• Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems. • Develop and deploy agentic AI solutions — autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution. • Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies. • Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems. • Evaluate and integrate cutting-edge tools such as Google Cloud Platform (GCP), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities. • Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment

• Define and own Sherpany’s AI technical vision and drive strategy across the product • Shape scalable AI platform architecture and ensure robust, secure solutions • Lead design and optimization of on-prem AI systems, maintaining data privacy and compliance • Guide engineering teams with clear technical direction and best practices • Stay ahead of emerging AI technologies and apply them to solve real business problems • Collaborate cross-functionally with product, engineering and go-to-market teams to deliver impactful AI solutions

• Design, implement and test software applications including Generative AI-based features • Work in a cross-functional team with product managers and designers • Debug and resolve technical issues acting as senior advisor • Monitor performance and support resolution of bottlenecks • Develop comprehensive test suites

• Build Intelligence-Driven Systems • Partner closely with the CEO, Head of Revenue, and Head of Engineering to identify high-leverage opportunities for AI-driven automation • Design systems that continuously analyze Revic data, call recordings, and customer interactions • Translate insights into automated, organization-wide workflows • Trigger GTM Actions Automatically • Use Revic data and conversations to dynamically update outbound and inbound messaging • Generate GTM content (blogs, LinkedIn posts, enablement assets) from real customer language • Surface emerging objections, value propositions, and buying signals • Turn customer conversations into living inputs for how Revic positions and sells • Extend GTM Signal Beyond GTM • Route insights from sales calls directly into product and engineering prioritization • Inform feature discovery, validation, and roadmap decisions • Identify recurring friction, gaps, and unmet customer needs • Reduce reliance on anecdotal feedback by systematizing customer signal • Operate as a Founding Builder • Act as a connective layer between GTM, product, and engineering • Identify where human interpretation slows the organization down and replace it with systems • Move from idea to prototype to production with urgency and ownership • Help define how this intelligence layer scales as Revic grows