Lead Developer for AI Agent Technology

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.Headquartere…

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.

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.

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.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers through our innovative AI-driven platform. Headquartered in San Francisco, we also have expanding offices in Atlanta, New York, London, France, Singapore, and Japan, fostering a collaborative in-person work culture.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—guide our actions and shape our vibrant culture. We are dedicated to embodying these principles in every aspect of our work.Founded by industry visionaries Bret Taylor and Clay Bavor, we leverage their extensive backgrounds at leading tech companies to drive innovation and excellence in our products.Your RoleAs a vital member of our Agent Development team, you will collaborate closely with Agent Product Managers and Engineers to design, develop, and deploy AI agents capable of managing thousands of customer interactions daily. Your expertise in product strategy, conversational design, and customer insights will be instrumental in creating superior agents that enhance user experiences.Serve as a trusted advisor, guiding clients in shaping their AI strategies.Design, develop, and iterate on conversational AI agents, gaining comprehensive exposure to the product lifecycle.Oversee the execution and successful delivery of complex, high-impact agent development initiatives.Facilitate collaboration among both technical and non-technical stakeholders throughout the agent development process.Foster clear communication and build strong relationships across all stakeholders.Provide data-driven insights to inform strategic decisions for both customers and internal teams.QualificationsExceptional Communication Skills: Proficient in conveying ideas clearly and persuasively, both verbally and in writing.Analytical Mindset: Strong aptitude for data analysis and translating insights into actionable strategies.AI Knowledge: Familiarity with conversational AI technologies and their applications in enhancing customer experiences.Project Management Experience: Proven ability to manage multiple projects simultaneously, ensuring timely delivery and stakeholder satisfaction.

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 us at Agentic AI as a Founding Business Development Representative (BDR) in the vibrant city of San Francisco! In this pioneering role, you will play a crucial part in defining our sales strategy and driving business growth. We are looking for a proactive and enthusiastic individual who is excited about leveraging AI technologies to connect with potential clients and forge lasting relationships.

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.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full capabilities of the contact center. Our innovative platform integrates AI and human intelligence to facilitate the discovery of customer insights, optimize behavioral best practices, automate conversations and streamline inefficient processes, empowering every team member to enhance their productivity and effectiveness. Founded by visionary leaders from Stanford's AI lab, including co-founder Sebastian Thrun, the brain behind Google X and Waymo, our leadership team also features CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Our exceptional team consists of AI and ML experts, go-to-market leaders, and prominent investors such as Andreessen Horowitz, Greylock Partners, and Sequoia Capital, along with industry veterans like former AT&T CEO John Donovan. We proudly serve clients like Intuit, Cox Communications, Hilton, and Carmax and have been recognized by Forbes and Bain Consulting as one of the leading private AI companies worldwide.Embark on this exciting journey with us to redefine the workforce through AI. The future of work is now, and it’s happening at Cresta.

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 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.

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.

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.

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.

Sphere develops AI-driven systems that help businesses navigate and comply with global trade laws. The core platform, TRAM, interprets regulations across more than 190 jurisdictions, enabling clients to stay compliant with speed and accuracy. Backed by a16z and Y Combinator, Sphere operates from its San Francisco headquarters. Role overview The AI Agent Infrastructure Lead guides the technical direction of Sphere’s AI agent infrastructure. This position sits within a small, collaborative team where each person’s contributions directly influence company growth. Sphere’s mission centers on automating compliance for global transactions, from calculation to remittance, to improve efficiency and market access. High reliability is essential, systems are engineered for zero downtime. What you will do Lead technical strategy and architecture for AI agent infrastructure Collaborate closely with a tight-knit team at the San Francisco HQ Ensure systems remain highly reliable and available Why Sphere? Tackle complex infrastructure challenges that affect real-world trade Make a direct impact on a product trusted in over 190 jurisdictions Work alongside a small, dedicated team shaping the company’s future Contribute to the evolution of compliance technology in a rapidly growing company

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.

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 Fieldguide as an Advisory Subject Matter Expert (SME) specializing in AI Agents. In this pivotal role, you will leverage your expertise to guide our clients through the complexities of AI implementations, ensuring they unlock the full potential of intelligent automation. You will collaborate with cross-functional teams to develop strategies, provide insights, and deliver high-impact solutions that drive efficiency and innovation.

Join jerry.ai as a Senior Product Manager for Agentic AI, where you'll lead innovative projects that redefine the role of AI in daily life. You will be responsible for shaping product strategy, managing cross-functional teams, and driving the development of AI-driven solutions that empower users. Your expertise will guide our vision, ensuring we meet customer needs while advancing our technological capabilities.