Top Tech Jobs & Startup Jobs

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.

Lead production-grade ML systems: build data pipelines, training and evaluation workflows, and scalable GPU inference. Fine-tune and adapt large models (LoRA, QLoRA, SFT, DPO, distillation), optimize deployments for latency/cost/reliability, and collaborate with product and engineering to ship robust, observable model-driven features.

Work directly with leadership to drive high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Lead projects end-to-end, build teams and processes, research markets and opportunities, and implement operational improvements to deliver measurable business outcomes.