AI Product Marketing Manager

About GranicaGranica is an innovative AI research and infrastructure organization dedicated to developing reliable and steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that optimizes large tabular datasets to ensure they remain efficient, reliable, and reversible. This foundation enables us to create Large Tabular Models—systems that learn from cross-column and relational structures to provide trustworthy answers and automated processes with inherent provenance and governance.Product Manager - Research, AI Systems & Structured DataLocation: Downtown Mountain View, CA (office-based, five days a week) Team: Research & Applied SystemsThe MissionThe Research team at Granica is pioneering foundational advancements in:Tabular data learning and large tabular modelsStructured and relational representation learningCompression-aware and efficiency-driven AIHybrid symbolic, relational, and neural systemsThe intersection of information theory, learning theory, and large-scale systemsThese initiatives are intricately linked with real production systems that process petabytes of enterprise data.As the Research Product Manager, your role will be pivotal in ensuring the coherence, efficiency, and scalability of this work—bridging people, concepts, computational resources, and systems to transform groundbreaking research into sustainable capabilities.

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable, steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets are efficient, reliable, and reversible. Leveraging this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, providing trustworthy answers and automation with inherent provenance and governance.Engineering Manager – Foundational Data Systems for AILocation: Mountain View, CA (in-office, 5 days a week)Team: Foundational Data SystemsRole OverviewWe are seeking an Engineering Manager to spearhead Granica's Foundational Data Systems—the essential infrastructure layer upon which all other systems rely.You will oversee a globally distributed team of approximately 15-20 senior engineers based in the US, India, and Canada, with direct accountability for long-lived systems encompassing storage, metadata, and distributed computing. This role transcends traditional people management; it is a hands-on leadership position with significant architectural influence, responsible for crafting systems that must be accurate, durable, and efficient at an enterprise scale.The systems developed by this team are pivotal in determining Granica’s ability to convert cutting-edge research into dependable products, ensuring our customers trust the data foundations that their analytical and AI workloads rely upon.This position is perfect for a technically adept leader who is passionate about team building, designing long-lasting systems, and operating with high levels of trust and ownership.Why This Role MattersContemporary AI and analytics systems face constraints not from models, but from the inefficiency and fragility of the underlying data infrastructure. Redundant data layouts, fragile metadata, and costly execution paths lead to increased expenses, slower iterations, and operational risks.Granica’s mission is to eliminate these inefficiencies at the foundational level.We engineer self-optimizing data systems that perpetually reorganize, compress, and manage structured data to remain efficient, reliable, and reversible as it evolves. These systems act as a resilient substrate for analytics, automation, and AI workloads—where accuracy, provenance, and governance are paramount.

Join Waymo as a Senior Product Manager focused on AI Data and Metrics, where you will lead innovative projects that shape the future of autonomous driving. You will be responsible for defining product vision, gathering requirements, and working collaboratively with cross-functional teams to ensure successful product delivery.Your expertise in AI and data analytics will play a crucial role in optimizing our metrics and enhancing our decision-making processes.

At Study.com, our mission is to unlock the transformative power of education. We develop leading online college credit and test preparation solutions that empower working adults to earn their degrees, enhance their careers, and achieve economic advancement. Recognized by Fast Company and GSV 150 as one of the most innovative education companies globally, we are pioneers in AI-first learning, integrating artificial intelligence with cutting-edge learning science to enhance access and improve outcomes on a large scale.Our impact is reflected in our initiatives, such as Keys to College and Keys to the Classroom, which have collectively saved students over $700 million in tuition, enabling hundreds of thousands of learners to thrive in vital fields including nursing, teaching, counseling, business, and other high-demand professions. We are committed to measurable results and creating products that foster significant, lasting change in individuals’ lives.About the RoleWe are seeking a Senior User Researcher with an AI-first approach to lead and modernize our research team across product development, marketing, and branding, while spearheading the AI transformation within our Research department. This position is tailored for a seasoned, full-stack researcher who possesses expertise in both qualitative and quantitative methodologies, extensive experience in product and marketing research, and the capability to leverage AI to enhance the scale and quality of research at Study.com.You will play a crucial role in guiding our most significant research initiatives in the college credit and professional test preparation sectors, providing the company with strategic and actionable customer insights. Your responsibilities will also include overseeing internal voice of the customer programs, managing contractors, and conducting your own research in high-priority business areas.This position is based in our Mountain View, CA office and requires in-office attendance on Mondays, Wednesdays, and Thursdays.What You’ll DoLead and expand impactful research across product development, brand strategy, and marketing. Independently conduct complex generative and evaluative studies that identify unmet needs, shape product vision, and mitigate risks at scale.Implement advanced AI-driven practices and integrate AI into research workflows to ensure efficiency, quality, and impact. Define what it means to operate AI-natively in research, both internally and for our clients. Stay informed on the latest AI-based research techniques and tools.Identify connections, patterns, and insights across teams, ensuring knowledge is shared to inform decision-making. Collaborate with senior leadership to pinpoint and promote the highest-impact opportunities for research applications.

