GTM Operations Analyst - Agent Development

Join Sentry: Where Software Flows SmoothlyAt Sentry, we are committed to eradicating bad software. Our mission is to empower developers to create better software more efficiently so they can truly enjoy technology.With over $217 million in funding and a community of more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are at the forefront of developing performance and error monitoring tools that allow companies to focus on innovation rather than bug fixing.We embrace a hybrid work culture across our global locations, establishing Mondays, Tuesdays, and Thursdays as core in-office days to foster meaningful teamwork. If you are passionate about crafting solutions that enhance digital experiences, we invite you to help us shape the future of software monitoring tools.Your Role: Redefining Support EngineeringAt Sentry, we see support as a critical engineering discipline. Our clientele consists of developers who are pioneering the software of tomorrow, and they deserve more than just surface-level answers. We are elevating the standards of technical support through a combination of expert human insights and sophisticated AI technologies. You will be pivotal in not only resolving intricate technical challenges but also in designing systems that will extend our expertise to millions of developers.As a Sentry Support Engineer, you will orchestrate user interactions across platforms like GitHub, Discord, and our support systems, while also taking the lead as the product owner for our AI agents. Your role is to ensure that when a developer presents a complex question, our AI is equipped with the necessary context, data, and a smooth pathway to connect with you when expert intervention is essential.We are in search of a passionate coder who values customer experience and is keen on the innovative aspects of Agentic Operations. You will be instrumental in expanding our support capabilities through AI, while also acting as a strategic consultant for the most intricate architectural challenges.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Role OverviewJoin Flowith as an innovative AI Agent Development Engineer, where you will serve as the "Architect of Intelligence." Your role involves crafting the cognitive frameworks behind our cutting-edge products. You will connect the intricacies of Large Language Models with real-world applications by developing advanced AI Agents. Your mission is to enhance Flowith Agents, evolving static algorithms into dynamic collaborators that can reason, plan, and execute tasks in partnership with our users.Key ResponsibilitiesCore Development of Agents: Create and implement the foundational reasoning logic for Flowith Agents, enabling them to manage complex planning, tool invocation, and long-term memory.Collaboration Frameworks: Design and optimize multi-agent collaboration systems that enable AI to efficiently navigate the Flowith Canvas, interacting seamlessly with various nodes and external APIs.Performance Evaluation & Optimization: Set rigorous benchmarks to evaluate Agent performance, systematically analyzing reasoning failures or "hallucinations" and iterating on prompts and logic to enhance reliability.Integration & Tooling: Develop and maintain tools ("skills") for Agents, expanding their capabilities to interact with web services, databases, and third-party SaaS platforms.Research & Development: Stay at the forefront of AI research—exploring new model capabilities and agentic patterns—and rapidly prototype features that ensure Flowith leads in the AI-native landscape.

Join Anthropic as a Support Operations Specialist focused on managing AI agents. In this role, you will collaborate with cross-functional teams to enhance our AI systems, ensuring they operate efficiently and effectively. Your expertise will help us maintain high standards of service and innovation in AI management.

About the RoleAs a Visual Design Engineer at Sim, you will take the lead in crafting and advancing our innovative platform for building AI agents. This is where developers come to design, connect, and deploy their AI creations. Your expertise will guide the entire process—from the architectural framework to the refined user interactions—defining how thousands of developers engage with our tools. Your role will integrate UI/UX design with engineering principles, influencing the core interface and real-time systems that power our product.Often likened to 'Figma for AI agents', you will elevate our platform further, enhancing its capabilities, user enjoyment, and efficiency as developers’ workflows become more intricate. Collaborating closely with engineering, design, and product teams, you will ensure a smooth agent-building experience from conception to launch.This is a pivotal position where you will establish benchmarks for visual design, interaction methodologies, and UI responsiveness. In our agile team environment, your influence will extend to all user interactions, allowing for the rapid deployment of impactful features.What You'll DoLead the design and development of Sim's dynamic visual canvas—the real-time, drag-and-drop editor that is central to our platform.Architect and implement user-friendly UI systems tailored for complex agent-building workflows.Design seamless interactions for developers to create, test, debug, and deploy agents within the product.Maintain a fast, beautiful, and resilient user experience as workflows expand in complexity.Ensure visual correspondence with execution: what users perceive should match the operational output.Establish standards for front-end code, component architecture, design systems, and user ergonomics.Collaborate across the stack in our Next.js monorepo, delivering updates to production on a daily basis.Define and enhance UX/UI patterns, focusing on developer satisfaction.What We’re Looking ForA design-oriented engineer with robust experience in React and TypeScript.A strong intuition for UI/UX—your focus is on both aesthetics and functionality.Experience in developing intricate, interactive frontend systems such as canvas editors and collaborative tools.Demonstrated ability to create polished, user-centric developer tools.Comprehensive knowledge of front-end performance, animation, and responsiveness.A proactive mindset with a strong sense of ownership—helping shape the roadmap as well as executing it.

