Top Tech Jobs & Startup Jobs in NYC, NY

Manage and grow revenue-generating partnerships in eCommerce, collaborate across teams, and track partner performance to drive revenue.

Design and maintain cross-chain integrations, build transaction creation/signing and status-tracking flows, integrate liquidity/exchange/bridge providers, improve route safety and execution reliability, and help set architecture and engineering standards with product and platform teams.

Lead end-to-end supply chain and operations projects from diagnosis through implementation. Improve S&OP, demand, and supply planning; build KPIs and governance; perform hands-on data, system, and operational analysis; use Power BI and AI tools to communicate insights and drive stakeholder decisions.

Build and maintain integrations with cloud providers and third-party security tools; design data pipelines to normalize and validate diverse API inputs; implement authentication flows (OAuth2/OIDC/API keys); ensure reliability with error handling, retries, observability; document integrations and collaborate with engineering to deliver consistent data for downstream features.

Own strategy, roadmap, and go-to-market for data-driven products serving progressive organizations. Gather and prioritize user feedback, translate needs into product specs, collaborate with engineers, designers, and data scientists, and demo features and marketing materials to clients. Anticipate user needs within the progressive political ecosystem and iterate rapidly under tight timelines.

Serve as the CEO's strategic and operational right hand at an AI LegalTech startup: prepare executive/board/investor materials, build financial models and decks, contribute litigation expertise to product content, validate LLM-generated analyses, drive cross-functional execution, manage company operations (recruiting, vendor administration, OKRs), represent the CEO, and handle special projects across finance, legal, and partnerships.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

Three-month remote training for Bay Area residents to gain hands-on experience with real ML projects: model building, data preprocessing, feature engineering, evaluation, and collaborative development using Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch. Includes mentorship, portfolio projects, and a completion certificate.

Key responsibilities include troubleshooting complex technical issues, mentoring junior team members, streamlining processes, and ensuring quality assurance in IT support.

Lead strategy, planning, and execution of virtual and in-person customer events, hacking challenges, and community programs for Strategic Accounts. Use AI tools and data-driven metrics to measure outcomes, manage budgets, vendors, logistics, and cross-functional stakeholder alignment to drive customer engagement and business results.