• Collaborate with product managers and other engineering teams to understand business requirements and translate them into technical specifications for AI-powered software applications. • Define and deliver the multi-team growth strategy with measurable outcomes through ownership of product capabilities and technical systems • Lead the design and delivery of software solutions across specific product areas or multi-component systems • Establish engineering best practices, improve system reliability, and drive down technical debt • Collaborate with cross-functional teams to balance technical requirements with business goals • Lead by example through high quality code, thoughtful reviews, and hands on mentorship, fostering a collaborative and growth-oriented culture. • Mentor senior engineers; model high-signal design reviews and effective cross-team influence. • Conduct experiments and A/B tests to validate hypotheses and guide product decisions. • Participate in and uplevel on-call rotations to maintain service reliability

• Design, build, and maintain systems across namespace management, IAM, enterprise features, and cloud infrastructure • Build and operate the Namespace platform across AWS, GCP, and Azure, including provisioning workflows and resource management • Implement enterprise capabilities such as audit logs, export history, notifications, and control plane data pipelines • Develop security and access control features that enable enterprise customers to manage their cloud deployments safely • Contribute to platform reliability, availability, and developer productivity initiatives • Collaborate with product, engineering, and infrastructure teams to deliver high-quality solutions aligned with customer needs • Participate in on-call rotation to ensure system reliability and respond to production incidents • Contribute to architectural decisions and technical design reviews for cloud platform features

• Own the cloud infrastructure for the Remote Assist system, including the specification, design, development, rigorous testing, performance optimization and maintenance. Influence the entire end-to-end Remote Assist system. • Contribute to the operator tooling application and the onboard RA components, such as the communications stack, video and data streaming technologies, etc. • Founding member of an uncommonly broad end-to-end team that includes front end, cloud, and robotics engineers working together on a single product. Excited to work across our entire codebase and sees it as positive to contribute to front end, cloud, and even sometimes onboard C++ code on the robot. • Partner closely with the RA tech leads that own onboard and offboard code. • Work across functions with other teams including design, fleet monitoring engineering, infrastructure engineering, etc. • Take part in on-call rotations. • Quarterly travel to on-sites at our headquarters in Pittsburgh.

• Architect real-time conversation systems: Define patterns for ingesting, processing, and storing live audio and video data with high accuracy and low latency. • Hands-on, high-impact delivery: Write production code, lead major initiatives, and own critical systems end-to-end. • GenAI in the loop: Shape how transcription, summarization, and conversation intelligence models integrate into live and post-call workflows. • Reliability and trust at scale: Drive decisions around observability, correctness, privacy, and failure modes in non-deterministic systems. • Product and UX sensitivity: Partner with Product and Design to ensure technical decisions support clarity, usefulness, and user trust. • Cross-functional influence: Work closely with Calendar, Calling, CRM, and AI teams to align on shared primitives and patterns. • Org-level multiplier: Mentor senior engineers, influence architectural standards, and help the org build better real-time and AI-powered systems.