• Own the product strategy and roadmap for a new AI product area, building capabilities that streamline workflows and improve the patient medication journey. • Lead 0→1 AI product initiatives that transform complex healthcare workflows and shape how AI is built across TailorMed. • Own the product lifecycle from discovery to launch and iteration, using customer insights, product data, and AI performance to drive continuous improvement. • Build intelligent solutions that simplify complex healthcare workflows, from clinical documentation and data capture to submissions, exception handling, and patient communication. • Define success metrics and own product performance, measuring workflow efficiency, AI effectiveness, adoption, and business impact. • Partner with engineering and data teams to translate customer problems into scalable AI products, writing clear requirements and driving execution from concept to delivery. • Collaborate across operations, customer success, clinical, compliance, strategy, and commercial teams to build AI products that solve real customer problems. • Use data and customer insights to shape roadmap priorities, improve AI models, and guide strategic product investment. • Drive the evolution of TailorMed's AI platform, ensuring your product integrates seamlessly into our broader ecosystem and helps define what's next.

• Own the acquisition product roadmap • Define and execute PandaDoc's top-of-funnel product strategy, from freemium entry points to AI-native discovery surfaces • Own the roadmap for acquisition-related product surfaces: From MCPs and skills to sharing mechanics and new entry points • Partner with engineering, design, and data to ship product changes that move acquisition metrics • Design growth systems that compound: product loops, integrations, template distribution, sharing mechanics, and workflow ecosystems • Identify ways PandaDoc naturally spreads through collaboration, workflows, and document sharing • Turn user behavior and product capabilities into scalable acquisition engines • Develop product strategy for emerging acquisition channels including generative search (GEO), AI discovery surfaces, MCP servers, agent marketplaces, and ecosystem integrations • Identify new ways PandaDoc can be surfaced, recommended, and activated within AI workflows and automation ecosystems • Run scoped product experiments to validate new distribution mechanics before committing to full builds • Maintain a rigorous experimentation roadmap for acquisition loops and onboarding entry points • Define hypotheses, instrument experiments, analyze results, and translate learnings into product decisions • Balance quick experiments with longer-horizon product investments • Own the acquisition funnel metrics: traffic, signups, activation, and channel-level conversion • Work with analytics to build clear measurement frameworks for new acquisition initiatives • Identify the leading indicators that predict sustainable growth • Work closely with engineering, design, marketing, and GTM to execute acquisition initiatives • Align leadership around evolving acquisition strategies and emerging opportunities • Represent the acquisition roadmap in planning processes and to executive stakeholders.

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. • Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. • Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. • Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. • Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. • Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. • Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. • Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. • Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.