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.

Sierra is seeking its first Support Engineer to help customers succeed with their Agent OS platform. This role involves debugging issues, investigating complex problems across agent building, integrations, APIs, and infrastructure, and translating technical issues into solutions. The engineer will also help design and build the support function from scratch using AI tools and identify patterns to drive product improvements. The role requires strong debugging skills, an engineering mindset, comfort with AI tools, and a positive attitude.

This role focuses on owning end-to-end enterprise AI deployments for financial institutions, partnering with C-suite executives to define AI strategies, translate them into executable programs, and drive high-visibility deployments of agents at enterprise scale. The role involves strategic thinking, program management, and building executive relationships around AI risk, compliance, and customer experience transformation.

This role focuses on developer relations for an AI Agent platform, involving creating educational content, training programs, and technical documentation to onboard customers onto the Agent SDK and Agent Studio. The engineer will also develop AI Agents as an Agent Software Engineer and work with marketing to publish success stories.

Software Engineer, Security role focused on building trust and security foundations for an AI platform, specifically securing agentic AI systems, owning cross-cutting trust primitives, and automating security-adjacent workflows. The role involves designing and shipping systems for privacy, identity, authentication, authorization, and data security, with a focus on securing AI agents against data leaks and manipulation.

This role focuses on developer relations for an AI platform, specifically for building and educating customers on AI Agents using an SDK and a no-code platform. Responsibilities include creating training materials, technical documentation, and sample repositories, as well as developing AI Agents as an Agent Software Engineer. The role also involves working with marketing to publish case studies and community engagement.