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Lead end-to-end production for Sierra's marquee events and activations, shaping attendee journeys and physical environments. Manage vendors, budgets, run-of-show, rehearsals, and AV/scenic/lighting/staging. Partner cross-functionally with Marketing, Product, Communications, Sales, and executives. Define capture strategy for filming/streaming content and extend live moments into marketing assets. Travel up to 30% for onsite execution.

Build and lead a global sales enablement function: own onboarding, bootcamp, continuous learning, playbooks, measurement, and a team. Partner with RevOps, Sales Comp, and Deal Desk to drive faster ramp, higher quota attainment, and consistent sales execution.

Design, model, and administer sales compensation plans for GTM roles across Sierra. Build frameworks for outcome-based and multi-year deals, maintain financial models, track performance, own policy/documentation, and partner with Finance and HR for expense planning and benchmarking.

Own marketing measurement and operations: design multi-touch attribution, build performance dashboards, analyze pipeline by segment, develop ICP scoring, run experiments, manage lead scoring/routing, and enable campaign execution and cross-functional reporting tied to revenue targets.

Own end-to-end territory strategy and operations: design and carve territories, manage bi-weekly account allocation, analyze territory performance, prioritize accounts, partner with Sales/RevOps/leadership, communicate changes sensitively, and improve territory planning processes while executing strategic initiatives.

The Software Engineer will build AI systems analyzing agent interactions, enhance performance through insights, and develop learning systems to improve agent effectiveness.

As a Platform Deployment Architect, you'll manage customer deployments of Sierra's AI platform, ensuring compliance and operational efficiency while collaborating across teams and establishing scalable processes.

Build systems to analyze, visualize, and monitor conversational agent performance, enable A/B testing for agents, and create an AI-powered exploratory interface for conversational data (clustering and search). Deliver full-stack production features supporting developer workflows and proactive defect detection.

Build AI-driven product features and platforms for conversational agents: agent architecture, retrieval, evaluation, voice/telephony, simulation/benchmarking, content management, and agent development lifecycle. Collaborate cross-functionally to design, ship full‑stack production systems and tooling that improve agent quality and customer experience.

Build and scale real-time voice systems including speech-to-text, speech synthesis, low-latency runtime for streaming audio, telephony integrations, and infrastructure to handle millions of calls daily. Ship full-stack production features and ensure reliability across interruptions, disconnects, and call transfers.