About UsZeta Global (NYSE: ZETA) is an innovative AI-driven Marketing Cloud that harnesses cutting-edge artificial intelligence (AI) and an immense array of consumer signals to streamline the process for marketers in acquiring, nurturing, and retaining customers more effectively. Our Zeta Marketing Platform (ZMP) aims to simplify complex marketing strategies by integrating identity, intelligence, and omnichannel activation into a unified platform—powered by one of the industry's largest proprietary databases and AI. Our enterprise clientele, spanning various sectors, can tailor consumer interactions on an individual basis across all channels, resulting in superior marketing outcomes. Founded in 2007 by David A. Steinberg and John Sculley, Zeta is headquartered in New York City with global offices. Discover more at www.zetaglobal.com.Role OverviewWe are seeking a proactive and skilled Agentic AI Engineer to develop bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This role transcends traditional linear model training and deployment, focusing instead on agentic decision-making, evaluation, and safety in a fast-paced AdTech environment.

Who Are We?Postman is the premier API platform, empowering over 45 million developers and 500,000 organizations globally, including 98% of the Fortune 500. Our mission is to enable the creation of an API-first world by simplifying every phase of the API lifecycle and enhancing collaboration, allowing users to build superior APIs more efficiently.Headquartered in San Francisco, Postman also has offices in Boston, New York, Austin, Tokyo, London, and Bangalore, where we originated. As a privately held company, we are backed by prominent investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or engage with us on X via @getpostman.P.S: We encourage you to read The "API-First World" graphic novel to gain insight into our vision at Postman.The OpportunityAs the AI Agent Development Lead, you will spearhead the design, development, and deployment of cutting-edge AI agents that engage with users and complex environments. You will play a crucial role in shaping the architecture and execution of scalable, dependable AI systems, collaborating closely with research, product, and engineering teams to create safe, interpretable, and efficient AI technologies.What You’ll DoLead a diverse engineering team focused on AI agent development from initial design through to production deployment.Design and implement AI agent architectures utilizing cutting-edge language models and related technologies.Work alongside research scientists to conduct scalable experiments and translate research innovations into product features.Drive the evolution of agent capabilities, including dialogue management, decision-making, and autonomy.Ensure that AI safety and alignment principles are embedded throughout the agent lifecycle.Mentor and develop technical team members, fostering a culture of collaboration and innovation.Assess new tools, frameworks, and methodologies to enhance AI agent development.

Arize AI builds tools for AI and Agent Engineering observability, helping teams monitor, troubleshoot, and optimize artificial intelligence systems. The Arize AX platform brings together build, test, and run workflows in one workspace, supporting engineers as they deploy reliable AI agents and applications. With over $135M in Series C funding and a customer base that includes more than 150 enterprises and Fortune 500 companies, Arize AI works with organizations such as Booking.com, Uber, Siemens, and PepsiCo. Role overview This DevSecOps Engineer position focuses on improving IT infrastructure with an emphasis on security, compliance, and performance. The role supports Arize AI’s remote-first team, contributing to the reliability and safety of the company’s systems and processes. Location While Arize AI operates as a remote company, this role requires residence in the San Francisco Bay Area. Occasional onsite events bring the team together for collaboration and team-building.

WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that integrates cutting-edge artificial intelligence (AI) with vast consumer insights to streamline the process for marketers to acquire, nurture, and retain customers more effectively. Our flagship Zeta Marketing Platform (ZMP) aims to simplify advanced marketing by merging identity, intelligence, and omnichannel activation into one cohesive platform, supported by one of the industry's most extensive proprietary databases and AI capabilities. Our enterprise clients, spanning various industries, are empowered to deliver tailored experiences to consumers on an individual basis across all channels, resulting in improved outcomes for their marketing initiatives. Founded in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City, with offices worldwide. For more information, visit www.zetaglobal.com. ROLE SNAPSHOT We are seeking a proactive Agentic AI Engineer to develop innovative bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This position diverges from traditional roles focused solely on model training and deployment; instead, it emphasizes agentic decision-making, evaluation, and safety within a fast-paced AdTech environment.

