• 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.

• Lead and execute hands-on development across critical areas of the Reveleer platform. • Own architecture and system design for complex initiatives, driving projects end to end. • Apply AI and automation where appropriate to improve developer productivity and efficiency. • Act as a technical multiplier by mentoring engineers through design reviews and technical guidance. • Design and build scalable, secure, and high-performance systems while identifying technical debt. • Partner with product and engineering leadership to shape and execute technology roadmaps.

• Own the design and implementation of complex product features and platform improvements, writing clean, maintainable, and scalable code • Act as a technical leader within the team by producing and maintaining high-quality technical documentation, including design decisions, trade-offs, and operational considerations • Partner closely with Product, Support, and Implementation teams to ensure reliable, well-designed solutions for API customers • Apply and champion best practices around security, performance, observability, and maintainability across the Verifiable Platform • Drive troubleshooting and debugging of complex production issues, contributing to long-term reliability through post-incident improvements • Mentor junior and mid-level engineers through feedback, code reviews, coaching, pairing, and knowledge sharing • Troubleshoot and debug issues in the Verifiable Platform, contributing to the continuous improvement of system reliability, while participating in on-call rotations and representing Engineering across our organization. • Learn and grow by proactively seeking feedback, participating in knowledge-sharing sessions, and staying current with emerging technologies