Sierra

<h2>About us</h2>Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/brettaylor/">Bret Taylor</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/claybavor/">Clay Bavor</a>. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.<h2>What you’ll do</h2><ul><li>Design and <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/meet-the-ai-agent-engineer">deliver production-grade AI agents</a>: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.</li><li>Drive the <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/agent-development-life-cycle">Agent Development Life Cycle</a> (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.</li><li>Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.</li><li>Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.</li></ul><h2>Example projects</h2>These are some examples of projects that engineers on our team have worked on recently:<ul><li>Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn</li><li>Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations</li><li>Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services">our financial services blog</a>!</li><li>Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development</li><li>Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers</li></ul><h2>What you'll bring</h2><ul><li>Language fluency - professional fluency in both Spanish and English</li><li>Experience building and scaling end-to-end production systems</li><li>Strong technical problem-solving skills, especially in fast-changing, ambiguous environments</li><li>A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship</li><li>Comfort working directly with customers to understand their needs and solve real-world problems</li><li>Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences</li></ul><h2>Even better...</h2><ul><li>Experience building or deploying AI/LLM systems in production</li><li>Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed</li><li>Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering</li><li>Prior experience with React, TypeScript, and/or Go</li><li>Previous roles where you interfaced with customers or led technical projects with external stakeholders</li></ul><h2>Our values</h2><ul><li>Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.</li><li>Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.</li><li>Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.</li><li>Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.</li><li>Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.</li></ul><h2>What we offer</h2>We want our benefits to reflect our values and offer the following to full-time employees:<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized </li><li>Discretionary benefit stipend giving people the ability to spend where it matters most</li><li>Free alphorn lessons</li></ul>These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.<h2>Be you, with us</h2>We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Software Engineer, Agent (Spanish speaking)

<h2>About us</h2>Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/brettaylor/">Bret Taylor</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/claybavor/">Clay Bavor</a>. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems.<h2>What you’ll do</h2><ul><li>Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers.</li><li>Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value.</li><li>Turn ambiguous product and customer problems into well-framed machine learning problems.</li><li>Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents.</li><li>Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization.</li><li>Build rigorous evaluations that connect model performance to real-world agent quality.</li><li>Work with large-scale, proprietary datasets spanning text and audio interactions.</li><li>Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact.</li></ul><h2>What you’ll bring</h2><ul><li>Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech.</li><li>Excellent judgment in framing product problems as ML tasks and selecting the simplest &amp; most effective approach.</li><li>Experience working deeply with data, experimentation, evaluation, and model iteration.</li><li>A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome.</li><li>The ability to operate with high agency and work across the stack when needed to deliver an outcome.</li><li>Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity.</li><li>A degree in computer science, machine learning, or a related field, or equivalent professional experience.</li></ul><h2>Even better…</h2><ul><li>Experience with supervised fine-tuning or reinforcement learning.</li><li>Experience in search, ranking, recommendations, or advertising systems.</li><li>Experience training and deploying language, speech, or multimodal models.</li><li>Experience designing model evaluations tied to real-world product outcomes.</li><li>Experience working with large-scale consumer datasets or high-volume ML products.</li><li>Contributions to applied ML research or benchmarks.</li></ul><h2>Our values</h2><ul><li>Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.</li><li>Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.</li><li>Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.</li><li>Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.</li><li>Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.</li></ul><h2>What we offer</h2>We want our benefits to reflect our values and offer the following to full-time employees:<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized </li><li>Discretionary benefit stipend giving people the ability to spend where it matters most</li><li>Free alphorn lessons</li></ul>These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.<h2>Be you, with us</h2>We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Research Engineer, Applied Research

