Top Tech Jobs & Startup Jobs in NYC, NY

Provides Tier 1 production support for enterprise applications, point-of-sale systems, databases, ETL processes, SSIS packages, data loads, and related platform components. Responsibilities include incident triage, troubleshooting, monitoring, ticket documentation, dealer communication, escalation, deployment support, health checks, knowledge-base maintenance, and preventive problem analysis. The role collaborates with development, DevOps, database, and platform teams to resolve incidents and improve support processes.

Provides Tier 1 production support for enterprise applications, point-of-sale systems, databases, ETL jobs, and data integrations. Troubleshoots incidents using logs, metrics, traces, and SQL; monitors platform health; documents resolutions; communicates with dealers and internal stakeholders; escalates complex issues; supports testing, deployments, configuration changes, and preventive improvements. Maintains knowledge articles and helps users resolve common operational issues.

Develops and supports logistics solutions throughout the sales cycle. Assesses prospects’ supply chains, documents current and future states, analyzes data, coordinates cross-functional teams, designs transportation and TMS solutions, develops pricing strategies, and supports presentations and technology demonstrations. Requires consultative selling, supply chain expertise, project management, client communication, and the ability to manage complex solutions for senior decision-makers.

Own and scale Cobalt’s B2B SaaS go-to-market technology ecosystem, including Salesforce, HubSpot, customer success platforms, integrations, data enrichment, governance, workflow automation, and AI-enabled solutions. Translate business requirements into scalable systems across Marketing, Sales, Customer Success, and Revenue Operations. Manage architecture, data quality, monitoring, permissions, releases, documentation, and technical initiatives from design through optimization.

In this role, you'll maintain a professional office environment, support operations, manage meetings, handle mail, and assist with proposals and CRM data.

Manage a caseload of toxic tort and civil litigation claims through trial preparation, including defense strategy, discovery analysis, depositions, hearings, mediations, legal research, investigations, and motion practice. Draft briefs, memoranda, discovery, and client updates while managing competing priorities and strict deadlines. The role requires active New York licensure, substantial deposition experience, and strong organizational, independent, and teamwork skills.

Own Bastion’s brand positioning, messaging, visual identity, press, executive visibility, industry relationships, and targeted campaigns. Build the communications function from scratch, establish market presence, secure press and speaking opportunities, improve digital channels, and align communications with Product, Legal, Compliance, and Commercial teams. Measure success through qualified inbound leads and influenced pipeline while operating independently with AI tools and contractors.

Leads U.S. delegated underwriting authority operations across MGA, program administrator, and agent relationships. Owns appointment, sanctions screening, due diligence, procedures, policy lifecycle workflows, transaction logging, audits, quality reviews, compliance, and remediation. Partners with underwriting, compliance, legal, claims, IT, and external stakeholders to build scalable controls and ensure regulatory compliance across jurisdictions.

Manage strategic relationships with global hyperscale data center clients, including renewals, commercial negotiations, service implementation, issue resolution, reporting, audits, and account growth. Oversee project scope, schedules, risks, and cross-functional resources while advocating for customers and coordinating operational delivery. The role requires data center infrastructure knowledge, strong communication, escalation management, and project leadership. This is a remote position with 10–15% travel for customer meetings.

Develop and deploy machine learning models for manufacturing use cases including predictive quality, machine failure prediction, and time-series pattern discovery. Work directly with customers to scope problems, validate solutions in live deployments, and translate successful analyses into product features. Collaborate with engineering, product, and customer success teams while applying statistics, optimization, generative AI, and agentic AI to deliver end-to-end solutions.