Staff Technical Program Manager - ML/AI Platform

Airbnb, Inc. is looking for a Staff Platform Manager to lead AI Personalization for customer support in the United States. This position centers on developing and executing product strategy for the AI systems that help millions of guests and hosts receive support tailored to their needs. The AI Personalization team maintains the core systems that allow Airbnb’s support AI to understand context and respond with empathy, accuracy, and sound judgment. The goal: ensure every user receives support that feels as thoughtful and effective as Airbnb’s best human agents. Role overview The Staff Platform Manager oversees the full personalization stack, from retrieval systems to the AI interface. This role shapes product direction, drives adoption across Airbnb’s platforms, and champions a support experience that adapts to each guest and host. What you will do Define the long-term vision for personalized community support, ensuring AI understands and advocates for users as a skilled human would. Partner with data scientists, machine learning teams, and operations to identify and develop impactful personalization signals. Collaborate with ML engineers on contextual retrieval systems and prompt design for AI models. Create a multi-year product roadmap to advance AI support for the Airbnb community. Keep customer experience central in all aspects of platform design and delivery. Requirements Experience building or managing technical platforms, ideally in AI or personalization. Comfort working closely with engineering and data science teams on complex systems. Strategic mindset for long-term product planning and execution. Strong commitment to customer experience and delivering personalized interactions at scale.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

About AbridgeFounded in 2018, Abridge is on a mission to revolutionize healthcare understanding through our innovative AI-powered platform. Designed specifically for medical conversations, we enhance clinical documentation efficiency, allowing healthcare professionals to concentrate on what truly matters—their patients.Our cutting-edge technology converts patient-clinician discussions into structured clinical notes in real-time, featuring deep integrations with electronic medical records (EMR). With our unique Linked Evidence and auditable AI, we stand apart as the only company that aligns AI-generated summaries with verified ground truth, ensuring providers can trust and validate our outputs. As trailblazers in generative AI within the healthcare sector, we are setting new benchmarks for the responsible use of AI across health systems.Our dynamic team comprises practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers, all collaborating to empower individuals and enhance the healthcare experience. We have offices in San Francisco’s Mission District, New York’s SoHo neighborhood, and East Liberty in Pittsburgh.The RoleWe are seeking a Staff Product Manager, Data Platform to take charge of our data platform as a product and to establish a comprehensive long-term data strategy across our organization. This pivotal role exists at the crossroads of product management, engineering, machine learning, and data, and entails complete responsibility for the ingestion, storage, querying, and usability of data across various domains.Your responsibilities will extend beyond merely constructing a robust data platform. You must grasp how data serves as a strategic lever in healthcare, directly enhancing clinical workflows, improving customer outcomes, and bolstering machine learning capabilities. Success in this position requires a profound empathy for healthcare use cases and the ability to correlate platform choices with tangible product and customer results.This is a senior, hands-on product management position that requires a strategic thinker who remains closely involved with technical execution. You'll need to balance the pace of rapid experimentation and developer efficiency with the reliability, performance, and scalability integral to a foundational data platform.The data platform is fundamental to nearly every product we develop. In this capacity, you will influence how data is processed throughout the organization, facilitating accelerated innovation while upholding the trust, quality, and compliance standards necessary for healthcare-grade systems. Your decisions will significantly impact product velocity, data quality, and Abridge’s capacity to introduce new product functionalities.

At Databricks, we are driven by a passion for empowering data teams to tackle the world's most challenging problems—from realizing the next mode of transportation to accelerating the pace of medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights for business improvement. Founded by engineers with a strong customer focus, we eagerly embrace opportunities to confront technical challenges, from crafting next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And this is just the beginning.About the Team:The AI Platform team is dedicated to constructing the infrastructure that underpins large-scale machine learning and AI operations on Databricks. Our offerings encompass the entire ML lifecycle—from feature engineering and model training to model deployment and monitoring—empowering data and AI teams to confidently build, deploy, and manage production ML systems. We engage with some of the most technically demanding areas of the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.Our mission is to simplify the process for enterprises to deploy AI at scale. We accomplish this by delivering a unified, governed, and high-performance AI platform that seamlessly integrates with the Databricks Data Intelligence Platform—linking MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a unified experience. You will be part of a team that delivers products utilized by thousands of the world's leading data and AI organizations.In this role, you will shape the vision and roadmap for AI platform product areas, determining how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will work collaboratively across engineering teams to provide a comprehensive and powerful transition from experimentation to production.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a