About Bespoke LabsBespoke Labs is a cutting-edge applied AI research laboratory at the forefront of data and reinforcement learning (RL) environment curation. We are dedicated to training and evaluating intelligent agents through innovative methodologies.Recently, we developed Open Thoughts, an exceptional open reasoning dataset now utilized by leading labs, enabling the training of state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck. We have also successfully taught agents to execute multi-turn tool-calling using reinforcement learning techniques.Bespoke Labs is strategically positioned to capture a significant market share in data curation and RL environment development.About The RoleWe are seeking a Research Engineer to integrate pioneering research with large-scale development and deployment of RL environments. This role will place you at the intersection of research and engineering, collaborating with leading labs and enterprise clients to identify their requirements and transform those insights into systematic environment creation.The ideal candidate will possess both research acumen and execution excellence. You will need to stay abreast of the latest advancements in agent training, effectively communicate with research teams at top labs, and construct robust systems that deliver high-quality environments at scale. You should be equally comfortable with academic literature, prototyping new approaches, and deploying production pipelines.Your collaboration will extend to external partners (frontier labs, enterprise clients) and internal teams, ensuring that our research insights are translated into impactful products that enhance the capabilities of agent training.What You'll DoResearch & CollaborationCollaborate with leading AI labs to comprehend their agent training requirements and design tailored environments.Keep updated with the latest research in RL, agent training, and evaluation methodologies.Prototype innovative approaches for environment generation, curriculum design, and data curation.Convert academic findings into actionable engineering solutions.Environment & Data Pipeline DevelopmentDesign and implement scalable data pipelines for RL environments.Enhance existing systems for performance and reliability.Collaborate with cross-functional teams to deliver integrated solutions.

Join CommerceIQ as the Director of Product Management for AI, where you will lead innovative product strategies that leverage artificial intelligence to enhance e-commerce capabilities. This pivotal role requires a visionary leader who can drive product development, collaborate with cross-functional teams, and deliver exceptional value to our customers.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to advancing cancer drug development. Our mission is to build and operate the premier data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Since our inception in 2013 by the original creators of Apache Spark™, Databricks has transformed from a small office in Berkeley, California, into a global powerhouse with over 1,000 employees. Today, thousands of organizations—from startups to Fortune 100 companies—trust Databricks with their mission-critical workloads, solidifying our status as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scale essential for our customers' success on our platform. We manage one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software must adeptly shield our customers from these challenges. In modern data analysis, sophisticated techniques such as machine learning extend far beyond the traditional SQL query engine's roll-up and drill-down capabilities. As a software engineer on the Runtime team at Databricks, you will contribute to building next-generation distributed data storage and processing systems that not only surpass specialized SQL query engines in relational query performance but also offer the expressiveness and programming abstractions necessary to support varied workloads, ranging from ETL to data science. Here are some example projects you might work on: Apache Spark™: Develop the de facto open-source standard framework for big data. Data Plane Storage: Provide reliable and high-performance services and client libraries for storing and accessing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scale and cost-efficiency of data lakes with the performance and reliability of data warehouses, along with the low latency of streaming. Its higher-level abstractions, including ACID transactions and time travel, significantly simplify real-world data engineering architecture. Delta Pipelines: Managing a single data engineering pipeline can be challenging. The objective of the Delta Pipelines project is to streamline this process.

