Top Tech Jobs & Startup Jobs in NYC, NY

Coordinates strategic AI programs across engineering, product, legal, risk, compliance, security, HR, and business teams. Develops execution plans, governance frameworks, status reporting, risk registers, and executive communications. Supports AI platform and agent deployment initiatives, AI policy development, enterprise training, stakeholder alignment, and adoption. Requires strong program management, AI technology understanding, organizational skills, and experience managing complex cross-functional initiatives.

Create immersive, user-centered experiences across mobile, wearable, spatial, and emerging interfaces. Produce motion studies, wireframes, prototypes, storyboards, conceptual diagrams, and high-fidelity design artifacts. Collaborate on multidisciplinary client projects, help develop workflows and tools, share knowledge, and support immersive, interaction, visual design, marketing, and internal initiatives.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Build and own full-stack, AI-native products for online learning using TypeScript, Vue.js, Node.js, Azure, retrieval pipelines, agentic workflows, model APIs, and LLM evaluations. Lead features from prototype through production, ensuring scalability, security, observability, cost control, and graceful model failure handling. Mentor engineers, establish AI-assisted development standards, conduct code reviews, and collaborate with product and engineering teams in a remote, async-first environment.

The Senior IT QA Engineer owns quality strategy and outcomes across complex technology initiatives. Responsibilities include designing automated testing solutions, integrating quality verification into CI/CD pipelines, analyzing quality and production data, developing dashboards, managing risk, leading root-cause analysis, and influencing product, engineering, architecture, security, operations, and business stakeholders. The role requires technical contributions across web, mobile, API, data, cloud, and distributed systems, plus mentoring engineers and advancing quality engineering practices.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Own system-level testing for Lance and LanceDB across correctness, reliability, scalability, performance, data integrity, fault recovery, upgrades, and compatibility. Build automated test frameworks, realistic workloads, fault-injection scenarios, performance and soak tests, and reproducible CI environments. Investigate failures using logs, metrics, traces, and source code, create minimal reproductions, and partner with engineers on fixes. Apply AI tools responsibly to accelerate test development, failure analysis, and debugging.

Leads end-to-end business analysis for U.S. Department of Veterans Affairs systems, including requirements elicitation, documentation, user stories, process models, acceptance criteria, and traceability. Serves as the liaison between business stakeholders and technical teams, supports Agile ceremonies, manages Jira backlogs, performs impact analysis, supports testing and UAT, and mentors other analysts. Ensures solutions comply with VA security, accessibility, privacy, and delivery standards.

Senior software engineering individual contributor responsible for owning systems or feature areas, making customer- and business-focused technical decisions, improving an agentic AI development framework, managing automated quality and defect reduction, leading design discussions, mentoring engineers, and driving cross-pod technical initiatives. The role requires hands-on software engineering leadership without direct people management, with emphasis on AI-assisted development, testing, safety, and organizational technical strategy.

Secure AI/ML models, data pipelines, and AI-enabled applications by conducting vulnerability assessments, threat modeling, incident response, and security reviews. Build guardrails, monitoring, detection, access controls, encryption, and data-segmentation measures. Partner with engineering and analytics teams throughout the AI development lifecycle, assess third-party AI tools, document remediation plans, and translate emerging threats such as prompt injection, data poisoning, jailbreaks, and model-supply-chain risks into practical mitigations.