviews financial statements, tax returns, appraisals, credit reports, industry research, and market data; develops financial models, cash flow analyses, collateral schedules, covenant sensitivities, and risk ratings. Partners with relationship managers, recommends deal structures and risk mitigants, identifies emerging credit risks, presents findings to credit committees, and ensures compliance with credit policies and regulatory standards.

Analyzes compensation and workforce data; supports salary structures, market pricing, incentives, benefits, wellness, recognition, and compensation planning. Develops dashboards, reports, models, and recommendations for HR and business decisions. Partners cross-functionally on program administration, budgeting, audits, compliance, data quality, and process improvement while protecting sensitive employee information.

Own the end-to-end product strategy and roadmap for retention, post-purchase, and returning-customer experiences. Lead order tracking, returns, accounts, self-service support, personalization, experimentation, and checkout optimization. Manage a dedicated engineering and design group while partnering with platform teams, CRM, Retention, and external agencies. Define metrics, run A/B tests, analyze cohorts and funnels, and drive measurable improvements in repeat purchasing and customer engagement.

Leads Bombas’ consumer insights function, translating research, market signals, product testing, and sentiment data into recommendations for Product, Merchandising, Marketing, and Brand teams. Owns opportunity mapping, competitive and brand health reporting, research prioritization, QA and wear-testing standards, insights budgeting, vendor relationships, and real-time consumer signal deployment. Coaches the Insights Manager and influences senior leaders through evidence-based recommendations.

Leads operations, technology, data, workflow modernization, and execution for Markel’s US Wholesale & Specialty Insurance division. Owns the operating model, IT roadmap, AI-enabled underwriting workflows, broker service, operational efficiency, governance, and P&L-critical initiatives. Builds and mentors an integrated Operations, IT, and Data organization while coordinating with underwriting, claims, finance, HR, and senior leadership to improve productivity, service outcomes, growth, and profitability.

Prepare individual, fiduciary, partnership, nonprofit, and corporate tax returns; develop tax projections; research tax and accounting issues; communicate findings; and perform audit, review, and compilation procedures while preparing financial statements. The role serves varied clients and offers mentorship in a fast-paced hybrid environment requiring four office days weekly.

Build and operationalize production AI solutions for federal clients, from stakeholder discovery and architecture through evaluation, deployment, governance, monitoring, and optimization. Develop LLM applications using retrieval, structured outputs, tool use, and agentic workflows. Define quality metrics, create evaluation sets, document limitations, advise clients on AI use cases, and mentor engineers while contributing to reusable internal patterns and products.

Owns AI capabilities end to end, from stakeholder discovery and technical design through development, evaluation, deployment, monitoring, and documentation. Builds LLM applications using retrieval, structured extraction, tool use, and agent patterns; defines measurable quality criteria; balances accuracy, cost, latency, security, and complexity; supports client delivery and proofs of concept; and mentors engineers new to AI.

Build production-quality AI applications for federal clients and internal products. Responsibilities include gathering requirements, designing prompts and retrieval workflows, integrating APIs and data, creating evaluations, investigating failures, documenting limitations, and supporting proofs of concept and client demonstrations. The role requires client-facing communication, comfort with ambiguity, and the ability to translate business needs into working software.

Analyze large-scale financial datasets, develop statistical and machine learning models, extract business insights, and communicate technical findings to non-technical stakeholders. The intern will collaborate with data scientists, investment bankers, portfolio managers, and senior management while contributing to AI and data solutions across Lazard.

Ten-week quantitative research internship at Lazard Asset Management. The intern will develop quantitative investment models, analyze large datasets, apply machine learning and NLP techniques, collaborate with portfolio managers and developers, and present investment insights. Applicants must be rising undergraduate juniors graduating in 2029, available in New York City from June 7 through August 13, 2027, and authorized to work in the United States without visa sponsorship.

Ten-week institutional client group sales internship supporting client research, prospect prioritization, competitive analysis, client requests, and presentation updates. Interns work with sales representatives and associates to understand investment management products, industry trends, and client needs. The program includes mentorship, networking, training, and a capstone sales pitch or industry white paper. Candidates should demonstrate interest in investment management, markets, sales, and relationship management, along with strong communication, organization, analytical, and collaboration skills.

Build and lead Pangram Labs’ B2B growth strategy by defining ideal customers and qualified leads, generating demand through paid, SEO, content, events, and outbound channels, nurturing prospects, aligning with sales, and optimizing budgets based on pipeline, cost per lead, CAC, and ROAS.

Drive Cisco networking and security opportunities in a pre-sales Solutions Engineer role. Partner with account executives, understand customer requirements, design network solutions, lead RFP responses, conduct demonstrations and proof-of-concept labs, and present technical architectures to decision-makers. Maintain competitive and industry knowledge while collaborating with partners, portfolio teams, and Cisco business entities. Focus areas include routing, switching, wireless, security, automation, network segmentation, and cloud-based deployments.

Administers and optimizes Sage Intacct and related finance systems, including configuration, integrations, workflows, reporting, access controls, data integrity, testing, automation, and documentation. Partners with Finance, IT, vendors, and users to resolve issues, improve processes, support audits, deliver training, and strengthen scalable finance operations.