Join Our Team as a Data Scientist at Otter.aiAt Otter.ai, we are on a mission to transform conversations into meaningful insights. As a Data Scientist in our Product Development team, you will play a pivotal role in harnessing the power of data to shape product strategies, enhance user engagement, and drive monetization efforts. Your analytical expertise will help us refine customer experiences, ultimately contributing to our overall success. If you are enthusiastic about leveraging data to foster business growth and want to be part of a forward-thinking team, we encourage you to apply and help us in our quest to make conversations more valuable.Key ResponsibilitiesCollaborate with Product teams to translate business objectives into actionable data-driven insights.Design and implement predictive models and analytical tools to assess product usage and customer behavior.Analyze large datasets to derive insights that inform strategies for user engagement and revenue generation.Conduct experiments to test hypotheses and evaluate the effectiveness of various product features and strategies.Work closely with cross-functional teams, including Product Management and Engineering, to integrate data insights into product development.

Job Title: Principal Product ManagerLocation: Mountain View, CA - Hybrid (2 days per week in office)About Us: At Witness AI, we have pioneered intent-based AI security solutions. Unlike traditional tools that merely track user interactions with AI, we focus on understanding their objectives—preventing jailbreaks, data breaches, and unauthorized AI usage before they cause harm. Our platform provides critical insights into AI usage within organizations, enabling security teams to proactively manage risks, investigate incidents, and enforce compliance in real-time.The Role: This is an exceptional opportunity for a Principal Product Manager to shape the future of enterprise AI security. You will define how organizations secure their AI initiatives in a rapidly evolving field. Your contributions will set industry benchmarks, and the solutions you deliver will safeguard millions of AI transactions. You will lead the AI Firewall product line and collaborate with multiple engineering scrum teams to develop solutions that meet enterprise customer needs, enhance adoption rates, and maximize customer ROI, while acting as the key communication link between field teams and engineering.What You'll Actually Do:Strategic Planning: Conduct roadmap prioritization, customer discovery calls with enterprise CISOs and security practitioners, discuss governance for generative AI, and perform competitive analysis.Execution: Oversee sprint planning, create rapid prototypes with UX teams, and develop requirements using AI-assisted tools while making real-time trade-off decisions.Customer Engagement: Review proof of concepts with strategic accounts, analyze usage metrics and adoption trends, and translate security requirements into actionable product features.Key Responsibilities:Product Strategy & Roadmap: Own the product strategy and roadmap for the AI Firewall. Determine the competitive landscape and drive prioritization based on customer insights, market trends, and business objectives.Customer & Market Insights: Lead discussions with enterprise CISOs to uncover new AI risk patterns and translate their insights into product specifications, ensuring a balance of compliance, user-friendliness, and revenue considerations.Execution & Delivery: Guide 2-3 scrum teams through sprint planning, facilitate trade-off discussions, and ensure timely product launches.User Experience: Collaborate with UX teams to develop comprehensive user stories and prototypes prior to development, ensuring clear and consistent messaging throughout the product lifecycle.

About CreatifyAt Creatify, we are pioneering the first comprehensive AI advertising agent that automates the entire video ad lifecycle—from scripting and avatar-led generation to testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In a short span of just 18 months, we have achieved over $10 million in annual recurring revenue, catering to over 1.5 million users across more than 10,000 teams. Renowned brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for their personalized, high-performing video ad solutions, all created in mere minutes.With $24 million raised from leading Silicon Valley investors—including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures—we are on a remarkable growth trajectory. Our innovative approach has garnered attention from major media outlets such as Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising veterans in Mountain View as we revolutionize the advertising industry with cutting-edge AI technology.

Earnin is seeking a Senior Product Manager to lead work on Native AI and Core Experience. This full-time role is based in Mountain View, US. Role overview This position centers on developing and refining AI-powered features that shape the way users engage with Earnin’s main offerings. The Senior Product Manager will collaborate with engineering, design, and cross-functional partners to deliver product experiences that align with Earnin’s mission of providing better financial tools. What you will do Drive the development and enhancement of AI-driven products central to Earnin’s user experience. Partner with engineering, design, and other teams to create thoughtful, effective product solutions. Rely on data and user feedback to prioritize features and inform key product decisions. Requirements Background in product management, with experience in AI-driven products or user experience improvements. Ability to collaborate across teams and use data to shape product strategy. Motivation to empower users to manage their finances through technology.

