Founding Product Manager for AI Agent Development

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…

Role Overview Hinge Health is hiring a Lead Product Manager to guide Agentic AI projects from our San Francisco headquarters. This position focuses on developing and launching AI solutions designed to improve patient engagement and outcomes. What You Will Do Drive the vision, strategy, and execution for Agentic AI products. Work closely with engineering, design, and other teams to build and deliver AI features that support patient needs. Shape the product roadmap, ensuring technology aligns with customer requirements. Lead collaboration across functions to bring innovative AI solutions to market. Location This role is based at Hinge Health headquarters in San Francisco.

Join our innovative team at Intuitive Surgical as an Agentic AI Developer. In this role, you will leverage cutting-edge artificial intelligence technologies to enhance our surgical systems and improve patient outcomes. You will work closely with cross-functional teams to design, implement, and optimize AI-driven solutions.

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

About MercorAt Mercor, we sit at the nexus of labor markets and artificial intelligence research. Our partnerships with top AI labs and enterprises allow us to provide the essential human intelligence needed for AI development.Our extensive talent network is dedicated to training cutting-edge AI models, akin to how educators mentor students, sharing invaluable knowledge and context that cannot be captured in code alone. Currently, our network boasts over 30,000 experts who collectively generate in excess of $2 million daily.We are pioneering a transformative work category where expertise fuels AI progress. Realizing this vision demands an ambitious, fast-paced, and deeply committed team. You will collaborate with researchers, operators, and AI companies that are at the forefront of developing systems that redefine society.Mercor is a thriving Series C company, valued at $10 billion, and operates in-person five days a week from our modern San Francisco headquarters.About the RoleWe are seeking a Technology Operations Lead who will be responsible for ensuring the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. You will work closely with the Head of IT to shift from reactive support to proactive, automated systems that preemptively address issues, striking a balance between speed, security, and an exceptional user experience for our technical teams driving the future of AI.Your role will be based in our San Francisco office, where you will collaborate closely with Security, Engineering, and People Operations teams.

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.

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.

About UsAt Humaans, we are pioneering the next generation of workplace infrastructure. Our software is specifically tailored for companies that are experiencing rapid growth, operating on a global scale, and breaking new ground in their industries.What began as a simple record-keeping system has evolved into a comprehensive platform for managing global workforce operations. Our innovative agentic AI layer, Athena, transcends traditional data management by intelligently orchestrating and connecting workflows across HR, IT, Finance, and Operations. This allows organizations to respond swiftly and confidently, fundamentally changing how work is accomplished.We are proud to collaborate with ambitious teams across Europe and the US, from AI-native startups like Lovable, Poolside, Fyxer AI, and Tandem Health, to established high-growth companies such as Quantexa, Sellpy, Manychat, Gigs, Croud, and Threecolts. These teams invest in our software not for mere features but for the leverage it provides: the capability to operate faster, more efficiently, and with enhanced control as complexity increases.Having secured $20 million in funding from esteemed founders, operators, and venture funds, including Lachy Groom (Physical Intelligence), Stewart Butterfield (Slack), Tobias Lütke (Shopify), Dylan Field (Figma), Jeff Weiner (LinkedIn), Claire Johnson (Stripe), Oliver Jay (OpenAI), Jay Simmons (Bond), Y Combinator, Moonfire, Frontline Ventures, Pathlight Ventures, and Exor, we are poised for significant growth.If you possess immense ambition and aspire to tackle challenging problems with a nimble team during a transformative period in the industry, this opportunity is for you.The RoleFollowing the successful validation of our product and operational model internationally, we are now making our way into the US market from San Francisco. Your mission as the Founding GTM Lead will be to spearhead the introduction of Athena AI Agents in the US.In this pivotal role, you will be responsible for driving Athena’s commercial success across America. Your efforts will include securing our most significant US clients, establishing the positioning and sales strategy for Athena within enterprise markets, and setting the benchmark for excellence as we expand.This position demands a hands-on approach, granting you real ownership over the entire sales process. You will engage directly with founders and product teams, shaping the future of our US sales organization—from messaging and sales motions to team hiring and culture. You will not inherit a pre-existing playbook; instead, you will create one.The decisions you make will have long-lasting impacts.What You’ll OwnComplete ownership of Athena's revenue generation in the US.Closing strategic deals with early-stage and design-partner clients in HR, Finance, Operations, and Transformation.Defining the Ideal Customer Profile (ICP), market segmentation, and product positioning for the US.Collaborating with cross-functional teams to ensure alignment and drive success.

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.

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.

Scale AI is on the lookout for an exceptional Staff/Senior Staff Machine Learning Engineer to serve as the Tech Lead (TL) for our innovative deep research agents tailored for enterprise applications. In this pivotal role, you will spearhead the technical vision and oversight for Deep Research Agent Development, converting state-of-the-art research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into powerful, scalable production systems that significantly improve enterprise operations and analytics.The successful candidate will excel in a dynamic environment, possess a fervor for intricate technical challenges, and demonstrate an aptitude for mentorship, while adeptly establishing a long-term technical strategy in a crucial domain without losing focus on hands-on execution.