<h2>About us</h2>Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/brettaylor/">Bret Taylor</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/claybavor/">Clay Bavor</a>. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.<h2>About the role</h2>Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale.As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost.This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure.<h2>What you'll do</h2><ul><li>Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure.</li><li>Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales.</li><li>Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads.</li><li>Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity.</li><li>Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost.</li><li>Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run.</li><li>Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads.</li><li>Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams.</li></ul><h2>What you'll bring</h2><ul><li>Deep systems thinking and strong distributed systems fundamentals.</li><li>Experience designing, building, and operating large-scale production systems.</li><li>Strong judgment around tradeoffs involving latency, reliability, capacity, and cost.</li><li>Experience taking ownership of complex infrastructure from architecture through production operation.</li><li>Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves.</li></ul><h2>Even better</h2><ul><li>Experience with ML infrastructure, MLOps, or production inference systems.</li><li>Experience serving LLMs or other large models at scale.</li><li>Experience operating self-hosted inference and GPU infrastructure.</li><li>Familiarity with inference frameworks such as vLLM or SGLang.</li><li>Experience with post-training infrastructure or inference-performance optimization.</li></ul><h2>Our values</h2><ul><li>Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.</li><li>Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.</li><li>Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.</li><li>Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.</li><li>Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.</li></ul><h2>What we offer</h2>We want our benefits to reflect our values and offer the following to full-time employees:<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized </li><li>Discretionary benefit stipend giving people the ability to spend where it matters most</li><li>Free alphorn lessons</li></ul>These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.<h2>Be you, with us</h2>We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Software Engineer, Inference

<h2>About us</h2>Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/brettaylor/">Bret Taylor</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/claybavor/">Clay Bavor</a>. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.<h2>About the Tech, Media &amp; Telecom team</h2><ul><li>We work with some of the world's most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide.</li><li>We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/posts/claybavor_at-sierra-we-are-very-proud-to-have-partnered-activity-7491200203899760641-I27d?utm_source=share&amp;utm_medium=member_desktop&amp;rcm=ACoAABYjELMBZfjrg-wrv53M1tVXGe93FF3eTww">global events like the World Cup</a> drive millions of customer interactions.</li><li>We bring Sierra’s <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/product/horizon">Horizon</a> vision to TMT by building agents that transform the entire customer relationship:<ul><li>Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time.</li><li>Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention.</li><li>Technology: Bring the white-glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew.</li></ul></li></ul><h2>What you’ll do</h2><ul><li>Design and<a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/meet-the-ai-agent-engineer"> deliver production-grade AI agents</a>: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.</li><li>Drive the<a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/agent-development-life-cycle"> Agent Development Life Cycle</a> (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.</li><li>Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.</li><li>Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.</li></ul><h2>Example projects</h2>These are some examples of projects that engineers on our team have worked on recently:<ul><li>Create agents that pursue goals over weeks and months, reasoning about when to reach out, which channel to use, and what next action will move a customer relationship forward.</li><li>Develop personalization and experimentation systems powered by Sierra's <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/context-engine">Context Engine</a> that combine customer data, behavior, prior conversations, and real-time context to determine the right offer or experience, then learn from every interaction and experiment to autonomously improve personalization over time.</li><li>Design conversational discovery agents that reason across huge content catalogs and rich subscriber context, using interests, history, entitlements, and the moment at hand to help someone quickly find something they'll actually want to watch, read, or listen to.</li><li>Build agents that troubleshoot deeply integrated telecommunications and connected-device experiences, reasoning across account, billing, network, and device systems to diagnose issues and take the actions needed to resolve them.</li><li>Experiment with new voice experiences and <a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/introducing-voice-personas">Voice Personas</a> tailored to each brand, customer, and moment, bringing the right empathy, energy, and conversational style to everything from navigating a frustrating telecom billing issue to helping someone discover their next favorite show or find the plan that's right for them.</li></ul><h2>What you'll bring</h2><ul><li>Experience building and scaling end-to-end production systems.</li><li>Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.</li><li>A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship.</li><li>Comfort working directly with customers to understand their needs and solve real-world problems.</li><li>Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences.</li><li>Excitement in the Tech, Media &amp; Telecom space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers.</li></ul><h2>Even better...</h2><ul><li>Experience building or deploying AI/LLM systems in production</li><li>Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed</li><li>Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering</li><li>Prior experience with React, TypeScript, and/or Go</li><li>Previous roles where you interfaced with customers or led technical projects with external stakeholders</li></ul><h2>Our values</h2><ul><li>Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.</li><li>Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.</li><li>Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.</li><li>Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.</li><li>Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.</li></ul><h2>What we offer</h2>We want our benefits to reflect our values and offer the following to full-time employees:<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized </li><li>Discretionary benefit stipend giving people the ability to spend where it matters most</li><li>Free alphorn lessons</li></ul>These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.<h2>Be you, with us</h2>We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Software Engineer, Agent - Tech, Media & Telecom

