Top Tech Jobs & Startup Jobs in NYC, NY

Generate and close rental and sales opportunities for modular buildings by building relationships with customers and partners, managing estimates and project execution, meeting sales quotas, and ensuring excellent customer service across the project lifecycle.

Source and engage passive candidates for current and anticipated roles across digital media, commerce, creative, analytics, strategy, client leadership, and agency operations. Build talent maps and pipelines, conduct outreach, provide market intelligence, maintain candidate relationships, and partner with People and hiring leaders to refine hiring profiles. This fractional recruiter works independently and represents Code3 credibly to prospective talent.

Develop and maintain automated data pipelines, API-driven workflows, and data integrations using Python, SQL, Databricks, and data lake architectures. Improve data quality through validation, schema design, and provider data mapping across diverse sources. Build analytics-ready datasets for predictive analysis, Power BI reporting, and GIS-based access analyses. Document data flows and technical configurations, support knowledge transfer, and collaborate with analysts, product owners, contractors, and government stakeholders.

Designs, schedules, publishes, and monitors social media content across Instagram, X, and TikTok. Creates graphics, templates, carousels, and light motion content; engages with the audience; maintains brand consistency; adapts content for timely moments; reviews performance in Sprout Social; and collaborates with marketing on content calendars and campaigns.

Owns full-cycle new client acquisition for HR managed services, converting inbound marketing and channel leads while prospecting outbound net-new business. Responsibilities include discovery, consultative selling, presentations, proposals, negotiations, CRM management, pipeline forecasting, and coordinating client handoffs. The role requires proven success selling PEO or HR managed services to business owners and HR executives, meeting revenue targets, and collaborating with marketing, partners, implementation, HR, and client services teams.

Execute and elevate Onit’s organic social presence, particularly on LinkedIn, through editorial calendar management, social-first content creation, executive thought leadership, brand voice governance, storytelling, social listening, performance analysis, testing, and cross-functional campaign collaboration.

Plan and execute conferences, vendor webinars, internal events, and virtual programs from start to finish. Coordinate venues, booths, vendors, speakers, travel, registration, communications, budgets, contracts, timelines, and on-site logistics. Partner with marketing and sales to support pipeline and community goals, then track attendance and event performance. The role requires managing multiple events simultaneously while building Hudu’s presence in the MSP and IT community.

Leads product marketing strategy across a multi-product portfolio, including team management, positioning, messaging, launches, pricing, packaging, customer feedback, content, competitive intelligence, and sales enablement. Partners with product, sales, customer success, demand generation, finance, and executives to drive adoption, pipeline, and revenue. The description also includes accounts payable, reconciliation, payment processing, month-end close, and NetSuite migration responsibilities.

Monitor and investigate security alerts across SIEM, EDR, identity, network, email, and cloud platforms. Triage threats, support incident response, analyze logs, manage vulnerabilities, tune detection rules, and coordinate with IT teams and external MDR providers. Maintain incident documentation, develop operational metrics, participate in exercises, and improve cybersecurity workflows through automation, scripting, and emerging technologies.

Build and maintain computer vision and machine learning pipelines for automated device inspection, grading, and quality assessment. Responsibilities include data preparation, feature engineering, model training and evaluation, production Python development, monitoring, annotation workflows, documentation, code reviews, and collaboration with product and operations teams. The role supports the full ML lifecycle and offers increasing ownership under senior engineering guidance.