Top Tech Jobs & Startup Jobs in NYC, NY

Designs, implements, operates, and optimizes database and data-management systems supporting classified intelligence missions. Responsibilities include data architecture, SQL and NoSQL database administration, query and throughput optimization, ETL pipeline optimization, performance monitoring, capacity planning, documentation, backup and restore, audit logging, and continuity planning. The role requires onsite work in the Washington, DC region, U.S. citizenship, and a final Top Secret clearance with SCI eligibility or access.

Build and own Dia’s enterprise administration products, including the Admin Console, entitlement and provisioning APIs, identity and policy configuration, usage metering, commerce integrations, and Atlassian Admin Hub integration. Partner with platform and client engineers to deliver enterprise features across web and native clients, establish technical direction, and shape the enterprise roadmap in a high-ambiguity startup environment.

A general consideration application for GBQ, intended only for candidates specifically instructed by the HR team. Applicants should apply to a specific open position matching their qualifications and interests. GBQ participates in E-Verify.

Senior sales leader responsible for national account strategy and execution across Club, Mass, and Value channels. Leads National Sales Directors and field teams to drive revenue, profitability, forecasting, trade spend, and customer growth. Partners cross-functionally with Marketing, Finance, and Operations, manages key customer relationships and joint business plans, oversees recruiting and team development, and travels extensively to support customer engagement and execution.

Develop and manage a long-form video channel focused on Alaska, sustainable seafood, outdoor life, and culinary storytelling. Responsibilities include finding and researching stories, conducting pre-interviews, managing end-to-end production, directing shoots, guiding edits, planning YouTube series and distribution, overseeing short-form content, analyzing performance data, managing two direct reports, and protecting brand integrity. The role requires strong documentary development, production knowledge, creative leadership, and approximately 30% travel.

Leads and develops an engineering team building, deploying, and operating machine-learning models and services for fraud prevention. Owns roadmap delivery, technical decisions, reliability, testing, monitoring, and stakeholder communication. Partners with data scientists, ML engineers, product, risk, and engineering teams. Drives responsible AI-tool adoption, recruits and coaches engineers, manages priorities, and ensures scalable, high-quality production systems.

Monitor virtual tutoring sessions, ensure tutors and students connect on time, and provide temporary student support when tutors are absent. Update student progress and lesson notes in SPARK, enforce tutoring standards and policies, troubleshoot technology issues, and communicate session information to the team. This part-time remote role requires consistent shift availability and prior Ignite Reading tutoring experience.

Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites.

Design, build, and maintain operational dashboards and SQL-based data models. Translate stakeholder questions into queries, validate data quality, migrate reporting to Databricks/dbt, document analytics, and support metric governance to deliver trusted operational insights.

Own GTM strategy and operations, including KPI dashboards, revenue planning, quota tracking, forecasting, business reviews, and process optimization. Partner cross-functionally with Sales, Finance, Marketing, Product, and Customer Success to improve data integrity, operational efficiency, and growth. Build AI agents to automate recurring workflows and reporting. Use analytics and customer engagement metrics to generate actionable recommendations and drive measurable business outcomes.