Senior Lead AI Solutions Consultant

About the role

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.

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

Requirements

Strong written and verbal English language skills are essential.

Qualifications

• A collaborative and trusted approach to working directly with enterprise customers and developing strong, consultative relationships
• An engaging presenter with the ability to communicate effectively with a wide range of stakeholders
• A solid grasp of machine learning, including a familiarity with reinforcement learning
• A background in marketing technology and the ability to develop a perspective on the most effective ways to structure a customer's solution
• An analytically-driven mindset capable of drawing insights from data and performing analysis that is helpful and clear to customers
• A structured and organized approach to structuring a plan, aligning stakeholders, and seeing it through to execution
• The ability to break down complex problems into components and collaborate with the right people to efficiently get to a solution

Skills

• Expertise in machine learning
• Experience in marketing technology
• Ability to draw insights from data
• Structured and organized approach
• Problem-solving skills

Benefits

Braze offers a comprehensive Total Rewards package that includes:

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
• Employee Resource Groups that provide supportive communities within Braze

Pay

The pay range for this position at the start of employment is expected to be between $130,000 and $195,000/year with an expected On Target Earnings (OTE) between $183,000 and $274,000/year (including bonus or commission).

Schedule

The role requires some travel, at most 25% at peak times, and is based in New York supporting our AMER region.