• Running a continuous weekly 1:1 practice, removing blockers, and mentoring a team of engineers on both technical craft and career growth • Establishing career growth objectives, leveling expectations, and providing continuous, specific feedback for every engineer on the team • Reviewing code, design documents, tests, and CI/CD changes regularly, raising the bar on quality, simplicity, delivery speed, observability, and long-term maintainability • Backing up the team in the trenches: pairing on hard problems, jumping into incidents, debugging production issues, writing code, and helping engineers use AI tools responsibly when they improve quality or speed • Driving architectural, tooling, and technical roadmap decisions that improve business outcomes, delivery speed, reliability, and operational efficiency • Collaborating with product, design, and customer-facing teams to connect technical work to revenue, retention, customer experience, and operational efficiency • Planning, managing, and allocating engineering capacity against quarterly OKRs, using business impact, operational risk, and your own understanding of the system to guide trade-offs • Championing and improving Beyond’s engineering practices such as trunk-based development, CI/CD, risk-based testing, feature flags, observability, pairing, code reviews, and collective code ownership • Contributing to new products and projects while supporting and maintaining the existing code base, as needed

• Own the end-to-end strategy and roadmap for all internal tools, platforms, and automation treating internal technology as a product, not a cost center. • Make strategic build-vs-buy decisions, knowing when a custom-built solution creates a lasting advantage and when a SaaS tool is the right answer. • Map current and next-state process flows across the entire internal toolchain and lead systems transformation for internal teams. • Architect and maintain the full engineering lifecycle for internal platforms from ideation and design through deployment, iteration, and deprecation. • Build seamless, API-first ecosystems that integrate internal tools across HR systems, finance platforms, knowledge management, CRM, and developer infrastructure. • Own system reliability and operational resilience: establish success metrics for uptime, performance, and employee productivity. • Design scalable, secure architectures using cloud-native principles, microservices, and modern integration patterns. • Lead the strategy for integrating AI and LLMs into internal workflows reimagining how knowledge is shared, decisions are supported, and work is executed across the organization. • Deploy intelligent automation tools including AI where appropriate to streamline internal processes and improve decision-making. • Evaluate and integrate AI-assisted troubleshooting, proactive recommendations, and intelligent automation into the internal platform layer. • Stay ahead of technology trends and drive continuous experimentation you build prototypes, not slide decks. • Reduce cognitive load for internal users by providing golden paths, standardized workflows, and self-service capabilities. • Ensure frictionless onboarding and seamless integration across the tool ecosystem. • Measure platform success through adoption rates, user satisfaction, DORA metrics, and productivity impact not feature count. • Build, lead, and mentor a high-performing team of engineers and engineering managers. • Cultivate a collaborative engineering culture rooted in ownership, speed, and craftsmanship. • Provide technical mentorship and create growth paths for individual contributors and managers alike. • Foster psychological safety and a feedback-driven environment that empowers people to do their best work. • Partner with People, Finance, Engineering, Legal, and Operations leadership to translate complex business needs into a unified technical vision. • Serve as the bridge between business stakeholders and the engineering team you speak both languages fluently. • Align internal platform investments with broader company strategy and demonstrate measurable ROI.

• Help structure engineering workstreams and ensure projects move forward efficiently. • Identify risks, unblock engineers, and maintain steady development velocity. • Ensure high engineering standards while keeping teams focused on shipping. • Translate product direction and technical strategy into clear engineering execution. • Contribute to key architecture discussions and technical decisions. • Support engineers in evaluating system design choices and implementation trade-offs. • Ensure systems are implemented in a scalable and maintainable way. • Build and scale a strong engineering team across China, US and Europe. • Recruit high-quality engineers and help maintain a strong hiring bar. • Establish structured hiring processes and interview standards. • Work closely with product, research, and leadership teams. • Ensure alignment across different engineering efforts and locations. • Help resolve technical and organizational bottlenecks.

• Own and drive AI enablement engineering across Deepgram • Evaluate, prototype with, and select AI tools • Build reference implementations and workflows • Set and run company-wide AI adoption strategy • Partner with various teams to define guardrails