Top Tech Jobs & Startup Jobs in NYC, NY

Lead the design, development, deployment, and operation of production AI and ML systems. Build high-throughput Python services and Databricks pipelines, support traditional ML and LLM applications, establish testing and deployment standards, and develop monitoring for quality, reliability, latency, throughput, and cost. Partner with product, research, and responsible AI teams on governance and release criteria. Provide architectural leadership, conduct code reviews, mentor engineers, and resolve complex technical dependencies.

Oversee application security scanning, vulnerability remediation, and security-related release readiness while developing and maintaining full-stack Java web applications. Coordinate with IRS personnel, create remediation milestones, lead technical meetings, troubleshoot environments, review code, perform testing, and document technical solutions. The role requires extensive J2EE development, security tooling, CI/CD, OpenShift, mainframe integration, and vulnerability management experience in a federal environment.

Manage Microsoft Advertising campaigns end to end for US-based businesses, especially home service companies. Responsibilities include campaign strategy, keyword research, ad creation, audience targeting, bidding, budget management, conversion tracking, A/B testing, lead-quality optimization, reporting, and troubleshooting. The role requires expertise with Microsoft UET, Clarity, CRM integrations, automated bidding, and performance metrics such as CPL, CPA, ROAS, CTR, and conversion rate.

Leads cybersecurity architecture for software systems, cloud and on-premises infrastructure, and satellite ground-segment deployments. Develops security roadmaps, architectural blueprints, compliance solutions, and automated controls within Terraform and Helm. Assesses vulnerabilities, coordinates security implementation across engineering and infrastructure teams, documents systems, manages project risks, and translates regulatory requirements into engineering specifications. Requires extensive DevSecOps leadership, Kubernetes experience, security framework expertise, and eligibility for a U.S. security clearance.

Own a territory focused on closing new enterprise accounts with health systems and physician groups. Manage complex SaaS sales cycles, develop customized proposals and ROI analyses, engage C-suite stakeholders, forecast pipeline performance, and collaborate with Provider Success, Marketing, Analytics, and Implementation teams. The role targets organizations with over $100 million in revenue and requires strong healthcare enterprise sales expertise.

Lead sales growth across traditional finance and banking markets by selling complex digital-asset data, analytics, and compliance solutions. Responsibilities include managing the full sales cycle, developing institutional relationships, negotiating contracts, building pipelines, representing the company at industry events, providing market intelligence, supporting go-to-market planning, and connecting client requirements with engineering and product teams.

Develops and analyzes project schedules for sales, estimating, and proposal phases. Creates execution schedules, milestones, critical paths, resource forecasts, and schedule narratives; performs risk, sensitivity, and what-if analyses; aligns schedules with cost estimates and project assumptions; collaborates with business development, estimating, engineering, procurement, operations, and project management; and transitions approved proposal schedules into project execution.

Generates sales, market share, and profitability for veterinary compounding and technology products within an assigned book of business. Develops clinic relationships, executes sales plans, manages pipelines, conducts high-volume outbound calling, analyzes market and competitive data, and maintains customer and opportunity records in CRM tools. Achieves sales targets while building product knowledge and identifying growth opportunities.

Leads data engineering, Palantir Skywise architecture, and AI solution development for Airbus manufacturing and operational environments. Builds scalable pipelines, analytical workflows, machine learning and generative AI applications, and enterprise data foundations. Oversees Alteryx and Tableau platforms, establishes governance, mentors technical teams, translates business challenges into data products, and supports AI Center of Excellence initiatives. The role is onsite 60% across several U.S. locations and requires approximately 10% travel.

Support building and redesigning responsive, mobile-friendly websites; create wireframes and sitemaps; develop front-end UIs and assist with back-end tasks; optimize for performance, scalability, and SEO; participate in brainstorming, debugging, testing, and follow clean coding and version-control best practices under developer mentorship.