…About this role We're looking for a Staff Product Manager to treat Faire's data and ML platforms as products: define clear user…

…ROLE SUMMARY We're looking for a Staff Product Manager to own the AI platform every Photoroom product is built on. Our mission is…

…Software Quality Operations / ML Operations Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering…

…SAFe) - Experience managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams - Experience with AI/ML and data transformation programs…

…datasets Preferred qualifications Experience with deal registration systems, partner relationship management (PRM) platforms, and commission management tools Previous experience at an AI/ML or…

…account-based marketing, and demand generation Have experience marketing AI/ML or complex technical products to enterprise customers Have experience building and leading integrated…

…a trustworthy path from the physical and software systems that generate data to the teams and products that use it. The Data Platform team…

…building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage…

…our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a Sr. Staff Quantitative Product Researcher…

…At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data…

…As Senior Staff Product Manager, Device Security, you’ll define the strategy and roadmap for the device security capabilities that help organizations understand, control…

…After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML services including…

…of innovation across technology areas, such as Compute, Storage, Database, Big Data, AI/ML, Networking, Serverless and more. You will have the opportunity to…

…SAFe) - Experience managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams - Experience with AI/ML and data transformation programs…

…Experience implementing Bayesian calibration techniques for handling adversarially-biased, sparse, or imbalanced datasets. Familiarity with data governance practices and platform engineering, specifically managing the…

…It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure. We build…

…enterprise security platforms, specifically Okta (Identity & Access Management) and CrowdStrike (EDR/XDR). - Background working in high-growth technology companies, AI/ML products, or B2B…

…managing engineering teams in customer-facing or forward-deployed environments at scale - Experience building or leading organizations delivering production AI or ML platforms - Track…

…product management of compute solutions that have an outsized impact on accelerating digital transformation across several customer workloads including AI/ML, generative AI, databases…

…Technology segment, with startups or ISVs. - Hands-on proficiency with AI/ML in production: agentic architectures, RAG pipelines, multi-agent orchestration, foundation model integration…

…Expertise in vector databases, GPU-accelerated query engines, or distributed data platforms. Experience supporting the complete AI application lifecycle, from development through production serving…

…Computer Science, AI/ML, or a related field. 12+ years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments. What…

…http://incident.io, Opsgenie, PagerDuty, or similar incident management platforms at scale. - Background in AI/ML infrastructure. Benefits: - Competitive compensation and equity packages - Restricted…

…Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage). Maintain rigorous data integrity and truthfulness…

…Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data. Experience with cloud platforms (Azure preferred) and large…