Top Tech Jobs & Startup Jobs in NYC, NY

Leads global AI integration across software engineering platforms and manages distributed engineering leaders across three countries. Drives adoption of AI-assisted development tools, modernizes software delivery workflows, oversees security and compliance, and integrates AI into React, .NET, Java, Salesforce, and MuleSoft platforms. Requires extensive software development and senior engineering leadership experience, plus expertise in cloud, SaaS architecture, privacy, tenant isolation, and enterprise AI transformations.

Leads the enterprise Identity Governance and Administration engineering team, setting technical strategy for SailPoint Identity Security Cloud, identity lifecycle management, access governance, provisioning, certifications, and non-human identity controls. Oversees platform architecture, migrations, integrations, automation, DevSecOps, infrastructure as code, application onboarding, compliance, and operational reporting while partnering with security, cloud, architecture, application, and business leaders.

Own revenue growth across the Southeast commercial banking territory by expanding existing client relationships and acquiring new logos. Responsibilities include consultative selling, prospecting, cross-selling, sales planning, forecasting, proposal development, pricing, negotiations, and coordinating solution implementation. The role partners with marketing, analytics, and technology teams, serves commercial lending clients, and reports to the VP of Sales. This is a remote position requiring Southeast U.S. residency and travel.

Manage and grow banking and retail accounts by developing sales forecasts, advancing pipelines, delivering complex data and software solutions, and expanding partnerships. The role requires executive-level selling experience in financial services, understanding banking risk and growth priorities, and collaborating across teams. This is a remote position requiring residence in the Southeast United States and approximately 40% travel.

Leads product design across Experian’s consumer credit, identity, marketplace, and financial services experiences. The role drives AI-native product transformation, creates personalized interaction models, owns design outcomes tied to business metrics, advances behavioral design and design systems, and builds and develops a multidisciplinary design organization. The Senior Director partners with executive leaders across Product, Technology, Engineering, Analytics, and Revenue while shaping consumer trust and product strategy.

Grow and manage strategic Financial Services advertiser relationships across North America, securing renewals, upsells, cross-sells, and new partnerships. Develop go-to-market strategies, manage a multimillion-dollar pipeline in Salesforce, advise clients on data and marketing solutions, collaborate with Customer Success, and provide market insights to inform product development. The role requires approximately 40% travel.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Leads global platform engineering for identity and access, portals, design systems, observability, monitoring, billing, and metering. Develops enterprise cloud and modernization strategy, establishes platform standards, drives adoption across business units, and oversees a 100+ person organization. Partners with senior executives globally to align shared platform investments with business outcomes, security, resiliency, innovation, and operational efficiency.

Leads product strategy and execution for strategic integrations across HCM, payroll, and related systems. Evaluates build, partner, integrate, and co-create opportunities; develops business cases; shapes scalable data connectivity; and drives discovery, prioritization, roadmaps, success measures, and delivery. Partners with alliances, technical teams, clients, and leadership to create integrated solutions and assess AI opportunities, including generative AI, LLMs, and agentic workflows.

Designs and evolves enterprise data and AI platform architecture, enabling privacy-preserving cross-border data products, entity resolution, semantic standards, governed discovery, and AI-agent data access. Leads prototyping, reference implementations, technology adoption, and platform architecture decisions across engineering teams. Mentors engineers while applying expertise in distributed systems, cloud infrastructure, data modeling, governance, graph databases, and production operations.