4 sales jobs found in San Francisco, CA

About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Manager on the User Operations team, you will lead a team of Product Engagement Specialists responsible for ensuring smooth, successful product launches across internal and external teams. You'll be the glue connecting product teams and support operations, equipping teams with the tools and knowledge needed to support new product rollouts. You'll build scalable feedback loops that...

About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a hands-on lead to build and run OpenAI's Incidents & Escalations function within User Operations. This is a player-coach role with a meaningful hands-on operating component. You will set the operating model and also step into active incidents and urgent escalations when needed, coordinating with...

About Doss DOSS is building an Operations Cloud for the real world. We deliver a modern, AI-native platform that helps physical product businesses manage the flow of goods, dollars, and data across procurement, inventory, orders, fulfillment, and finance in real time. Purpose-built to replace spreadsheet chaos and rigid, consultant-heavy ERP implementations, DOSS delivers fast time-to-value and stays adaptable as a business evolves. Through our Adaptive Resource Platform (ARP) and unified operational data model, teams can deploy quickly, automate workflows, and make changes without months of re-implementation. We recently raised a $55M Series B co-led by Madrona and Premji Invest, with participation from Intuit Ventures, Theory Ventures, General Catalyst, Contrary Capital, and Pathlight VC. DOSS is trusted by fast-growing operators to run critical operations with speed, control, and confidence. About the Role Doss's PMO team is the core engine of DOSS and the success of our...

About the Company Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models. We raised a total of...