Top Tech Jobs & Startup Jobs in NYC, NY

Leads the multidisciplinary Integrated Sensor engineering organization across hardware, embedded and edge software, cloud platforms, and distributed systems. Sets technical strategy, architecture, engineering standards, and product delivery processes while scaling reliable systems for nationwide field deployment. Responsibilities include recruiting and developing engineering leaders, coordinating hardware and software development, improving testing and operational resilience, resolving field issues, and partnering with Product, Deployment, Data Science, and company leadership.

Build top-of-funnel pipeline through outbound prospecting across logistics service providers and shippers. Research prospects, conduct multichannel outreach, qualify leads, schedule Account Executive meetings, maintain Salesforce records, provide market feedback, and support event-related initiatives and outbound process improvements.

Own and build GenLogs’ public sector customer success function, leading agency onboarding, adoption, retention, expansion, and renewals. Train users, translate workflows into platform queries, represent customer needs to product and engineering, support pre-sales, develop relationships across government stakeholders, and contribute to customer discovery and government projects. The role supports law enforcement missions and requires up to 40% travel in field environments.

As a Senior Software Engineer, you will work across the stack to create scalable and reliable systems for tracking freight intelligence, influencing architecture, mentoring, and collaborating with various teams.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.

The Enterprise Account Executive will manage large logistics accounts, develop sales strategies, execute sales cycles, maintain relationships, and enhance customer success for GenLogs' growth.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

Own full-cycle technical recruiting for Engineering and Product: source, screen, negotiate offers, partner with hiring managers on plans and interview design, coach interviewers, and improve ATS and hiring processes to ensure strong candidate experience.

Embed with customers to discover needs, design and implement production-grade integrations (APIs, data pipelines, event-driven workflows), deploy and troubleshoot solutions, train IT teams, and drive adoption and measurable business outcomes.