Basic and Required Qualifications:
Technology Stack:- Enterprise and Saas Experience
- Worked on ML/AI cloud native ML products, Data Science tools, and ecosystem
- Hands-on experience building and running highly technical and scalable teams
- Work with product/customer teams on how machine learning can make their product or system better
Management/Leadership Stack:- Experience building and leading expert machine learning teams that have routinely launched new products and features that drive significant revenue and engagement with machine learning.
- Experience developing machine learning products and capabilities in a cloud environment with a good understanding of the product and sales side of the business
- Experience with prioritizing and adding new machine learning-based features and capabilities, launching new products to drive revenue
- Capacity plan pre-sales and post-sales support from within the team. Drive horizontal engineering efforts that improve the efficiency of the pre-sales and post-sales organizations.
- Work with multiple stakeholders within Product, Sales, and Engineering and with Customers to plan releases.
Customer Advocacy Stack:- Candidate should have the business, strategic, and technical background to understand the customer needs to innovate new features and product ideas
- Visionary thinker: Should be able to develop plans for customer acquisition and growth plan, strategic partnership and should be able to interact with internal and external leadership to be successful.
- Great presentation skills - for our typical audience - technical and executive staff for product demos as well as whiteboard machine learning solutions to business problems
Preferred / Good to have Qualifications
- Big and small company experience
- Open source Saas product experience
- GNN/Graph Experience
- Closely worked with product and sales and should be able to update product/feature/customer updates to the executive staff