Senior Manager, Applied Science

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're looking for a highly technical Senior Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of ML researchers and engineers within the Applied Science team. In this role, you will lead the strategy of the Recommendation System innovation team. You will help the team build a balanced portfolio of work that addresses both immediate short-term business impact and long-term strategic breakthroughs in areas like Generative Recommendation System (GenRecSys), Large Sequential Models, and Reinforcement Learning (RL). Partnering closely with executive leadership, product management, and engineering partners, you will evolve our technical roadmap and directly drive Pinterest’s core mission forward. What you will do: Technical Vision and Execution: Own the tech

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where the world's gamers hang out, and increasingly, it's the platform game developers build on. We're seeking a Senior Data Science Manager to lead Data Science for our Developer Platform: the SDKs, identity systems, and developer tools that connect games and their players to Discord. What makes this role distinctive is the two-sided value equation at the heart of the platform. For game developers, we build tools that help studios grow player engagement and revenue, including data products that give them deeper insight into their players and communities. For players, we use signals from those same tools to make it easier to play and hang out with friends, deepen engagement across Discord, and deliver more relevant ads. Your team's job is to make both sides of that exchange demonstrably valuable. That means proving the platform's worth to developers with rigorous evidence, and ensuring the signals it generates create outsized, responsible value for Discord users. If helping make Discord an even better place to hang out with your friends and communities sounds like an exciting challenge - we'd love to chat with you! What you'll be doing Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools. Own the vision and roadmap for data-driven decision-making across the Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord. Strengthen the developer side of the value equation by shaping developer-facing data products, including metr

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking an experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Analyze data to identify risk patterns and inform the design of machine learning models Build, iterate on, and evaluate models that detect risk and anomalous behavior Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance Document modeling approaches and systems, and apply current machine learning best practices What you should have 4+ years of experience in ML engineering or applied ML roles. Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow. Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production. Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions. A growth

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A SENIOR APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on dev

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You'll Do AI is changing what educational technology can do for students, and the question of whether it actually works for learners is one the whole field is still figuring out. At Edmentum, we think that question deserves real evidence. As Manager, Applied AI Research, you will lead the team that produces it. You will design the studies that test whether our AI-enabled features are reliable, valid, and fair, and you will carry those findings into the rooms where product and policy decisions get made. Your work will shape both what we build and how the broader education community understands responsible AI in the classroom. In this role you will: Lead a team of researchers producing rigorous, defensible evidence on the reliability, validity, and fairness of Edmentum's AI-enabled features. Design and oversee research and validation approaches for automated scoring, algorithmic decision support, and emerging AI capabilities. Represent Edmentum in academic, industry, standards-body, customer, and policy-facing forums, and build our external credibility on responsible AI. Partner with Product Management, Technology, Learning and Assessment Design, and Efficacy Research to shape the questions that matter and deliver answers on the timelines that matter. Help set the AI research agenda alongside senior research leadership, then turn those priorities into a clear plan of work for your team. Hire, coach, and develop researchers, and build a team that grows as fast as the

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,