About the Role: Join Contextual AI as a Senior Product Marketing Manager, where you will be instrumental in shaping and implementing innovative marketing strategies to propel the success of our cutting-edge AI products. You will be the voice of our next-generation AI technologies, engaging with customers and the developer community. This role requires close collaboration with cross-functional teams to ensure successful product launches, robust promotion, and sustained market growth. We seek a strategic thinker with a creative approach to problem-solving, a solid analytical foundation, and familiarity with AI and LLM technologies. Key Responsibilities: Serve as the technology subject matter expert, crafting and executing cross-functional go-to-market strategies for new generative AI products, features, and capabilities. Anayze market dynamics, customer behaviors, and competitor strategies regarding AI/ML, translating insights into actionable marketing recommendations. Develop compelling product positioning and messaging that resonates with our target audience. Work closely with product teams to ensure alignment between product features and customer benefits. Design and implement go-to-market plans for new product launches and significant updates. Coordinate with cross-functional teams to ensure seamless execution of marketing campaigns. Create educational content and inspire both internal and external teams regarding the value of our AI capabilities. Collaborate with the content team to maintain a consistent brand voice and messaging. Equip the sales team with the necessary tools and knowledge for effective product selling. Gather customer feedback and insights to continuously enhance our product offerings. Define key performance indicators (KPIs) for evaluating the success of marketing initiatives. Analyze and report on the effectiveness of marketing campaigns, providing data-driven recommendations for improvement.

P-59 At Databricks, we are driven by a mission to empower data teams to tackle some of the most pressing challenges facing our world. Whether it's transforming transportation or accelerating medical innovations, we achieve this by creating and operating the foremost data and AI infrastructure platform. Our customers leverage deep data insights to enhance their business operations. Founded by engineers with a relentless commitment to customer satisfaction, we eagerly embrace every opportunity to address technical challenges—from designing cutting-edge UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning. In modern data analysis, advanced techniques such as machine learning surpass the capabilities of conventional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be instrumental in developing next-gen distributed data storage and processing systems that not only outperform specialized SQL query engines in relational query performance but also offer the flexibility and programming abstractions necessary to support a diverse range of workloads, from ETL processes to data science applications. Key projects you might work on include: Apache Spark™: Contribute to the leading open-source framework for big data. Data Plane Storage: Deliver reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store. Delta Lake: A sophisticated storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, offering features such as ACID transactions and time travel to simplify complex data engineering architectures. Delta Pipelines: Simplify the management of extensive data engineering pipelines, allowing customers to effortlessly orchestrate, deploy, test, and upgrade thousands of data pipelines while minimizing operational burdens. Performance Engineering: Develop the next-generation query optimizer and execution engine that is fast, tuning-free, scalable, and robust.

About Us Nuro is pioneering self-driving technology with a vision to make autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driver, merging advanced AI with robust automotive hardware. Nuro's proprietary technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. Our technology has been validated through years of successful self-driving implementations, offering automakers and mobility platforms a sustainable pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future. Role OverviewWe are seeking a proactive and innovative Product Manager to lead the development of our data infrastructure and labeling systems essential for autonomous vehicle advancement. The quality of data is paramount for our Machine Learning and Behavior teams, and this role is crucial in establishing systems and workflows that instill confidence in the data utilized. You will be responsible for implementing dashboards to automate data reconciliation, setting labeling standards to mitigate costly revisions, and creating scalable infrastructure as our fleet expands. This is a high-responsibility role that involves collaboration across Engineering, Operations, ML, and external vendors to transform processes into dependable, quantifiable systems. Key Responsibilities Enhance Data Visibility: Develop dashboards that integrate mileage data from multiple sources, track collection coverage, and provide insights into existing and missing data for the ML and Behavior teams. Streamline Data Collection: Establish criteria for intelligent data collection strategies to maximize targeting efficiency, driving fewer miles while capturing higher-value data. Expand Infrastructure: Create tools to support operations for over 150 vehicles across diverse cities. Elevate Labeling Standards: Take ownership of labeling specifications, establish quality thresholds, and design a vendor audit system to ensure confidence in output quality. Manage Labeling Tool Roadmap: Prioritize engineering efforts for labeling infrastructure and identify opportunities for cost savings through pre-labeling, optimized task routing, and reduced QA redundancies. Your Profile Problem Ownership: You thrive amidst complexity and ambiguity, ready to tackle fragmented processes and incomplete systems by establishing order and structure. Proven Track Record: You have a strong history of delivering results and driving projects to completion. Technical Acumen: Experience in data infrastructure or product management within tech or automotive sectors is a plus.

