…Establish and lead the program operating model and governance structure, driving change management and platform adoption to ensure realized value. Orchestrate complex, multi-disciplinary…

…WHO YOU'LL WORK WITH Sales & Sales Leadership, Finance & FP&A, Legal, Revenue Operations, Revenue Accounting, Order Management/Billing, and Product. WHY FIREWORKS? - Solve…

…Establish and lead the program operating model and governance structure, driving change management and platform adoption to ensure realized value. Orchestrate complex, multi-disciplinary…

…Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability. Lead AI-augmented stability monitoring…

…You will contribute to data platforms, semantic models, analytics solutions, and AI-enabled experiences that enable data-driven decision making and operational excellence. Microsoft…

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission…

…competitive, and share those insights with People leadership. Networking & Relationship Building: Represent Snorkel at top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL…

…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…

…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…

…You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems…

…scanning, prioritization, tracking, and closure AI/ML security : awareness of risks specific to AI/ML systems (prompt injection, data poisoning, model extraction, training data…

…related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services…

…marketing, ticketing, digital, data/analytics, and business intelligence functions) into a coherent, value-based pitch, largely from scratch. You'll operate as the "GM…

…Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines. Engineering Excellence, Growth and…

…sharing, opportunity registration) and how to operationalize them at scale Familiarity with AWS's AI/ML and data stack (Bedrock, SageMaker, Redshift, S3/zero…

…inefficient operational tasks, processes and procedures Qualifications Required Qualifications: Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis…

…manager of our applied methods Data Science team, based in the UK, you will lead a group of data scientists who act as trusted…

…Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better…

…As an Engineering Manager, Notifications, you will co-lead a cross‑functional team with a Product Manager, partner closely with data science and ML…

…WHAT WE'RE LOOKING FOR - Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research - Strong…

…managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications. Push the envelope on our operational efficiency by…

…Operating like a startup within a larger company, the team drives the end-to-end shelf data supply chain: ingesting data from retail partners…

…3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with state of…

…We ingest data from retailers and third-party sources and use AI/ML and human operations to validate, enrich, and publish product information at…

…Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns…