• Develop and drive a forward-looking roadmap for AI-first AEC capabilities for Unanet’s GrowthStudio product • Lead product discovery, framing, and prioritization for customer-facing AI-enabled workflows and experiences • Leverage internal AI tooling across the full product lifecycle, from discovery and strategy through prototyping, PRD creation, and refinement • Partner with UX and Engineering to shape agentic workflows; move quickly from concept to validated prototype, and ensure we are solving the right problems for our customers • Define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences, including human-in-the-loop validation • Translate strategy and research into actionable requirements and release plans • Communicate effectively across technical and non-technical stakeholders, including Engineering on requirements and Marketing on Go-to-Market strategy • Track competitive and market developments in AEC and use that insight to inform our roadmap, positioning, and moat-building decisions • Help evolve how Product works in an AI-first organization by modeling strong use of AI in day-to-day product management practices

• Identify & Prioritize High-Impact AI Use Cases • Drive Rapid Experimentation • Build & Deliver AI-Enabled Products • Bridge Business, Clinical, and Technology Teams • Embed AI into Real Workflows • Measure Impact & Scale

• Own Visit.org's overall product strategy, collaborate with the CTO and COO to ensure the effective and timely launch and execution of products. • Drive product development, create a long-term strategy and vision, and prioritize work to ensure prompt and high-quality delivery of the roadmap. • Lead the ideation, technical development, and launch of innovative global-scale enterprise products. • Lead an AI-first product strategy by embedding AI capabilities into the product roadmap and driving adoption of AI tools to optimize internal product development processes. • Create a collaborative and dynamic team culture. Proactively plan the structure, scale and develop the product team. • Set processes for your team, working closely with business partners to ensure all are working towards the same goals. • Become an expert with our software, customers, and market, and be able to identify, prioritize, and execute on tactical and strategic projects • Work cross-functionally with other teams, such as sales, account management, and marketing to make sure their objectives are met, opinions are considered, and plans are communicated. • Define metrics that inform the success of our products. • Collect and analyze feedback from customers, stakeholders, and other teams to shape requirements, features, and end products • Manage Data Strategy to support strategic goals • Direct the collection, processing, and interpretation of data from product usage, sales pipelines, and market research. • Present insights from market research to stakeholders in monthly strategy meetings. • Conduct periodic design reviews of major projects with C-level stakeholders.

• Own the Agentic Foundations vision, strategy, and multi-year roadmap; define a north star for an AI-native CX foundation—vendor-agnostic, API-first, and policy-consistent—while setting quantified targets for self-serve resolution rate, agent handle time, and platform reliability. • Design and scale the API and data foundation that powers every CX surface, including structured APIs for refunds, cancellations, credits, redelivery, identity, order actions, a unified contact/case data model, and a policy engine that ensures consistent outcomes across channels. • Modernize the Agent Knowledge Base for an LLM-first world by establishing structure, governance, lifecycle, semantic retrieval, and citation patterns—closing the loop between policy, knowledge, and resolution behavior through continuous feedback mechanisms. • Champion a vendor-flexible, AI-native architecture so switching or layering new AI harnesses is a configuration change—not a multi-quarter migration—enabling rapid experimentation and resilience. • Define and own platform KPIs (e.g., API coverage, latency, reliability, percent of CX operations exposed via standardized APIs, time-to-integrate a new surface) and translate them into business outcomes (self-serve resolution rate, AHT, cost per contact). • Partner across engineering, design, data science, and CX operations to launch iteratively, run controlled pilots with BPO partners, and scale globally while maintaining reliability, compliance, and security.