Top Tech Jobs & Startup Jobs in NYC, NY

Leads the global contingent workforce strategy, governance, lifecycle management, supplier ecosystem, compliance, budgeting, technology, analytics, and continuous improvement. Oversees MSPs, staffing suppliers, independent contractors, and statement-of-work engagements while managing labor spend, rate cards, supplier performance, worker classification, co-employment risk, and audit readiness. Partners with HR, Procurement, Legal, Finance, IT, Risk, and business leaders, and leads the contingent workforce team and executive reporting.

Leads enterprise AI transformation strategy by identifying high-value opportunities, diagnosing workflows, defining KPIs, establishing baselines, modeling financial impact, developing business cases, and measuring realized value. Partners with senior leaders, Finance, Technology, Data, HR, and business owners to prioritize investments, challenge assumptions, evaluate pilots, and create executive recommendations. Builds repeatable frameworks and enterprise-level views of AI value, risk, dependencies, and performance.

Research and interpret auditing and financial reporting standards for publication in a professional research database. Develop analytic content, summaries, guidance, news articles, and white papers; monitor industry developments; respond to customer inquiries; review content quality; support product enhancements and marketing initiatives; and maintain expertise in accounting, auditing, and financial reporting.

Leads enterprise product strategy and transformation initiatives across product, engineering, design, and business teams. Develops and scales AI-enabled and agentic product development practices, leads lighthouse engagements, coaches product leaders, improves operating models and governance, and establishes metrics for enterprise adoption. The role influences product direction and organizational effectiveness without formal authority and requires approximately 35% travel.

Leads enterprise data science, analytics, AI, and GenAI strategy across products and platforms. Owns production system quality, data integrity, explainability, validation, monitoring, and audit readiness in regulated environments. Partners with Product, Engineering, IT, and business leaders to deliver scalable solutions, data monetization, and strategic integrations. Builds and mentors senior data science talent while ensuring commercially viable, risk-aware outcomes.

Leads strategic financial planning, advanced financial analysis, financial modeling, regulatory compliance, executive reporting, and performance management across multiple departments. Oversees senior finance professionals and managers, develops organizational financial strategies, partners with executives on major financial decisions, and drives initiatives that improve business and financial outcomes.

Drive enterprise SaaS growth by sourcing and closing new business, managing complex sales cycles, exceeding quotas, nurturing executive relationships, identifying process gaps, demonstrating solutions, and collaborating with marketing, sales development, sales engineering, customer success, professional services, and legal teams.

Supports medical education and practice editorial teams by maintaining product and customer-facing documentation, coordinating schedules, contracts, invoices, budgets, vendors, authors, and editorial assignments. The role also assists with content development, research initiatives, surveys, SOP implementation, product records, customer support requests, and cross-functional meetings. Success requires strong organization, communication, analytical ability, Excel skills, adaptability, and attention to quality.

Drive new business for Brightflag by sourcing and closing mid-market enterprise SaaS deals. Build stakeholder relationships, collaborate with Sales Engineers and cross-functional teams, navigate complex sales cycles, and exceed revenue quotas while representing the product at conferences and client meetings.

Build, integrate, test, and deploy healthcare technology prototypes and product extensions for strategic customers. Translate clinical and operational problems into measurable use cases, working software, and scalable product capabilities. Apply healthcare interoperability standards, AI-enabled workflows, secure SDLC practices, observability, automated testing, and responsible AI principles. Collaborate with customers, Product, Engineering, clinical, security, privacy, legal, and compliance teams to validate outcomes and convert field learnings into reusable APIs, connectors, architectures, and roadmap priorities.