Top Tech Jobs & Startup Jobs in NYC, NY

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Manages profitable growth for a Texas excess and surplus casualty territory. Responsibilities include underwriting complex accounts, servicing major agency relationships, supporting production and sales, mentoring teammates, delivering training, developing underwriting guidelines and products, and pursuing cross-sell and joint marketing opportunities. The role is field-based and requires travel throughout the territory.

Own lender customer relationships from implementation through post-go-live, advising on mortgage workflow configuration, answering product questions, handling objections, supporting demos, and translating customer feedback to Product and Engineering. The role requires direct mortgage lender experience, customer-facing communication, deep mortgage lifecycle knowledge, hands-on loan origination system experience, and willingness to travel approximately monthly. The CSM will also help establish the company’s customer success playbook.

The Talent Acquisition Partner manages full-cycle recruiting for assigned requisitions, including sourcing, candidate engagement, interviewing, selection, offer negotiation, and applicant tracking. The role builds relationships with hiring managers, HR, community organizations, universities, and professional networks while developing creative sourcing strategies. Responsibilities also include maintaining positive candidate experiences, coordinating recruiting events, ensuring compliance with employment policies and laws, and supporting multiple recruiting assignments independently and collaboratively.

Leads and grows a frontend-focused development team, establishes architecture and engineering practices, drives frontend roadmap execution, reduces technical debt, improves reliability and security, partners with Product and the CTO, and mentors developers. The role oversees SaaS production systems, cloud platforms, APIs, microservices, customer-focused solutions, incident response, and engineering priorities.

Reviews closed mortgage loan files for completeness, underwriting and mortgage insurance compliance, and insurability. Manages a loan pipeline, interprets DU and LP findings, identifies discrepancies, researches guidelines, and resolves post-closing exceptions with internal and external stakeholders. Supports quality control, process improvement, accurate issue tracking, and regulatory compliance while maintaining confidentiality and meeting productivity standards in a remote environment.

Architects FHIR-compliant clinical data models and develops harmonization, enrichment, and validation strategies across EHR, HIE, and claims data. Maintains clinical ontologies and value sets, ensures data accuracy and longitudinal integrity, and documents technical requirements for engineering teams and stakeholders. The role requires advanced Python and SQL skills, healthcare interoperability expertise, and experience with clinical informatics or data integration.

Own corporate FP&A forecasting, consolidations, cash flow planning, reporting, and financial modeling. Partner with Accounting and cross-functional leaders to analyze variances, improve forecast accuracy, support executive and Board reporting, and guide resource allocation. The role also enhances planning processes, automation, and models covering stock-based compensation, capital expenditures, collections, share count, and long-range planning.

Lead end-to-end AI improvement initiatives by assessing workflows, identifying automation opportunities, gathering stakeholder requirements, designing and integrating AI-powered solutions, and managing deployment and adoption. The role also includes process redesign, executive communication, internal AI enablement, responsible AI governance, privacy, access controls, and measuring post-implementation business impact.

Supports executives and stakeholders in defining business problems, requirements, processes, and success metrics for data, AI, and digital transformation initiatives. Identifies automation opportunities, specifies AI and data requirements, facilitates workshops, supports pilots and change management, partners with technical teams, oversees UAT, and maintains client relationships. Uses generative AI to accelerate analysis and documentation while validating outcomes and coaching project teams.