Senior Lead AI Solutions Consultant
BrazeChicagoPosted 28 April 2026
Tech Stack
Job Description
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
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
Chicago
supporting our AMER
region.
Activities Include :
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.
WHO YOU ARE
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
For candidates based in the United States, the pay range for this position at the start ... (truncated, view full listing at source)
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