Sierra

Software Engineer, Product role focused on building AI-powered customer experience platforms. Responsibilities include agent architecture, retrieval mechanisms, evaluation frameworks, voice integration, simulation, content management, and adapting software development methodologies for AI agents. The role emphasizes building steerable, verifiable, and empathetic agents, grounding answers in knowledge bases, measuring agent quality, and creating lifelike voice conversations.

Sierra is seeking interns to work on production AI agents for their customers, contributing to the design and development of these agents and shipping features. The role involves gaining hands-on experience with AI agents at scale.

Software Engineer, Agent - Healthcare role focused on designing, building, and shipping production-grade AI agents for the healthcare industry. This involves owning the Agent Development Life Cycle (ADLC), navigating healthcare complexities, ensuring HIPAA compliance, and collaborating with healthcare leaders to transform patient experiences. The role emphasizes building and scaling end-to-end production systems and directly working with customers.

Software Engineer, Agent Builder at Sierra, focused on building a platform for AI-powered customer experiences. The role involves developing simulation and benchmarking platforms for AI agents, creating no-code tools for agent guidance, adapting software development methodologies for AI agents, and accelerating agent creation using generative tools and self-improving systems.

Software Engineer role focused on building the infrastructure for AI-powered voice customer experiences, including accurate speech-to-text, natural speech synthesis, real-time audio processing for agentic loops, and scaling systems to handle millions of calls daily. The role also involves real-time integrations with telephony systems.

This role is for an APX (New Grad) at Sierra, a company building an AI platform for customer experiences. The program focuses on developing the next generation of AI builders through rotations in Agent Development and Core Product teams. Responsibilities include building and shipping AI agents with customers in a production environment, contributing to the platform's code and product design, and learning about scaling agents. Requires a degree in Computer Science or related field and experience in software engineering or product management, with demonstrated interest in AI applications.

Software Engineer, Intelligence role focused on building the intelligence layer for a platform that helps businesses build customer experiences with AI. Responsibilities include analyzing agent interactions, generating insights, enabling evaluation and experimentation, and developing learning systems for retrieval, ranking, personalization, and feedback loops.

Software Engineer, Agent Architecture role focused on building core systems for AI agents, including orchestration, runtime, and primitives. The role also involves improving retrieval and grounding for accurate responses and building evaluation systems to measure agent quality. Experience with AI-powered systems, agent frameworks, retrieval, evaluation, and LLM-based applications is preferred.

Software Engineer to build systems for analyzing and visualizing agent performance data, enabling A/B testing, and monitoring agents for defects. The role involves building an 'Explorer' tool for conversational data analysis and clustering, akin to ChatGPT.

Software Engineer, Agent Data Platform role focused on building and operating large-scale data systems, real-time pipelines, and personalization primitives to enhance AI agent capabilities. The role involves architecting data foundations, developing agent memory systems, and implementing optimization loops for personalized customer experiences. Requires strong backend and distributed systems experience, with a focus on data engineering and product engineering for AI-driven applications.

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.

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 a Forward Deployed Infrastructure Engineer to manage the end-to-end lifecycle of customer deployments of their AI platform. This role involves architecting, deploying, upgrading, and managing infrastructure in enterprise environments, ensuring security and compliance. The engineer will also develop standards, tooling, and processes for scalable and repeatable deployments, collaborating with various internal teams and customer stakeholders.

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 managing security and compliance for an AI platform, ensuring adherence to various regulatory frameworks like ISO 42001, PCI DSS, NIST 800-53, FedRAMP, and HIPAA. The manager will partner with engineering teams to operationalize controls, define security baselines, and automate compliance workflows using AI and infrastructure as code. While the role interacts with AI systems and uses AI for automation, its core function is security and compliance management, not direct AI/ML model development or research.

Sierra is seeking a Security Technical Program Manager to drive high-impact security and infrastructure initiatives end-to-end. This role will lead complex, cross-functional programs spanning cloud infrastructure, platform security, identity and access management, detection and response, vulnerability management, and secure software delivery. The TPM will own execution, planning, and program health, helping to shape Sierra's security strategy and build strong security foundations. They will translate ambiguity into clear execution, particularly in emerging AI domains, and lead communication and alignment across engineering, security, GRC, product, GTM, legal, and executive leadership.

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 role focused on building the enterprise platform capabilities for an AI company, including identity, access management, and integration points. The role emphasizes scaling with large customers, ensuring security, compliance, and reliability for sensitive workflows and data.

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.

Software Engineer focused on iOS and/or Android to own the Experience SDKs, which are the native building blocks customers use to embed Sierra's chat and voice agents into their mobile apps. This role will be the technical lead for the mobile experience, including UI surfaces, animations, voice interactions, performance, and deep operating-system integrations.

This role focuses on building and optimizing recruiting processes and workflows, developing dashboards for pipeline visibility, and managing recruiting tools including ATS and AI-based solutions. It requires experience in recruiting operations, strong analytical skills, and familiarity with AI tools in recruiting.

Sierra is seeking a Software Engineer, Site Reliability (SRE) to build and maintain the reliability, observability, and scalability of their AI-driven infrastructure. The role involves owning the observability stack, designing scalable cloud infrastructure on AWS using Terraform, improving LLM deployments for performance and cost-effectiveness, and leading improvements in CI/CD and incident management. The SRE will define foundational SRE practices and influence engineering culture.

Software Engineer, Infrastructure at Sierra, responsible for designing, building, and maintaining the core systems that make their AI platform possible, focusing on making the infrastructure secure, reliable, and scalable. Key responsibilities include ensuring the reliability, scalability, and performance of the platform and LLM inference serving, building and maintaining cloud infrastructure using Terraform, creating a self-serve infrastructure platform, owning CI/CD pipelines, architecting distributed systems, developing data serving abstractions and security features, integrating with enterprise customer environments, enhancing observability tooling, and leading incident management.

This role is for a Sales Engineering Manager at Sierra, a company building an AI platform for customer experiences. The manager will lead and coach a team of Sales Engineers, guide them in technical sales processes, and collaborate with cross-functional teams (Sales, Product, Agent Engineering) to scale the function and drive customer adoption of Sierra's AI solutions. Experience in building Sales Engineering organizations in emerging categories like AI is a plus.

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.

This role focuses on designing and implementing Go-to-Market software and integrations, primarily within Salesforce and related platforms. While the company is AI-focused and mentions AI-first process optimization, the core responsibilities of this role are system administration, integration architecture, and platform health for GTM tools, not direct AI/ML model development or deployment.

Sierra is seeking a founding Corporate Security Engineer, Lead to define and build their corporate security function. This role will own the risk register, secure SaaS applications and integrations, design and implement enforcement systems, improve endpoint visibility, and shape the broader security roadmap. The ideal candidate has significant experience building security programs, strong technical depth in areas like IAM and SaaS security, and a proven ability to build automation and tooling.

Sierra is seeking a University Recruiter to lead full-cycle recruitment processes, build a diverse talent pipeline, and drive campus engagement strategies. This role requires 5+ years of recruiting experience, proficiency in using recruiting metrics, and strong collaboration skills. The ideal candidate will have experience in planning and executing campus engagement strategies and an interest in building early talent programs.

Recruiter for an AI company.

Software Engineer, Frontend role focused on building and maintaining the user interface for an AI platform that helps businesses create customer experiences. The role involves owning frontend across product and marketing surfaces, leading the design system, crafting pixel-perfect user experiences, championing frontend excellence, and having full-stack involvement.