Top Tech Jobs & Startup Jobs in NYC, NY

Owns strategy, discovery, and implementation of an enterprise Fine-Grain Access Control solution for HR data. Defines future-state data access using Attribute-Based Access Control, partners with OneStream, OneLake, and Snowflake platform teams, and helps shape the People Data ecosystem strategy. The role focuses on data governance, security, compliance, scalable enterprise capabilities, cross-functional alignment, and protecting sensitive international workforce data.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and regulatory technology solutions. Designs service boundaries, APIs, reusable frameworks, and scalable systems using modern programming languages, databases, containers, and cloud platforms. Provides technical leadership across Agile teams, establishes engineering standards, mentors developers, drives refactoring and performance improvements, and influences long-term technology strategy. The role also involves troubleshooting cloud environments, improving observability, and advancing automation, testing, and infrastructure practices.

Build and operate foundational AI systems, including foundation-model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Lead architecture, optimization, reliability, and deployment of scalable AI platforms; improve GPU/TPU utilization, latency, throughput, and cost. Partner across engineering, research, product, and infrastructure teams, guide technical strategy, conduct deployment reviews, and mentor senior technical staff.

Leads the enterprise data access product team, defining vision and roadmap for centralized data access decisioning tools. Oversees access-control evolution across enterprise platforms for human users, AI agents, and application identities. Partners with data, security, governance, and policy teams to create unified access decisioning that supports least-privilege access, automated compliance, and real-time evaluation. Requires cross-functional leadership, customer-centered product management, technology strategy, and organizational alignment.

Build and architect native Android or iOS applications, shared libraries, and cross-platform mobile capabilities. Partner with product, design, infrastructure, and backend teams on roadmaps, CI/CD, observability, reliability, performance, accessibility, and release practices. Serve as a mobile subject matter expert, influence technical standards, develop AI-native workflows, and mentor senior engineers. The role requires extensive native mobile development and federated application architecture experience across multiple teams.

Leads product strategy and people management for enterprise architecture, cloud governance, service enablement, and policy-as-code platforms. The role drives secure cloud adoption, automated governance, architecture reviews, risk insights, developer velocity, and alignment across engineering, cybersecurity, risk, and executive stakeholders. The director will develop product managers, leverage AI-enabled automation, and establish measurable outcomes balancing regulatory compliance with rapid technology delivery.

Own the agentic analytics platform for Capital One Shopping’s AI Enablement team. Partner with engineers to build trusted AI products, govern enterprise data and metrics, define agent boundaries, validate system performance, prioritize stakeholder needs, and improve deployment efficiency. The role requires strong product leadership, data platform expertise, SQL proficiency, familiarity with modern data tools and AI agents, executive communication, and experience operating internal platforms or production deployments.

Build and deploy scalable generative AI platform services, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, reliability, and hardware utilization. Own complex system architecture, define reliability objectives, lead technical reviews, ensure security and compliance, and mentor senior technical staff.

Lead a product team building ML and GenAI infrastructure and model delivery for marketing and acquisitions. Define problem statements, set 3-year roadmaps tied to business outcomes, partner with data scientists and engineers, drive reusable scalable capabilities, influence cross-functional stakeholders, recruit and mentor talent, and measure success with data-driven metrics.

Leads multiple software engineering teams and defines enterprise technology strategy, architecture standards, and platform roadmaps. Partners with product and executive leaders to deliver scalable full-stack solutions, improve engineering practices, and ensure system resilience. Responsibilities include talent development, succession planning, architectural governance, Agile delivery, AWS deployments, and innovation involving distributed systems, machine learning, and agentic AI tools.