Sierra

Product Manager for Enterprise-grade AI Agents, responsible for partnering with engineers and customers to build and ship AI agents handling thousands of customer conversations daily. The role involves engaging with customers to assess requirements, demonstrate the product, overcome technical challenges, develop virtual agents, and drive strategic technical strategies. The PM will also shape the product roadmap by scoping and implementing new features with engineering and product development teams.

Sierra is seeking a Strategist, Agent Development to partner with Product Managers and Engineers to scope, build, and ship AI agents for customer conversations. This role involves combining product strategy, conversational design, and customer insight to bring high-quality agents to life, coordinating across stakeholders throughout the agent development lifecycle.

This role focuses on partnering with Product Managers and Engineers to scope, build, and ship AI agents for customer conversations. It involves combining product strategy, conversational design, and customer insight to bring high-quality agents to life, coordinating across stakeholders through the full agent development lifecycle.

Security Engineer role focused on securing an AI platform, including application, cloud, network, and AI agent security. Responsibilities include secure design reviews, threat modeling, implementing automation with AI-based solutions, continuous security posture improvement, and addressing enterprise customer security needs, particularly concerning regulated data.

Product Manager for Agent Development at Sierra, focusing on building and shipping enterprise-grade AI agents for customer experiences. Responsibilities include customer engagement, understanding requirements, demonstrating the product, addressing technical challenges, shaping the product roadmap, and collaborating with engineering teams.

Software Engineer, Platform role focused on building Sierra's AI platform for customer experiences. The role involves creating platform primitives for agent development, orchestration, and deployment, including runtime systems and developer tooling. Experience with production systems and distributed systems is required, with a passion for AI products being a plus.