<h2>About us</h2>Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/brettaylor/">Bret Taylor</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/in/claybavor/">Clay Bavor</a>. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.<h2>About the Travel, Transportation and Hospitality team</h2><ul><li>The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are frontiers in the travel space, and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us to not only deliver standout customer experiences, driving stronger growth in their business. </li><li>Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint.</li><li>We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard on what it means to go beyond your role, and help build the travel industry of the future.</li></ul><h2>What you’ll do</h2><ul><li>Design and<a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/meet-the-ai-agent-engineer"> deliver production-grade AI agents</a>: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.</li><li>Drive the<a target="_blank" rel="noopener noreferrer ugc" href="https://sierra.ai/blog/agent-development-life-cycle"> Agent Development Life Cycle</a> (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.</li><li>Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.</li><li>Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.</li></ul><h2>Example projects</h2>These are some examples of projects that engineers on our team have worked on recently:<ul><li>Building innovative multimodal experiences: Spearhead cross-cutting initiatives, partnering with the voice and Experience SDK teams to bring to life embedded voice mode in mobile apps. This brand new product allows users to talk, tap and text with our agents all in a single view — unlocking communication through rich visualizations, and accuracy in input collection with chat, with the ease and efficiency of voice.</li><li>Shipping complex booking experiences: Build personalized booking flows, including leveraging Google Maps APIs to support searching for properties via an embedded map view, developing a recommendation engine based on past reservations and orchestrating seamless payment collection to complete the full booking lifecycle.</li><li>Abstracting complex systems into packages: Modernize legacy reservations systems by creating Sierra packages that optimize querying and updating trips for customers across the board. You’ll be challenged to think deeply about how to orchestrate each step of these workflows to maximize efficiency while upholding reliability and accuracy.</li><li>Improving the capabilities of our built in integrations: Expand platform extensibility by introducing new capabilities to our existing integrations. An example is extending our MCP integrations to support MCP UI, which allows customers to dynamically host their custom UI resources on our embedded chat windows.</li></ul><h2>What you'll bring</h2><ul><li>Experience building and scaling end-to-end production systems.</li><li>Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.</li><li>A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship.</li><li>Comfort working directly with customers to understand their needs and solve real-world problems.</li><li>Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences.</li><li>Excitement in the travel space and a genuine care for helping improve the guest experience as a whole. Our customers care deeply about their guests, and we carry that through what we build every day.</li></ul><h2>Even better...</h2><ul><li>Language Fluency: Professional fluency in both Spanish and English.</li><li>Experience building or deploying AI/LLM systems in production</li><li>Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed</li><li>Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering</li><li>Prior experience with React, TypeScript, and/or Go</li><li>Previous roles where you interfaced with customers or led technical projects with external stakeholders</li></ul><h2>Our values</h2><ul><li>Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.</li><li>Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.</li><li>Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.</li><li>Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.</li><li>Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.</li></ul><h2>What we offer</h2>We want our benefits to reflect our values and offer the following to full-time employees:<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized </li><li>Discretionary benefit stipend giving people the ability to spend where it matters most</li><li>Free alphorn lessons</li></ul>These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.<h2>Be you, with us</h2>We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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