…to bring next-generation AI/ML compute to market at unprecedented scale. We are seeking a **Principal Product Manager - Technical** who will own and…

…developer productivity solutions to improve SRE/Ops efficiency, incident response, troubleshooting, and operational excellence. Research, prototype, and integrate AI technologies to accelerate engineering workflows…

…AI‑Enabled Application Development Deliver production‑grade AI solutions using Azure OpenAI, Azure AI Services, Azure AI Foundry, and custom ML, including RAG architectures…

…from advanced prototyping to production deployment. You Have: Master’s degree in Computer Science, AI, ML, or a related technical field. 8+ years of…

…from first principles Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Familiarity with AI tools for programming…

…Principal Applied Scientists, and policy experts. You'll own the architecture and shape the product direction. As an SDE on the Responsible AI team…

…Principal Applied Scientists, and policy experts. You'll own the architecture and shape the product direction. As an SDE on the Responsible AI team…

…Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management. Ability to manage highly technical team of Site Reliability Engineers. Experience…

…services trends, regulatory requirements, risk management, fraud detection, customer analytics, and AI-driven innovation. Collaborate closely with Product Management, Engineering, Customer Success, and Consulting…

…productive and AI adoptable at scale. What you’ll do The Solutions Architect in the Finance Transformation Office serves as the trusted technical advisor…

…A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and…

…We're seeking a Principal Product Manager to join our Performance Measurement product suite, spanning performance measurement, including attribution, and Marketing Mix Modeling (MMM…

…AI/ML principles and best practices - Ability to connect a customer’s specific business problems and Snowflake’s solutions - University degree in computer science…

…product, risk, and business partners Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration…

…technical trade-offs clearly to both engineering teams and non-technical manufacturing stakeholders Adept at managing project scope and timelines, utilising AI productivity tools…

…compute. You will leverage your technical communication skills to partner with AWS ML services teams and pre-silicon design, and to bring new products…

…In this role, you will define the long-term technical direction for AI security architectural guidance, translate emerging AI/ML security patterns into prescriptive…

…Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. Committed to Ethical AI: Dedicated to building ML…

…in Computer Science, Artificial Intelligence, or a related technical field. 5+ years of industry experience building and deploying scalable, production-ready ML systems in…

…delivered workstreams - Strong understanding of AI/ML and data transformation programs, sufficient technical acumen to engage credibly with technical leads, ask probing questions, and…

…Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Demonstrated experience designing and leading adoption of agentic AI-enabled development practices…

…critical products or services with significant technical scope. Deep expertise in at least one business-critical technology area, such as AI/ML infrastructure, distributed…

…technical product management, with 5 years owning a compiler, runtime, or low-level systems product at scale BS or MS degree in Computer Science…

…Research, prototype, and productionize AI/ML tools to enhance developer productivity, test coverage, and test maturity. Lead code reviews, refactoring, and provide constructive feedback…

…the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark…