nexos.ai

• Lead AI/ML innovations - from coming up with ideas for research, POCs, to contributing to full product feature build out. • Act as GenAI expert - live and breathe AI field news and trends. • Hands-on work trying out new concepts, AI frameworks and tooling around them for different use cases - context management, memory, retrieval, agentic loop, A2A and many other solutions. • Be part of product development - from discovery together with PMs to delivery within cross-functional teams. • Evaluate new LLMs (proprietary and OSS), and assess for performance, cost, and other metrics. • Bonus: act as AI evangelist to promote the adoption and understanding of AI both within and outside nexos.ai.

• Take full ownership of the new sales team and make them better. • Refine and scale the existing sales motion. • Own revenue targets. Forecast with precision and maintain disciplined pipeline visibility across the team. • Develop sellers individually - coaching, accountability, career paths. • Bring your existing relationships in the market to accelerate expansion into new geographies and verticals. • Represent the voice of the customer - feed market signal, deal patterns, and buyer feedback into GTM strategy and product roadmap. • Work directly with the COO on revenue strategy and GTM direction. • Own hiring as we scale the team beyond 10.

• Work closely with Product Managers and Engineering to navigate ambiguity and shape solutions. Take initiative and help define what needs to be done. • Lead problem discovery, not just execute solution design. • Use continuous, lightweight discoveries, run rapid experiments, build prototypes, and validate design decisions before building. • Talk to users regularly through low-effort, AI-assisted research activities. Focus on what can be done with available resources and time. • Design AI-native experiences that create trust while accounting for AI hallucinations, latency, and model limitations. • Think system-first and ensure the product ecosystem feels coherent and consistent. • Balance speed and quality while shipping imperfect MVPs in small increments, continuously improving with user feedback while maintaining the long-term product vision. • Balance several tasks at once, prioritize activities effectively, and ensure deadlines and quality standards are met. • Share feedback, improve design patterns, and help scale the overall product experience.