OverviewArtificial Intelligence stands as one of humanity's most transformative inventions. At DeepMind, we are a collective of scientists, engineers, and machine learning specialists dedicated to pushing the boundaries of AI technology for the greater good. Our mission is not only to enhance scientific discovery but also to address critical challenges with an unwavering commitment to safety and ethics.Your RoleAs a Product Manager at Google DeepMind, you will play a pivotal role in translating groundbreaking AI research into Google’s AI models and products. Within the Frontier AI team, you will collaborate with exceptional AI researchers who are advancing new model architectures, AGI, and sophisticated applications such as Agents and Robotics. Your focus as the PM for Information Quality will be to analyze the societal impact of generative AI on information ecosystems. You will confront significant challenges related to misinformation, enhance the detection and provenance of generative AI content, and examine the evolving economics of information in an AI-enhanced society. You will also be instrumental in integrating robust safety measures and information integrity improvements into our existing models, while partnering closely with researchers to develop innovative tools that enhance information literacy and assist users in navigating a complex digital landscape.Key Responsibilities:Assess the societal implications of new generative models and spearhead research advancements in information quality, trust, and provenance.Foster collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to deploy state-of-the-art generative AI detection and misinformation mitigation technologies.Collaborate with researchers to conceptualize, develop, and launch new tools aimed at enhancing human information literacy and critical evaluation of AI-generated content.Investigate and model the economics of information to ensure sustainable and high-quality knowledge creation in an AI-rich future.Promote research in AI safety and information integrity, making technical breakthroughs easily accessible to scale across Google’s product ecosystem.Occasionally initiate new products or frameworks focusing on societal resilience and trust.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

ServiceNow seeks a Senior Staff Outbound Product Manager to guide the direction and market impact of its AI Assistant products. Based in Mountain View, this role centers on understanding customer needs and tracking industry trends to shape product strategy. Role overview This position focuses on the strategic development and positioning of AI Assistant technologies. The Senior Staff Outbound Product Manager works closely with teams across product, engineering, and marketing to define both the vision and the roadmap for these offerings. What you will do Lead the strategic development and positioning of AI Assistant products Work with cross-functional teams to set product vision and roadmap Drive go-to-market plans that reflect customer needs and market opportunities Location This role is based in Mountain View.

Reliable Robotics is building automated aviation systems to improve safety and efficiency in air transportation. The team brings together expertise in aerospace, robotics, and autonomous vehicles, working to advance how goods and people move around the world. Role Overview The Senior Production Systems Engineer will join the Production team in Mountain View, CA. This group focuses on delivering high-quality products and services, supporting the company's mission to bring automated aviation systems from concept to production. The role involves technical leadership and strategy for production capabilities, business systems, and factory infrastructure. What You Will Do Design and manage production systems to align with manufacturing processes, quality requirements, and regulatory standards. Plan, develop, and lead the rollout of new features and modules, working with SaaS partners and internal teams. Conduct trade studies to guide choices about business systems and infrastructure. Set up, automate, and monitor key performance indicators (KPIs) to inform improvements in design, product, and process. Key Focus Areas Oversee integrations and performance of Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and Material Requirements Planning (MRP). Lead enhancements using AI, develop and refine production processes, and install factory infrastructure such as printers and inspection tools. Create real-time analytics tools to support operations in a safety-critical environment.

Role Overview matx is hiring an AI Runtime System Software Engineer focused on the Linux Kernel. This position is based in Mountain View, CA. What You Will Do Design and build software to improve the performance and efficiency of AI systems. Work with the Linux Kernel to support advanced AI workloads. Your contributions will help drive the next generation of artificial intelligence technology.