Top Tech Jobs & Startup Jobs in NYC, NY

Serve as first point of contact via phone, chat, email, and portal to troubleshoot and resolve customer issues. Maintain case records, prioritize by SLA/severity, identify workarounds, and meet monthly customer satisfaction goals.

Perform pre-employment verifications by contacting employers, schools, boards and databases to confirm employment, education, licenses and references. Document findings, analyze documents, prepare accurate screening reports, meet production and quality targets, and conduct virtual I-9 Section 2 meetings.

Own month-end close tasks, prepare/post journal entries, maintain GL schedules, reconcile accounts, support monthly and year-end reporting, assist annual audit, handle M&A integration reporting, update accounting policies, and drive process improvements.

The Principal AI Product Engineer leads the development of AI-integrated software solutions, overseeing architecture and mentoring teams. Key responsibilities include technical leadership, AI integration, task decomposition, and enhancing build pipelines.

The Sales Consultant will collaborate with clients to provide tailored technology solutions, support the sales process, and leverage industry insights to drive revenue growth.

Lead and build the AI Quality & Governance platform: observability, evaluations, guardrails, SLOs, and incident playbooks. Design automated and human-in-the-loop evaluation pipelines, enforce release gates, translate governance frameworks into engineering controls, partner with product teams on AI incidents, and hire and grow a hands-on engineering team while contributing substantial production code.

The Account Manager will manage a portfolio of customers, focusing on revenue retention and growth, conducting reviews, and identifying potential upsell opportunities.

Serve as the bridge between business stakeholders and development for internal data initiatives. Own intake, discovery, and requirements documentation for analytics, BI, and reporting. Write user stories, acceptance criteria, data definitions, and reporting logic. Maintain a prioritized backlog, support stakeholder validation of prototypes, participate in agile ceremonies, and resolve requirement gaps and risks to ensure development can execute independently.