Top Tech Jobs & Startup Jobs

Lead frontend architecture and rendering for a large-scale real-time collaborative whiteboard. Define performance standards for frame rate, memory, and latency. Design distributed state management using CRDTs/OT, investigate performance with browser profiling, drive architectural reviews, mentor engineers, and collaborate with backend, design, and PM partners to turn technical constraints into product decisions.

Lead development of Zoom chat and meeting frontend modules using React/Vue and Zoom SDK, implement hybrid WebView bridges, handle streaming via WebSocket/Zoom realtime APIs, ensure WCAG 2.1 accessibility, build CI/CD pipelines, optimize performance under concurrency, and coordinate a distributed multilingual engineering team.

Act as a product expert and technical advisor through the sales cycle, translating customer needs into solution designs, leading tailored demos and pilots, designing data and integration approaches, and collaborating with Sales, Product, and Customer Success to ensure alignment and drive adoption.

Lead integrations and data-sync product strategy to ensure reliable, fresh GTM data. Ship integrations, APIs, and AI-agent workflows; own reliability metrics, customer relationships, migrations, and cross-functional execution with engineering and design.

Lead and architect scalable agentic AI runtime services integrating LLM-based reasoning. Manage and mentor a distributed team, drive technical roadmap, deploy models in microservice environments, and collaborate cross-functionally to deliver production conversational AI solutions.

Lead global integrated marketing strategy and campaign systems across awareness to expansion. Orchestrate multi-channel, AI-informed programs, align cross-functional stakeholders, scale regional execution, and measure pipeline and revenue impact through robust attribution and experimentation frameworks.

Design and deliver customer-facing features, define architecture and cloud-based automation, create technical and API documentation, troubleshoot and optimize performance, review code and designs, mentor engineers, and translate business requirements into technical solutions.

Design and optimize GenAI solutions, collaborate with teams, enhance system performance, present technical findings, and stay updated on GenAI advancements.

The AI Infrastructure Engineer will develop and optimize infrastructure for training large language models, focusing on distributed systems and GPU programming.

Design and implement backend orchestration for agent workflows and runtime in microservices. Build scalable LLM-powered systems (RAG, tool-use, multi-step reasoning), integrate LLM/TTS/ASR, develop agents with frameworks like LangChain/Dify/OpenAI SDK, optimize prompts, run integration tests, and collaborate with research and product teams to deploy agentic AI across verticals.