Top Tech Jobs & Startup Jobs in NYC, NY

Build infrastructure for large-scale AI and agentic workloads, including synthetic data generation, evaluation, orchestration, distributed compute, simulation environments, LLM routing, observability, and developer tooling. The role requires operating nondeterministic AI systems in production, improving reproducibility and reliability, and leading complex engineering initiatives across research, product, and engineering teams.

Build and deliver computer-use agent environments, datasets, evaluators, verifiers, and production solutions for AI labs and enterprise customers. Lead technical engagements from discovery through implementation and delivery, diagnose agent failures, run experiments, and improve reliability and performance. Partner with customers and internal engineering, research, and product teams while creating reusable frameworks, tooling, standards, and technical best practices. Provide technical leadership and communicate tradeoffs and recommendations to stakeholders.

The Senior Product Manager will lead development for AI data systems, ensuring product quality, improving workflows, and collaborating with cross-functional teams to deliver scalable solutions.

Maintain SOC 2 Type I and Type II compliance, coordinate audits and remediation, automate evidence collection through Vanta and Drata, manage access reviews and policy governance, support customer security questionnaires, and align controls with NIST, FedRAMP, and CMMC requirements. Partner with engineering and security teams on compliance-as-code, cloud controls, vendor risk management, metrics, incident evidence preservation, and federal readiness.

Build and maintain internal IT infrastructure as a product through automation, identity and access management, endpoint lifecycle management, networking, API integrations, workflow orchestration, internal tools, AI integrations, security scripting, alerting, and compliance automation. The role emphasizes Python or JavaScript development, Okta or Azure AD, MDM platforms, REST or GraphQL APIs, and security-first engineering practices.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

Recruit Product talent for a high-growth AI startup by developing sourcing strategies, building diverse pipelines, analyzing recruiting metrics, delivering excellent candidate experiences, partnering with hiring managers, monitoring market trends, managing interview processes, and supporting onboarding and immigration. The role requires strong startup recruiting expertise, Product talent market knowledge, stakeholder coaching skills, and proficiency with modern recruiting tools.

Build and operate platform infrastructure, backend services, agent infrastructure, event-driven data pipelines, governance systems, CI/CD frameworks, and observability tooling. The role includes designing distributed systems on AWS, enforcing RBAC and compliance controls, optimizing infrastructure costs, defining reliability standards, participating in on-call, and leading complex engineering initiatives across teams.

Senior Technical Recruiter responsible for developing engineering recruiting strategies, sourcing passive candidates, managing pipelines, delivering excellent candidate experiences, partnering with engineering hiring managers, analyzing recruiting metrics, monitoring talent markets, coordinating interviews, improving hiring processes, and supporting onboarding and immigration. The role requires extensive full-cycle startup recruiting experience focused on software, AI/ML, and infrastructure engineering.