Top Tech Jobs & Startup Jobs in NYC, NY

Reviews and analyzes commercial insurance submissions, quote revisions, bind reviews, endorsements, and policy updates within delegated authority. Communicates with underwriters, agency partners, and internal teams; verifies business information; identifies risk concerns; requests additional details; and supports accurate, timely policy processing. Maintains knowledge of workers’ compensation and commercial auto coverage, forms, ratings, and manuals while managing high-volume work across multiple states.

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Lead go-to-market strategy for Sprout Social’s AI portfolio, including the Trellis AI agent. Develop enterprise launch playbooks, positioning, executive messaging, campaigns, and enablement programs. Analyze market and competitive dynamics, influence product roadmaps, improve launch processes, and partner with Product, Sales, Revenue, Brand, and executive leadership to drive adoption, revenue growth, deal expansion, and category leadership. The role also mentors marketing team members and operates with substantial autonomy.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Coordinates field, event, and partner marketing programs, including trade shows, conferences, webinars, regional events, sponsorships, and co-marketing campaigns. Manages stakeholders, vendors, venues, budgets, logistics, communications, and on-site execution. Supports marketing reporting and metrics covering registrations, attendance, campaigns, and events while collaborating with sales, finance, legal, and external partners.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.