ABOUT THE ROLE:As a Full Stack Engineer at Varick Agents, you will play a pivotal role in developing the foundational infrastructure and product interfaces that drive our agent deployments. While this position is not client-facing, your contributions will ensure that each deployment is executed with enhanced speed, reliability, and consistency.This dynamic role requires you to engage with backend services, APIs, data pipelines, and user interfaces. Your responsibilities will include creating the orchestration layer for agent execution and developing the dashboards and controls utilized by clients, ensuring that every line of code you write supports real enterprise operations.WHAT YOU'LL DO:Develop and manage backend services for agent orchestration, tool activation, and workflow execution.Design and implement product interfaces for agent monitoring, human-in-the-loop controls, and client dashboards.Construct data pipelines that integrate with various enterprise systems such as ERPs, CRMs, and data warehouses.Create internal tools that expedite deployment processes and minimize engineering time for individual clients.Ensure the reliability, observability, and performance of production systems.Collaborate closely with Frontend Developers to transform client-specific solutions into reusable platform capabilities.WHAT WE'RE LOOKING FOR:At least 3 years of experience in software engineering, specifically in building production systems.Strong understanding of backend fundamentals including APIs, databases, cloud infrastructure, and distributed systems.Proficiency in full stack development, capable of creating both backend services and the UI that interfaces with them.Production experience with Python.Familiarity with cloud infrastructures such as AWS, GCP, or Azure, including containers, managed databases, and CI/CD practices.A commitment to code quality, testing, and the deployment of stable solutions.HELPFUL EXPERIENCE:Experience integrating with enterprise systems (REST/SOAP APIs, webhooks, ETL pipelines).Knowledge of large language model APIs and agent frameworks.Frontend development experience with technologies like React or Next.js.Experience with Infrastructure as Code tools like Terraform or Pulumi.Background in building multi-tenant SaaS or platform products.Experience in startup or early-stage environments.WHY VARICK:Join an innovative team at Varick Agents where you can make a significant impact through your engineering expertise.

About Sage CareSage Care is a dynamic and rapidly expanding healthcare startup, founded by a team of visionary leaders from major tech companies like Apple, Uber, and Carbon Health, and supported by esteemed venture capital firms including General Catalyst and Chelsea Clinton. Our mission is to revolutionize healthcare by streamlining care navigation, making it accessible and efficient for everyone.Our innovative platform empowers patients to easily locate the right healthcare providers and enables clinicians to prioritize those who require assistance the most. By leveraging cutting-edge AI technologies, we ensure that patients have quicker access to care, leading to improved health outcomes and significant economic advantages at scale.Having established successful partnerships with healthcare systems across the U.S., we are now extending our reach internationally, particularly in the MENA region, where we are collaborating with local health systems to implement our AI-driven care navigation solutions.About the RoleWe are seeking a highly skilled Staff AI Engineer to spearhead the design and advancement of our AI voice agents. This pivotal role will involve creating and managing AI systems that perform effectively in real-world environments.You will be responsible for the comprehensive behavior of our agents, overseeing their orchestration, tool utilization, latency, evaluation, and the management of failures.Your work will involve tackling complex, non-deterministic systems, crafting an architecture that ensures consistency, observability, and scalability in production settings.What You’ll DoDesign and oversee the architecture of AI agents, encompassing orchestration, tool usage, and control flow.Create systems that guarantee reliable agent operation across diverse real-world interactions.Develop and refine evaluation frameworks to assess agent quality and behavior.Identify and troubleshoot complex issues in production, including edge cases, failures, and regressions.Enhance performance across the system stack, focusing on latency, cost, and reliability.Establish patterns and best practices for building and operating AI agents.Mentor fellow engineers and elevate the standards of AI systems design and execution.What We’re Looking ForRequired QualificationsMinimum of 7 years of experience in software engineering.Proven experience in developing and managing AI agents or conversational systems in production settings.Deep understanding of:Agent orchestration and control mechanisms.Real-world systems and their operational challenges.

Superhuman embraces a hybrid working model designed to offer team members the ideal balance of focused work and collaborative, in-person interactions that cultivate trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman, now inclusive of Grammarly, is an AI productivity platform dedicated to unleashing the superhuman potential within everyone. Our suite of applications and agents extends AI capabilities across 1 million+ applications and websites. Our products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, a proactive AI assistant that intuitively understands context and provides automated support. Since our inception in 2009, Superhuman has empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally to reduce busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our core values here.The OpportunitiesJoin us in developing a groundbreaking platform for AI Agents, designed to collaboratively tackle complex tasks, utilizing Superhuman's intuitive UI. As a Machine Learning Engineer on this pioneering team, you will play a critical role in our company's transformation.Shape the Future of Productivity: Take on a vital role in evolving Grammarly from a cherished writing assistant into an indispensable AI-driven productivity suite for enterprises.Build an Innovative AI Agent Platform: Lead the charge in creating a new platform where multiple AI agents work together to address intricate user challenges. You will oversee the core orchestration, routing, and planning systems.Own Key ML Systems: Design and implement advanced machine learning models that enhance core product experiences, including search ranking and proactive suggestions that anticipate user needs.

