Senior Lead Ai Solutions Consultant

## About the role As a Senior Lead AI Solutions Consultant, you will drive new and expansion revenue by increasing understanding and adoption of the BrazeAI portfolio of tools and services. We serve as the pre-sales data scientists to scope use cases, establish credibility with enterprise data scientists, run proofs-of-concept, and lead AI Academies and other educational and advocacy programs. You will work collaboratively and build trusted relationships with technical and non-technical stakeholders, leading with curiosity and inspiring others to transform customer lifecycle marketing. The role requires some travel, at most 25% at peak times, and is based in Austin supporting our AMER region. ## Responsibilities - Represent BrazeAI product portfolio to our top prospects - Lead technical discussions on our cutting-edge data science and answering technical questions - Execute demos and proof of concepts, including facilitating integration, delivering results & insights - Serve as a primary instructor for our AI Academy programs, a 1-day interactive workshop to teach artificial intelligence concepts through guided exercises and discussion - Serve as a thought leader, evangelizing the benefits of AI testing & reinforcement learning - Maintain deep understanding of competitive and complementary technologies and vendors and how to position Braze in relation to them - Collaborate cross-functionally (e.g., sales, marketing, product, engineering) to continuously improve Braze's products and externally facing materials - Support other team members across functions to develop their expertise and to inform future Braze product development - Strong written and verbal English language skills are essential. ## Requirements - Collaborative and trusted: You are experienced working directly with enterprise customers and develop strong, consultative relationships. You lead with curiosity and have deep empathy for customers. You have a demonstrated track record of persuading others. - An engaging presenter: You are an enthusiastic and engaging presenter, with the ability to communicate effectively with a wide range of stakeholders - An expert in machine learning: You have a solid grasp of machine learning, including a familiarity with reinforcement learning - Mar-tech savvy: You understand the marketing technology ecosystem and can develop a perspective on the most effective ways to structure a customer's solution - Analytically-driven: You are able to draw insights from data and perform analysis that is helpful and clear to customers - Structured and organized: You can structure a plan, align stakeholders, and see it through to execution - A problem solver: you are able to break a complex problem into components and collaborate with the right people to efficiently get to a solution - Must be fluent in English, both written and verbal ## What we offer For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $117,000 and $175,000/year with an expected On Target Earnings (OTE) between $164,000 and $247,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.