Top Remote Jobs in NYC, NY

Lead and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

Lead field-facing AI security strategy for enterprise accounts: architect AI security solutions, deliver demos/POVs, advise on LLM/RAG/agent risks, scale enablement assets, and feed product roadmap with customer feedback to securely enable enterprise AI adoption.

Lead ThreatLabz research engagement and messaging: translate threat telemetry into compelling content, orchestrate launches with cross-functional teams, build information-sharing partnerships, and enable sales with intelligence-driven assets to drive authority and market leadership.

Enterprise Account Executive responsible for building C-suite relationships, creating long-term account strategies, collaborating with internal teams, and acting as a trusted advisor to drive cloud security adoption and close net-new enterprise deals.

Design, build, and scale foundational platform services to ingest, process, and route internet-scale security events. Develop fault-tolerant microservices, CI/CD and DevOps tooling for detection-as-code, evolve unified detection management, drive observability and policy features, mentor engineers, and collaborate cross-functionally to deliver real-time detection generation.

The role involves leading backend engineering efforts to build scalable distributed systems, enhance APIs, and troubleshoot production issues. Candidates should possess expertise in backend languages and cloud engineering principles.

Design, build, and scale core backend platform services that ingest, process, and route security events. Architect the Detection Content Management Platform and CI/CD tooling, implement fault-tolerant microservices (Go/Java/Python), mentor engineers, and drive features for policy, observability, and real-time detection across CrowdStrike products.

Build and scale Datadog's partner ecosystem across North America by recruiting CSPs, MSPs, SIs, and resellers; enable and activate partners via training and joint GTM; coordinate technical and marketing launches; drive partner-sourced pipeline and revenue; run partner performance reviews; serve as regional sponsor for key cloud alliances and own regional channels metrics.

The Security Sales Engineer will support the enterprise sales team, drive security product adoption, conduct demos, and provide technical support throughout the sales cycle.

Deliver Dynatrace-based services including deployment, onboarding, training, monitoring, troubleshooting, dashboard/reporting, and managed services. Serve as product expert and trusted advisor to optimize application performance, support adoption, document engagements, and identify new opportunities for customers.

The Senior Director oversees Cloud Native Specialists, driving strategies for Kubernetes, managing teams, and scaling operations while ensuring competitive advantage and customer solutions.

Own the full outbound sales cycle for mid-market merchants: build pipeline through cold outreach and campaigns, develop multi-product Square solutions, run discovery, demos, and negotiations, manage forecasting in Salesforce, collaborate cross-functionally, and consistently hit revenue targets.

The Regulatory Program Owner will manage broker-dealer compliance functions, oversee communications reviews, support compliance advisory, and enhance processes using AI tools.

Define portfolio positioning and messaging for Open Finance and Developer Experience, lead go-to-market and launch execution, build sales enablement, drive integrated campaigns, provide market intelligence, manage agencies and measure GTM performance to grow adoption and revenue.

Lead payer-facing commercial efforts: own market and buyer analysis, prioritize partners, develop deal content and executive briefings, drive negotiations and recurring external relationships, and use AI tools to inform and validate recommendations while reporting to a Managing Principal.

Lead the DAM product for global marketing: define vision and roadmap, gather customer requirements, prioritize features, coordinate Agile delivery, align stakeholders, measure platform usage, enable rights/licensing and AI integrations, and drive adoption across marketing, agencies and technical teams.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.