Top Tech Jobs & Startup Jobs in NYC, NY

Build and ship Android and/or iOS features for BJAK's AI Neobank app. Implement insurance, payments, claims and financial flows, integrate APIs, handle edge cases, improve performance and reliability, and support fast product launches and experiments with product and design teams.

Design end-to-end mobile and web product experiences for insurance, payments, claims, and investments. Create user flows, wireframes, prototypes, and polished interfaces; build scalable design systems; collaborate with PMs and engineers; iterate using product data and user feedback to improve usability and accessibility.

Design and deliver pixel‑perfect mobile interfaces for iOS and Android financial products. Create wireframes, prototypes, and production-ready UI; build and maintain mobile design systems; collaborate with engineers and PMs; iterate using analytics and usability findings to ensure accessibility and platform-consistent experiences.

Lead and execute high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; research markets and opportunities; identify operational problems and implement solutions; own projects end-to-end and deliver measurable business outcomes.

Design polished mobile-first and web interfaces for BJAK's AI and financial products. Create wireframes, user flows, prototypes and high-fidelity UI; maintain and evolve the design system; collaborate with product managers and engineers to deliver pixel-perfect implementations; iterate using user feedback, analytics and usability testing while ensuring accessibility and responsiveness.

Lead high-priority, cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; plan and execute projects end-to-end; research markets and products; identify operational improvements; and deliver measurable business outcomes through strong ownership and stakeholder management.

Lead product definition and execution for AI-powered assistant systems. Define end-to-end requirements, translate model capabilities into product decisions, design evaluations, balance trade-offs (quality, latency, cost, reliability), and work closely with ML, backend, and mobile engineers to ship reliable, user-trusted AI features.

Design, build, and operate large-scale ML systems across data, training, evaluation, inference, and deployment. Lead GPU-optimized training and inference pipelines, ensure reliability, performance, safety, and seamless integration into products. Own production deployments, monitoring, and cross-functional best practices to drive measurable model improvements and efficient research-to-production cycles.

Lead the end-to-end ML execution: build and operate data pipelines, training and evaluation systems, and scalable inference. Fine-tune and optimize large models (LoRA/QLoRA/SFT/DPO/distillation), ensure GPU efficiency, monitor production quality, collaborate with product and application engineering, and rapidly ship reliable, safe ML solutions that translate research into production.

Build and maintain cross-platform Electron desktop apps focused on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI via backend APIs, optimize startup/memory, profile Electron overhead, manage large local state and message history, and ensure stability on macOS and Windows.