Who Are We?Postman is the leading API platform worldwide, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We're committed to fostering an API-first world by simplifying the API lifecycle and enhancing collaboration, enabling users to create superior APIs with increased speed.Headquartered in San Francisco, we have expanded our presence with offices in Boston, New York, Austin, Tokyo, London, and Bangalore—the birthplace of Postman. As a privately held company, we are backed by esteemed investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more about us at postman.com or connect with us on X via @getpostman.P.S: We highly encourage you to explore The "API-First World" graphic novel for insights into our vision and the larger narrative.The OpportunityAs a Member of Technical Staff focusing on AI Infrastructure, you'll be instrumental in developing and maintaining the core systems and distributed infrastructure crucial for AI model post-training, inference, and data pipelines. Your role will involve close collaboration with engineering and research teams to ensure the performance, scalability, and reliability of our essential AI systems.What You’ll DoDesign and implement large-scale, distributed AI infrastructure and services.Enhance performance for GPU/xPU accelerators and cloud environments.Develop tools for observability, reliability, and scalability of AI workloads.Collaborate with cross-functional teams to define AI infrastructure requirements and roadmap.Contribute to architectural design and ensure system longevity.About YouExperience with GenAI infrastructure systems, distributed systems, cloud computing, and high-performance infrastructure.Proficient in programming languages such as Python, Go, or equivalent.Understanding of scaling challenges specific to AI workloads and accelerators.

Hello Future Homie!At Homebase, we pride ourselves on being a dynamic, fast-paced team dedicated to empowering small businesses to flourish. Our approach is rooted in empathy, characterized by swift action, and driven by bold initiatives that create significant real-world effects. Every team member, fondly referred to as a 'Homie', is committed to elevating standards, supporting each other, and celebrating collective achievements.We’re not merely developing an application—we’re cultivating unstoppable teams. So, what do you think? Are you ready to join us? Your Impact Begins HereWe are in search of a Staff Product Manager, Platform to collaborate closely with our engineering leadership and help define the foundational platform that supports Homebase's expansion. This role is pivotal for our secure, reliable, and rapid growth.You will take ownership of essential domains such as authentication, authorization, identity, and core business platform capabilities, ensuring they are robust, adaptable, and of the highest quality. This is a highly technical PM position—perfect for someone who enjoys working at the crossroads of product, engineering, and security, and who thrives amidst uncertainty while building for the future.Your Key Contributions Will Include:Co-managing the platform roadmap alongside engineering leadership for authentication, authorization, identity, and shared business capabilities, prioritizing immediate needs while considering long-term scalability, security, and developer efficiency.Collaborating with Engineering and leadership to outline platform strategy, direction, and roadmap.Working closely with cross-functional stakeholders to ensure that mission-critical systems scale effectively and satisfy company requirements.Translating intricate technical concepts into clear product direction, requirements, success metrics, and implications for the customer experience.Leading cross-departmental alignment across Product, Engineering, Security, Infrastructure, and Design to ensure platform decisions account for both system integrity and user experience.Defining and monitoring outcomes related to reliability, security posture, developer efficiency, and scalability.Partnering with Engineering to establish and operationalize platform KPIs, leveraging metrics to guide prioritization and identify gaps in capabilities and services.Proactively identifying risks...

Role Overview: Join Scale AI, a leader in the AI revolution, as we collaborate with the U.S. government and global partners to harness the power of generative AI (GenAI). We are on the lookout for an innovative product leader to spearhead the development of our Agentic AI platforms, which are designed to address critical national security challenges and support high-stakes decision-making. The ideal candidate will possess a robust understanding of product leadership, software engineering principles, and extensive expertise in ML/AI application development. You should have a proven track record in managing complex projects that involve multiple stakeholders or AI-focused initiatives within government or highly regulated environments, with a strong emphasis on ethical AI deployment and effective risk management practices. This role demands a strategic thinker who can adeptly navigate the intricacies of government GenAI projects, ensuring that Scale's public sector AI solutions align with agency goals while meeting stringent security and compliance standards. As the product manager, you will oversee the entire lifecycle of the generative AI platform, which entails product design, program execution, capability prioritization, stakeholder engagement with various government entities, defining engineering scope, crafting detailed project plans, and managing resource allocation and budget considerations. A significant focus will be placed on guaranteeing that Scale's public sector AI solutions operate securely within controlled network environments and are properly configured to enhance government workflows related to national defense. Examples of the GenAI applications we develop include: Agentic warfare and scenario planning Integration of indications and warnings for safeguarding critical continental assets Advanced research capabilities for evaluating extensive classified documentation Dynamic report generation across multiple customized templates Text2SQL intelligence applications to improve analyst efficiency and foster a data-driven decision-making culture Your Responsibilities: Design and develop enterprise-grade solutions leveraging cutting-edge AI and AI agents to deliver exceptional value to public sector clients. Collaborate with Scale executives and clients to shape and execute the product strategy for the business. Take ownership of the end-to-end product development process by identifying customer pain points, defining product requirements, and managing development, testing, and launches. Lead cross-functional teams that include engineering, product design, operations, marketing, and other relevant departments.

