• Define vision & portfolio strategy. Own the long-term vision and multi-quarter roadmap for in-store voice AI and the platform that enables multiple use cases across FOH/BOH. Balance short-term pilots with long-term platform investments. • Run vendor & technical evaluation. Lead technical evaluation of voice and AI vendors (ASR, NLU, TTS, edge inference, on-device options) and create benchmarking frameworks for accuracy, latency, privacy, and cost. • Lead commercial conversations. Drive vendor commercial discussions (pricing models, licensing, SLAs) and surface negotiation points — partnering with Procurement and Legal who finalize contracts and budget approvals. • Drive zero → one discovery and pilots. Plan and execute discovery, rapid prototyping, and in-restaurant pilots; iterate based on operational feedback and scale successful experiments. • Design a reusable voice platform. Define APIs, integration patterns, data flows, and tooling that make voice capabilities reusable across guest experiences, staff workflows, and integrations with POS, kitchen systems, and telemetry services. • Lead GTM & commercialization. Define pricing, packaging, and go-to-market strategy with Product Marketing, Sales, and Operations; identify commercial models that fit restaurants of different sizes. • Coordinate cross-functional delivery. Align Engineering, Hardware Ops, Reliability, Security, Data, Research, Design, Care/Onboarding, and GTM partners to de-risk delivery and adoption. • Drive operational readiness & reliability. Define operational playbooks, observability, edge/online failover modes, and post-launch monitoring to ensure reliable in-store behavior and low support cost. • Champion field research & validation. Spend time in restaurants to learn operational workflows, validate prototypes, and iterate with real staff and guests. • Mentor & shape product practice. Coach senior PMs and engineers on voice/AI product development, vendor evaluation, and responsible AI practices; contribute to the Product Playbook. • Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build.

• Translate PM strategic initiatives into clear product specifications • Own the delivery lifecycle: spec → development → QA → release • Maintain a prioritized backlog aligned with company goals • Resolve client-critical issues and deal breakers • Support GTM teams with product knowledge and solutions • Drive internal product improvements and tech debt reduction • Ensure the product remains stable, scalable, and high-quality

• Translate PM strategic initiatives into clear product specifications • Own the delivery lifecycle: spec → development → QA → release • Maintain a prioritized backlog aligned with company goals • Resolve client-critical issues and deal breakers • Support GTM teams with product knowledge and solutions • Drive internal product improvements and tech debt reduction • Ensure the product remains stable, scalable, and high-quality

• Translate PM strategic initiatives into clear product specifications • Own the delivery lifecycle: spec → development → QA → release • Maintain a prioritized backlog aligned with company goals • Resolve client-critical issues and deal breakers • Support GTM teams with product knowledge and solutions • Drive internal product improvements and tech debt reduction • Ensure the product remains stable, scalable, and high-quality