Top Tech Jobs & Startup Jobs in NYC, NY

Lead communications and public affairs execution for city launches, policy priorities, and market entry. Build media strategies, engage local stakeholders and validators, monitor legislation and opposition, support regulatory and government relations messaging, maintain incident response playbooks, draft reactive and briefing materials, prepare spokespeople, and manage inbound media in fast-moving, regulated environments.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The Senior Counsel will provide legal guidance on employment matters, manage litigation, draft policies, and oversee investigations while working closely with HR and external counsel.

The Robot Operations Manager oversees global fleet allocation and compliance for robotic deliveries. Responsibilities include forecasting, regulatory alignment, and ensuring operational readiness across various markets, liaising with policy and hardware teams.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Lead and improve Serve's Safety Management System: identify hazards, run risk assessments, manage incident investigations and emergency response, validate safety assurance, track safety metrics, and promote a strong safety culture across teams.

The Government Affairs Manager will create and implement strategies for stakeholder engagement and advocate for autonomous delivery. Responsibilities include relationship building, monitoring regulations, and communication with senior management.

The IAM Engineer designs, implements, and maintains IAM systems, ensuring compliance and security while managing user access and automation workflows.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.