• 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

• Lead early-phase AI systems: Design and build AI-first user experiences from the ground up, pairing rapid experimentation with strong measurement loops to evaluate performance, relevance, safety, and cost in production. • Influence product direction: Bring an engineering-driven perspective to what we build, how we build it, and which tradeoffs are worth making at early stages—charting a multi-step path that turns quick wins into durable, scalable capabilities. • Design and build scalable AI systems: Once direction is validated, evolve prototypes into reliable, maintainable, and observable production systems, balancing iteration speed with long-term platform health. • Build AI-powered product experiences: Develop AI-assisted modeling and authoring workflows to accelerate plan design, data mapping, and explanation for customers. • Deliver retrieval-augmented insights: Implement contextual help, explainers, and policy Q&A grounded in customer data and system metadata using robust retrieval-augmented generation patterns. • Own guardrails and evaluation: Design and implement evaluation and safety primitives—including offline and online evals, telemetry, human-in-the-loop workflows, safety filters, and red-teaming—to ensure trustworthy AI behavior. • Create reusable AI platform components: Build shared infrastructure for prompt orchestration, hybrid retrieval, caching, tracing, evaluation, and cost/performance controls that enable teams to ship AI features safely and efficiently. • Raise the technical bar: Contribute to architecture, coding standards, testing strategy, and mentoring; promote best practices across AI systems, platform design, and production readiness.