Top Tech Jobs & Startup Jobs in NYC, NY

Lead Agile Release Train execution across complex technology portfolios, including PI Planning, ART events, dependency management, release planning, metrics, and continuous improvement. Coach Scrum Masters, Flow Masters, teams, leaders, and stakeholders on SAFe and Lean-Agile practices. Drive strategic alignment, data-informed delivery decisions, Responsible AI governance, risk management, and organizational agility across value streams.

Leads automation and process improvement across the financial index governance lifecycle. Designs production applications, workflows, and data pipelines using Python, Databricks, SQL, and automation platforms. Manages data ingestion infrastructure, methodology databases, and Power Automate flows while partnering with stakeholders to solve business problems. Drives strategic projects, process reengineering, and operational improvements that enhance efficiency, data quality, and business continuity.

Leads the design, development, support, and performance tuning of Java/J2EE web applications and backend systems. Provides technical guidance, mentors developers, interfaces with databases using SQL and PL/SQL, troubleshoots issues, participates in code reviews, and collaborates with business and IT stakeholders. The role spans the full software development lifecycle and may involve microservices, cloud services, CI/CD, automation, and financial data systems.

Leads the design, development, testing, and deployment of scalable Java applications and distributed systems for an indices prototyping platform. Responsibilities include building microservices, using AWS cloud services, implementing containerization, improving performance and reliability, developing user interfaces, fixing defects, maintaining code quality and automation, and mentoring junior engineers.

Lead the design, development, and deployment of scalable machine learning and generative AI solutions. Partner with stakeholders, data scientists, and software engineers to build AI platforms, tooling, agents, and autonomous workflows. Analyze large datasets, optimize and fine-tune models, apply emerging AI technologies, and establish reusable capabilities and technical standards across the organization.

Leads product strategy, roadmap execution, and lifecycle management for S&P Global’s Credit Analytics and RiskGauge products. Oversees AI-ready data and model strategy, PI Planning within SAFe, cross-functional delivery, product operations, support functions, and stakeholder feedback. Manages Product Owners and product operations staff while driving roadmap prioritization, delivery outcomes, and growth across credit risk analytics platforms, APIs, data feeds, and enterprise products.

Develops regional channel strategies, manages partner relationships, recruits and onboards new partners, and drives partner-sourced pipeline and revenue. Collaborates with Sales, Marketing, and leadership on joint go-to-market plans, campaigns, events, webinars, and enablement. Maintains CRM records and pipeline visibility while meeting revenue targets.

Leads S&P Global’s enterprise digital assets and tokenization strategy, prioritizing and funding initiatives across divisions. Drives projects from exploration to production, builds external partnerships, develops commercial models, manages governance and regulatory alignment, and advises senior leadership. Leads a small team while influencing stakeholders across a global matrixed organization.

Leads development of scalable fixed-income calculation engines and analytics services. Designs distributed systems, drives architecture and modernization, ensures reliability, auditability, data lineage, reconciliation, and performance. Develops AI/ML integrations, mentors engineers and quantitative developers, leads code-quality practices, and collaborates cross-functionally in Agile delivery. Requires deep Java, enterprise frameworks, cloud, distributed systems, database, AI engineering, and fixed-income analytics expertise.

Provide legal counsel on DeFi, digital assets, tokenization, and blockchain initiatives; draft, negotiate, and advise on complex commercial agreements and data licensing; evaluate protocols, oracle networks, and tokenized market models; support regulatory compliance, RFP responses, customer due diligence, and cross-functional product and commercial teams.