Top Tech Jobs & Startup Jobs

Lead product strategy and roadmap for AI and robotics products, translating VLA and agentic RAG breakthroughs into customer value, defining safety/usability/performance metrics, working with enterprise adopters, and driving cross-functional delivery.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Lead and scale non-engineering operations for a fast-growing Web3 infrastructure company. Build operational frameworks, oversee finance and digital-asset treasury, manage global legal/regulatory strategy, create HR for remote global hiring, and translate CEO vision into measurable operational roadmaps to support rapid growth and institutional stability.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation, and train and fine-tune Vision-Language-Action models to improve robotic automation.

Own full-cycle accounting for fiat and BTC transactions, manage crypto-to-fiat global payroll, monitor liquid assets and on-chain movements, implement crypto-native accounting software, and ensure international tax and reporting compliance.

Lead growth initiatives for a hardware wallet's software ecosystem by optimizing onboarding funnels, leveraging analytics (Mixpanel/Amplitude), collaborating cross-functionally, conducting market research, and implementing strategies to boost user engagement and retention.

Lead product strategy and roadmap to convert advanced AI and robotic research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with early enterprise adopters for feedback, and coordinate cross-functional teams to deliver complex hardware and deep-tech software products.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.

Drive institutional adoption of the platform by sourcing and managing Tier-1/2 institutional prospects, negotiating partnerships and integrations, coordinating onboarding/compliance, advocating product needs, and representing the firm at global summits.

Optimize and compress large language and vision models for efficient on-device inference. Build distillation and hardware-specific compilation pipelines, and benchmark model performance across NPU and GPU architectures.