Join Perplexity as a dynamic AI Software Engineer on our innovative Comet Agents engineering team. We are a tight-knit group of AI/ML specialists, backend developers, and full-stack engineers dedicated to creating engaging agentic experiences within our Comet ecosystem. Our mission is to empower users with AI agents that genuinely understand and fulfill their intents, enabling seamless, open-ended interactions with the digital world.As a key contributor to the Comet Agents team, you will apply your AI expertise, product intuition, and creative problem-solving skills to push the boundaries of what AI agents can achieve for our millions of loyal users. Your work will span applied research and engineering, tackling various challenges in AI, including:Crafting AI agents capable of navigating the digital landscape and executing valuable tasks for users;Developing action and decision models that effectively achieve user-defined objectives based on complex multimodal states;Delivering exceptional user experiences across desktop, mobile, headless cloud, and more, utilizing flexible abstractions and seamless background processes;Implementing secure-by-design capabilities through the creation of permission architectures and payload classifiers;Designing optimal data representations and interaction modes between agents and their environments;And much more!ResponsibilitiesLead the development of cutting-edge AI functionalities within our rapidly evolving AI agents product.Utilize advanced AI models, infrastructure, and browser technologies to enhance capabilities for our expanding user base.Uphold high standards of quality and performance in AI agents and user experience.Collaborate with engineers, designers, product managers, and data scientists to integrate core Perplexity functionalities into Comet agents.Contribute to product reliability, code quality, AI evaluation, testing, and ongoing maintenance across the team.QualificationsSolid foundational knowledge of the complete AI product stack.Experience with AI/ML frameworks and backend development.Proficiency in programming languages commonly used in AI development.Ability to work collaboratively in a fast-paced, interdisciplinary environment.Strong problem-solving skills and a passion for innovation in AI technologies.

About StradaStrada is revolutionizing the insurance landscape by creating a seamless operating layer for AI-driven insurance solutions.Our innovative platform deploys expert AI agents to manage customer interactions across various channels including calls, texts, emails, and chat, effectively handling essential front-office operations such as policy servicing and claims intake. Unlike generic AI platforms, Strada specializes in insurance, providing unmatched domain expertise and product depth.Supported by Y Combinator and leading investors, Strada automates millions of customer interactions for major insurers, MGAs, and brokers, representing over $10 billion in annual premiums. As the industry shifts from experimentation to large-scale AI deployment, we are determined to lead the way.As a compact and dedicated team based in San Francisco, we are already integrated into the production systems of sophisticated insurance firms. If you're eager to tackle challenging problems and help shape the future of a significant industry, we'd love to hear from you.Why Insurance?Insurance plays a critical role in supporting the global economy, enabling businesses to operate, families to recover from adversity, and industries to manage risk. Yet, the operational methods of insurance have remained stagnant for decades, heavily relying on phone calls and outdated systems.We are developing AI solutions that can be integrated into these processes, enhancing efficiency and intelligence dramatically. This is a market valued at over $300 billion that is primed for disruption.The RoleWe are seeking a Founding Product Manager to spearhead AI agent development, which is at the heart of Strada's mission. This role will bridge customer operations, AI capabilities, and product strategy to define and deliver AI agents that manage real insurance workflows effectively.This is not your typical PM position; you will be actively involved in customer interactions, designing workflow evaluations, optimizing prompts, and collaborating with engineers to bring products to market. You will oversee the entire product lifecycle, from conception to post-launch evaluation of success.As a founding member, your insights will directly influence our product roadmap and market approach with AI agents.

