Top Tech Jobs & Startup Jobs in NYC, NY

Build and own evaluation systems for AI products used in banking operations. Design representative tests, scoring criteria, expert-reviewed benchmarks, and automated comparisons across product versions. Investigate failures, verify accuracy and citations, assess safety, fairness, privacy, and human-review controls, and monitor live performance. Document evidence for release decisions, recommend improvements or restrictions, mentor colleagues, and support client proposals, estimates, recruiting, and implementation activities.

Serves as a client and user contact, providing product guidance, addressing inquiries, and supporting adoption. Develops expertise in product functionality and client policies, analyzes feedback and usage trends, identifies improvement opportunities, and communicates actionable insights to internal teams. Proactively helps mitigate engagement and product issues while supporting continuous product development and improved customer experience.

Owns the roadmap and delivery for a defined B2B software product area. Responsibilities include prioritizing features, creating requirements, coordinating engineering, design, QA, project management, and client teams, facilitating Agile ceremonies, leading launches and change management, monitoring product metrics, and incorporating customer insights into product decisions. The role also mentors junior product managers and drives alignment with product strategy and business objectives.

Manages key client accounts for a healthcare technology company, serving as a trusted advisor and primary contact. Responsibilities include nurturing relationships, improving satisfaction and retention, identifying account expansion opportunities without sales prospecting, developing account plans, coordinating issue resolution, analyzing account data, preparing reports, and presenting strategic recommendations. The role requires experience with major pharmaceutical companies, executive-level relationship management, organizational change adoption, and communicating measurable business value.

Leads cybersecurity and AI risk consulting engagements, including maturity assessments, strategic roadmaps, governance, third-party risk, cyber resilience, benchmarking, risk quantification, and executive reporting. Manages scope, schedules, resources, quality, and client relationships while translating technical findings into business recommendations. Supports business development, proposals, engagement scoping, thought leadership, methodology development, and mentoring junior staff. Requires at least four years of cybersecurity, technology risk, or enterprise risk consulting experience.

Lead end-to-end product design for complex, data-driven healthcare platforms. Translate concepts into user flows, wireframes, prototypes, high-fidelity mockups, and implementation specifications. Advocate for user needs, present design insights, influence product direction, and collaborate with technical and cross-functional teams. Coach designers, facilitate critiques and pairing, improve design processes, and uphold quality standards while balancing business goals and technical constraints.

Leads internal data analysis projects, identifies business opportunities and risks, delivers strategic insights to leadership, manages junior analysts, develops dashboards, and improves data quality across company platforms. The role requires translating quantitative findings for nontechnical audiences and applying healthcare or pharmaceutical dataset experience to strategic decision-making.

Provide chat, email, and phone support for healthcare software users, including inquiry triage, issue prioritization, escalation, case follow-up, and resolution. Serve as a subject matter expert on software workflows and pharmaceutical manufacturer policies, while maintaining SLAs and documentation standards. Contribute to incident response reviews, knowledge base development, process improvement, client launches, and onboarding materials.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.