Join Laurel as a Staff AI Platform Engineer, where you will be at the forefront of developing cutting-edge AI platforms that drive innovation and efficiency. In this role, you will collaborate with cross-functional teams to create scalable AI solutions that enhance our products and services.

Role overview Harvey seeks a Staff Software Engineer to strengthen the AI Platform team in San Francisco. The position focuses on designing and building advanced software solutions that extend the platform’s AI features. Collaboration is central to this role. The engineer will work closely with colleagues across different teams to deliver systems that are both scalable and efficient. Every project supports Harvey’s broader mission and long-term goals. What you will do Design and implement software components that enhance AI capabilities Work with teams throughout the company to deliver reliable, high-performance systems Contribute to platform improvements that support Harvey’s mission Location This position is based in San Francisco.

Join Composio, where we are revolutionizing the infrastructure that empowers agents to seamlessly connect with the tools you utilize daily, including GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is tackling challenges from context management to search optimization, striving to create the most efficient bridge between your agents and their essential tools.Having secured a $25M Series A funding from Lightspeed, along with support from prominent angels such as Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced significant growth, tripling our ARR this year. Our customers range from fellow Y Combinator alumni to established companies like Wabi, Glean, and Zoom.Your ResponsibilitiesEnhance our platform primitives and APIs, including authentication, automatic refreshes, triggers, tool search, planning, and sandbox management.Oversee multiple runtimes for code execution across Lambdas and Firecracker.Optimize performance through tracing, CPU/heap profiling, database query enhancements, and workflow optimization.Collaborate closely with product engineering teams and customers to effectively manage their workloads and improve our product.Produce clear and comprehensive documentation.Essential QualificationsCore Platform Engineering Skills: Extensive experience in scaling backend distributed systems, maintaining reliable systems while delivering quickly, and managing multiple platform components simultaneously.AI Expertise: Familiarity with building and working with language models.Linux Proficiency: Comfortable working in a Linux environment.Effective Communication: Ability to write well-structured documentation and articulate complex ideas clearly.Interpersonal Skills: Cultivate trust and acknowledge areas for growth.Preferred QualificationsExperience with cloud infrastructure and serverless architecture.

Join Anthropic as a Staff Software Engineer on our Billing Platform team. In this critical role, you will design and implement robust billing solutions that scale with our growing user base. Collaborate with cross-functional teams to enhance our billing capabilities and ensure seamless processing of transactions. Your expertise will be vital in building systems that are not only efficient but also secure and user-friendly.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

Join Lyft as a Staff Product Manager for our AI Platform and Marketplace Applications, where you will drive innovative solutions that enhance user experiences. Collaborate with cross-functional teams to develop and implement product strategies that align with our vision of improving transportation through technology.

Join Figma, a cutting-edge company revolutionizing design collaboration, as a Product Manager for our AI Platform. In this pivotal role, you will lead the development of innovative AI-driven solutions that enhance user experience and streamline workflows. You will work closely with cross-functional teams to define product vision, prioritize features, and deliver impactful results.

Role overview MongoDB is seeking a Head of AI Platform, General Manager to lead its AI strategy and drive key projects. This senior leader will play a central role in shaping the future of AI at MongoDB, working closely with teams across the organization to strengthen AI capabilities. What you will do Set the overall AI platform strategy for MongoDB Oversee AI initiatives from initial concept to final delivery Work with engineering, product, and business teams to embed AI into MongoDB’s platform Evaluate and introduce new technologies that enhance MongoDB’s AI solutions Develop and communicate a long-term vision for AI at MongoDB Location This role can be based in New York City, San Francisco, or performed remotely from anywhere in the United States.

Join us in creating the most dependable on-demand logistics engine for last-mile retail delivery! We are on the lookout for a seasoned machine learning engineer to aid in the development of cutting-edge growth and personalization models that will elevate DoorDash's expanding retail and grocery services.About the RoleWe are seeking a dedicated Applied Machine Learning expert to become part of our innovative team. As a Staff Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic enhancements that enrich the growth and personalization experiences central to our rapidly evolving grocery and retail delivery business. Leveraging our advanced data and machine learning infrastructure, you will implement novel ML solutions to enhance the consumer search experience, making it more relevant, seamless, and enjoyable across grocery, convenience, and various retail sectors. A strong command of production-level machine learning and proven experience in addressing end-user challenges while collaborating effectively with multidisciplinary teams is essential.This position will report to the engineering manager on our Personalization team and is expected to be hybrid, combining both in-office and remote work (#LI-Hybrid).