Top Engineering Manager Jobs in NYC, NY

Lead the Data Streaming engineering sub-team responsible for reliable, scalable ingestion, normalization, and routing of cybersecurity telemetry. Manage and grow a 6–7 engineer team, establish SLOs and on-call processes, maintain schemas and data contracts, improve pipeline reliability and scalability, and collaborate with Security Research, Database Platform, and Asset Inventory teams. The role requires hands-on expertise with streaming architectures, cloud-native operations, data quality, and pipeline observability.

Lead a 6–7 person engineering team responsible for building, shipping, and maintaining production-grade integrations with security platforms such as CrowdStrike, SentinelOne, Splunk, and ServiceNow. Own the integration product roadmap, API contracts, reliability, compatibility, certification pipeline, and upstream change management. Partner with customer success, security research, and partnerships teams while hiring and developing engineers. The role requires hands-on technical expertise in Go or Python, enterprise authentication, event-driven architectures, AWS serverless services, and security data normalization.

Lead a software engineering team building Claude APIs, agent infrastructure, SDKs, documentation, and developer tools. Own planning, prioritization, delivery, operational health, hiring, coaching, and performance management. Partner with Product and customers to shape the roadmap, guide distributed-systems architecture and API design, and collaborate with Research, Safeguards, Security, and go-to-market teams to deliver reliable AI capabilities safely.

Leads and develops teams of 10–15 software engineers, partners with stakeholders on application priorities and roadmaps, and ensures scalable, high-performance, maintainable software delivery. Oversees quality, continuous delivery, automated testing, Agile practices, and engineering team growth. The role requires hands-on technical judgment, leadership communication, and adoption of AI-enabled development tools. This is a hybrid position based in the DC or NYC office.

Lead a backend engineering team building and maintaining reliable microservices that power Fubo’s streaming experience. Responsibilities include system design, coding, code reviews, technical mentorship, prioritization, reliability and performance ownership, AI-enabled development improvements, recruiting, and cross-functional collaboration. The role requires hands-on leadership of distributed systems, APIs, CI/CD, observability, testing, and cloud-native infrastructure.

Lead a team of 4–7 engineers responsible for planning, delivery, reliability, hiring, performance management, and technical execution. Partner with Product on roadmaps, scope, sequencing, and trade-offs. Oversee production systems, testing, observability, on-call, incident response, and adoption of AI coding tools. The role requires technical credibility, strong people-management experience, end-to-end software delivery, and experience with cloud platforms and the listed technology stack.

Manage the Loans Lifecycle software engineering team at Affirm. Set technical strategy, lead delivery of business-critical projects, ensure system reliability and operational readiness, establish quality standards, collaborate with product and analytics teams, and coach engineers. The role focuses on highly available distributed financial systems and audit-grade ledger technology using backend technologies including Python, Kotlin, AWS, MySQL, Spark, and Kubernetes.

Lead the engineering team responsible for Fanatics’ shared balance and ledger platform. Oversee secure, reliable, auditable services handling customer funds; guide wallet migrations, reconciliation, and rollback planning; define technical roadmaps; and maintain operational excellence. Hire, coach, and develop engineers while partnering with Product, Finance, Legal, Compliance, Payments, and executive stakeholders. Drive architecture, incident reviews, scalable delivery, and resolution of technical and regulatory risks.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Leads the Supabase Spark engineering team by developing people, managing hiring, owning roadmap delivery, coordinating cross-team requests, maintaining service objectives, and handling incidents. The role requires technical credibility in backend and database systems, experience managing remote engineering teams, strong performance management skills, and the ability to build high-trust, asynchronous, globally distributed teams.

Lead Headway’s Web Platform team of five frontend engineers. Own frontend strategy, design systems, web architecture, accessibility, performance, testing, and agentic UI workflows. Hire and develop engineers, manage performance, align with Design and product teams, define roadmaps and metrics, and advocate for frontend standards company-wide. Remain hands-on with code and AI tools while evolving shared frameworks, tooling, documentation, and automated quality checks.

Lead a hands-on engineering team building and shipping features for a modern trucking transportation management system. Partner with Product and Design to shape roadmaps, contribute to Ruby on Rails and React development, mentor engineers, maintain engineering quality, understand customer workflows, and deliver improvements quickly in a fully remote environment.

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.

Lead a senior engineering team building customer-facing products, AI-powered analytics, and infrastructure. This hands-on manager will guide architecture, product execution, engineering practices, team growth, and AI-enabled software development. The role requires strong technical judgment, ownership, autonomy, and experience leading senior engineers in a high-trust environment.

Leads KBRA’s Business Applications function, owning enterprise SaaS strategy, governance, lifecycle management, integrations, identity access, operational support, and application modernization. The manager administers platforms such as Microsoft 365, Slack, Zoom, Box, and Atlassian; configures Entra ID SSO and provisioning; manages vendors and escalations; develops roadmaps and metrics; partners with business and technology stakeholders; and mentors a small team while remaining hands-on in engineering, troubleshooting, automation, and project delivery.

Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.

Lead the Methods and Insights engineering teams, overseeing hiring, coaching, performance management, delivery, operational health, architecture, and developer experience. Partner with product leaders and founders to sequence work, manage risk, improve engineering processes, and ship reliable systems. Build AI-agent development practices, shared components, CI gates, conventions, and harnesses that help engineers move quickly while maintaining quality.

Lead 2-3 product engineering teams to build and maintain a reusable UI platform. Set technical direction for micro-frontends, React/TypeScript standards, Module Federation, shell SDKs, CI/CD, and integration with backend services. Drive execution through sprint planning, code reviews, hands-on contributions, and partnership with product and design to deliver secure, accessible, and scalable product experiences.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Leads the engineering team responsible for Oracle HCM architecture, integrations, enhancements, production support, security, and transformation delivery. Owns roadmap prioritization, technical standards, operational reliability, vendor management, and stakeholder communication across recruiting, payroll, benefits, onboarding, and other HCM functions. Manages distributed engineering teams, implementation partners, incident response, testing, cutover, and post-launch stabilization while ensuring data privacy, SOX compliance, documentation, and scalable engineering practices.

Leads and develops engineering teams while remaining hands-on in production coding, architecture, design reviews, and technical decisions. Establishes engineering standards, owns system architecture, manages technical debt, partners with Product and Operations, and advances AI-native development practices through agent deployment and evaluation frameworks. The role also supports hiring, engineering culture, roadmap prioritization, and the delivery of healthcare technology systems.

Leads and mentors software engineering teams while remaining 20–30% hands-on with coding, debugging, APIs, architecture, and scalable platform services. Coordinates engineering, product, quality, SRE, security, and operations teams to deliver reliable SaaS software. Owns technical direction, roadmap influence, incident management, operational excellence, KPIs, resource allocation, hiring, performance management, and continuous improvement across globally distributed teams.

Lead a cross-functional advertising engineering squad of backend and iOS engineers. Partner with Product and Design to discover, prioritize, and deliver consumer-facing ad experiences through experimentation. Manage backlog health, technical debt, delivery quality, and team ceremonies while coaching engineers and fostering an empowered, high-trust team. Support scalable, maintainable mobile applications and navigate privacy, consent, and advertising requirements.