About AssembledAt Assembled, we believe that exceptional customer support stems from a harmonious blend of human agents and AI technology. Our innovative platform serves as a unified solution that scales to meet the needs of businesses, such as Canva, Etsy, and Robinhood, ensuring seamless coordination among in-house agents, BPOs, and AI systems. With features like AI Agents capable of resolving issues from start to finish, AI Copilot for agent assistance, and an AI-driven workforce management system that enhances both human and AI efficiency, we empower teams to provide quicker, higher-quality service while making informed staffing and automation decisions. Supported by a robust $70 million investment from NEA, Emergence Capital, and Stripe, we are on a mission to redefine how AI and human collaboration functions.The TeamOur AI Products Team is at the forefront of developing autonomous AI agents designed to tackle the most complex challenges in customer support, allowing human agents to concentrate on high-value interactions. Following a successful product launch, our Assist product line achieved a remarkable 5x growth in just three months, resulting in millions in ARR, with a promising pipeline for continued expansion.We are already implementing our solutions within leading tech companies like Canva, Patreon, and Babylist, which provides us with intricate real-world scenarios and rapid feedback loops to enhance our offerings. Our engineering challenges include creating reliable autonomous agents for customer interactions, designing scalable systems across various communication channels, and pushing the limits of current LLM technology.Under the leadership of CTO John Wang, our team is committed to eradicating low-leverage support tasks and equipping agents to deliver faster and more accurate responses.Potential projects you may engage with:Scaling LLMs with GolangEnhancing RAG results with Reciprocal Rank Fusion and Hybrid SearchPioneering new LLM evaluation techniques

At Superhuman, we embrace a dynamic hybrid working model, allowing team members to enjoy a balance of focused work time and collaborative in-person interactions that foster trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman, now inclusive of Grammarly, is an innovative AI productivity platform dedicated to unlocking the superhuman potential in individuals. Our suite of applications and agents seamlessly integrates AI into the workflow, connecting with over a million applications and websites. Our products range from Grammarly’s writing assistance to Coda’s collaborative environments, Mail’s inbox management, and Go, a proactive AI assistant that understands context and provides assistance automatically. Since our inception in 2009, Superhuman has empowered over 40 million users across 50,000 organizations and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more atsuperhuman.com and explore our values here.The OpportunitiesJoin our team as we develop a pioneering platform for AI Agents to collaboratively tackle complex tasks using Superhuman's intuitive UI. As a Machine Learning Engineer, you will be a key player in our company's transformation.Shape the Future of Productivity: Be instrumental in transitioning Grammarly from a beloved writing companion to a crucial, AI-driven productivity suite for enterprises.Build a Groundbreaking AI Agent Platform: Lead the creation of a new platform where AI agents work together to address intricate user challenges. You will manage the essential orchestration, routing, and planning systems.Own Critical ML Systems: Design and implement advanced ML models for fundamental product experiences, including search ranking and proactive suggestions that foresee user needs.Integrate Cutting-Edge AI: Work at the cutting edge of AI technology, developing ML components that utilize the latest models to craft extraordinary user experiences.Thrive in a High-Impact Environment: Join a foundational team where you will enjoy a high level of autonomy and product insight in a fast-paced, evolving atmosphere.

ML/AI Research Engineer - Founding Team at Agentic AI LabLocation: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + meaningful equity (founding tier)At fabrion, backed by 8VC, we are assembling a top-tier team dedicated to addressing one of the most pressing infrastructure challenges in the industry.About the RoleJoin us in shaping the future of enterprise AI infrastructure, focusing on agents, retrieval-augmented generation (RAG), knowledge graphs, and multi-tenant governance.As an ML/AI Research Engineer, you will spearhead the design, training, evaluation, and optimization of agent-native AI models. Your work will integrate LLMs, vector search, graph reasoning, and reinforcement learning, establishing the intelligence layer for our enterprise data fabric.This role goes beyond prompt engineering; it encompasses the entire ML lifecycle—from data curation and fine-tuning to thorough evaluation, interpretability, and deployment, all while considering cost-effectiveness, alignment, and agent coordination.Core ResponsibilitiesFine-tune and assess open-source LLMs (e.g., LLaMA 3, Mistral, Falcon, Mixtral) for enterprise applications, leveraging both structured and unstructured data.Construct and enhance RAG pipelines utilizing LangChain, LangGraph, LlamaIndex, or Dust, integrating with our vector databases and internal knowledge graphs.Train agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using enterprise task datasets.Develop embedding-based memory and retrieval chains employing token-efficient chunking strategies.Create reinforcement learning pipelines to enhance agent behaviors (e.g., RLHF, DPO, PPO).Establish scalable evaluation harnesses for LLM and agent performance, including synthetic evaluations, trace capture, and explainability tools.Contribute to model observability, drift detection, error classification, and alignment efforts.Optimize inference latency and GPU resource utilization across both cloud and on-premises environments.Desired ExperienceModel Training:Deep understanding of machine learning principles and hands-on experience with model training.

Join Asana as a Senior Engineering Manager focused on AI Agents, where you will lead the development of innovative AI solutions.As a pivotal member of our engineering team, you will collaborate with cross-functional groups to design and implement cutting-edge AI technologies. Your leadership will guide a team of talented engineers in creating intelligent systems that enhance user experience and drive productivity.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.