Join Our Mission to Transform Healthcare Accessibility!At Assort Health, we are dedicated to revolutionizing the healthcare experience, ensuring that exceptional care is available anytime, anywhere, for everyone. Our aim is to create a healthcare environment that feels effortless and connected, characterized by quick responses, clear communication, and seamless access to services.As the leading patient experience platform powered by specialty-specific agentic AI, Assort Health is pioneering the way patients and providers interact. Our omnichannel AI agents integrate flawlessly with EHR/PMS systems and accommodate complex provider preferences, effectively reducing long hold times and enhancing efficiency, allowing patients to receive the care they need promptly.Since our inception in 2023, we have facilitated over 100 million patient interactions, drastically cutting average hold times from 11 minutes to just 1 minute. Our platform now supports thousands of providers with impressive metrics, including 98%+ resolution rates and 99% scheduling accuracy. With an average patient satisfaction rating of 4.5/5 from over 52,000 reviews, we are proud to have achieved 20× revenue growth in 2025. As we scale rapidly, we are expanding our reach across the healthcare sector.About Assort HealthAt Assort Health, our mission is to develop AI-driven systems that empower healthcare organizations to provide faster, clearer, and more human-centric patient experiences. Our AI agents seamlessly integrate into real clinical workflows, alleviating operational burdens and enhancing access to care on a large scale.We focus on addressing critical challenges in healthcare operations, creating production-grade AI that clinicians and patients can rely on daily. You will collaborate closely with our engineering, design, sales, and operations teams to lead innovative AI products from conception to launch, influencing how intelligent agents function, respond, and collaborate within complex healthcare environments.Your RoleLead the Development of Cutting-Edge AI AgentsIn the role of Product Manager for AI Agents, you will collaborate with engineering, design, and customer teams to build production-quality AI systems that handle high-volume and high-complexity interactions. You will be responsible for guiding agents from concept to launch, continuously improving them in response to evolving business needs. Your responsibilities will include scoping new products and managing the end-to-end product lifecycle, leading initiatives from inception to execution. You will work directly with the CEO within a small yet rapidly growing product team, directly impacting healthcare access and enhancing the experience for both patients and providers.

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.

Zyphra is a cutting-edge artificial intelligence company located in the heart of San Francisco, California.About the Position:As our Lead Frontend Engineer - Agentic Interfaces, you will spearhead the design and development of the user-facing elements of our agentic systems. Your expertise will shape the way users engage with AI technology across various platforms, including desktop applications and web browsers. You will collaborate closely with engineers, machine learning researchers, and backend teams to create user experiences that are not only functional but also intuitively accessible.Your Responsibilities Include:Crafting and developing user interfaces for both browser and desktop applicationsCreating and maintaining comprehensive component libraries and styling systemsAnalyzing user interactions and refining user flows based on feedback and usage dataPrototyping and implementing UI features in conjunction with machine learning and backend teamsSimplifying the complexities of AI products to ensure they are accessible and empowering for a diverse user baseQualifications:Proficient in frontend technologies, with a strong command of HTML, CSS, and JavaScript/TypeScriptHands-on experience with modern frameworks, particularly ReactA keen eye for UI detail and usability, maintaining a user-centric approachAbility to rapidly prototype and iterate designs using tools like FigmaExperience in designing responsive, accessible, and high-performance user interfacesStrong understanding of human-computer interaction principles, accessibility, and visual designExcellent communication and collaboration skills to work effectively with engineers, designers, and researchersPreferred Qualifications:Experience in designing or developing browser extensions or desktop applications (e.g., Electron, Tauri)Familiarity with mobile platforms and responsive design is a plusPrior involvement in products featuring complex workflows, automation, or agentic behaviorsInterest or experience in backend development, APIs, or AI systems

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.

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.

Join our innovative team at Pallet as a Forward Deployed Software Engineer specializing in AI Agents. In this pivotal role, you will develop and implement cutting-edge AI solutions that enhance user experiences and streamline operations. Collaborate with cross-functional teams to deliver impactful software that drives our mission forward.

About HightouchHightouch is an innovative AI platform tailored for marketing and growth teams. Our cutting-edge AI agents transform marketing workflows, enabling marketers to efficiently craft content, strategize campaigns, and implement strategies with exceptional speed and effectiveness.Situated at the forefront of two pivotal technological advancements—progress in large language models (LLMs) and agentic AI, alongside the swift adoption of cloud data warehouses like Snowflake and Databricks—Hightouch has emerged as a leader in AI-driven marketing. We proudly collaborate with industry giants such as Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.Our dedicated team is committed to delivering impactful solutions for our clients. We embrace challenges with analytical thinking, prioritize agility, and foster a culture of compassion and support. We seek team members who excel in communication, possess a growth-oriented mindset, and are driven to achieve our collective objectives.The Customer ChallengeWhen you access platforms like Spotify, each user experiences a unique homepage. Similarly, Nike personalizes product rankings based on user preferences, and Chase tailors offers to individual spending habits. This is the essence of web and mobile personalization: dynamically determining what each customer engages with in real-time, directly influencing conversion rates, customer retention, and revenue at critical moments of user interaction.Despite the evident benefits, few organizations excel in this area outside of those developing custom solutions. For instance, a single experiment aimed at assessing whether high-spending users respond more favorably to a loyalty upsell requires a collaborative effort involving analysts, product managers, designers, engineers, and data monitors. Most teams conduct only 5–10 experiments each quarter, often relying on a limited set of static rules that apply to just a fraction of their user base.Existing tools, such as Optimizely, Dynamic Yield, and Adobe Target, address infrastructure needs but fail to resolve the coordination challenges inherent in personalization. Each experiment, audience, and content piece necessitates manual configuration, and many companies find themselves duplicating customer data into proprietary systems, leading to prolonged implementation times and vendor lock-in.Why Agentic AI is the FutureThe transition from