Top Tech Jobs & Startup Jobs in NYC, NY

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.

Software engineering interns contribute to production features, APIs, services, machine learning applications, data ingestion pipelines, and platform infrastructure. They participate in code reviews, deployment, observability, infrastructure as code, and engineering best practices while collaborating with experienced teams. Interns also receive opportunities for technical learning and cross-team exploration. The role requires algorithmic knowledge, software development experience through projects or open source, adaptability, and strong coding, documentation, and communication skills.

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.

Develop and deploy machine learning solutions for generative AI platforms, LLM-powered applications, and AI toolkits. Interns will solve agentic design and LLM orchestration challenges, prototype and evaluate models, develop pipeline components, and support deployment across the ML lifecycle. The role involves collaboration with ML engineers, product managers, designers, and full-stack engineers, with mentorship and opportunities to work on scalable, production-ready systems.

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.

Owns the roadmap for a Private Markets product area, including vision development, feature prioritization, user stories, requirements, and product documentation. Leads and coaches an agile scrum team while partnering with Engineering, Testing, UX, Marketing, Implementation, and Sales. The role focuses on delivering B2B SaaS solutions for private equity, credit, venture capital, real estate, and other institutional investment managers.

Own the roadmap for a Private Markets product area, including a 6–12 month vision, feature prioritization, user stories, requirements, and product documentation. Lead and coach an agile scrum team through delivery and quality improvements. Collaborate with Engineering, Testing, UX, Marketing, Implementation, and Sales to align product development with client needs, business priorities, and Private Markets strategy.

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.