AI Solutions Engineer for Enterprise Sales (Remote)

WorkWave; Holmdel Township (NJ); Remote; USD 115,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Dental

401k with company match

Job summary

WorkWave is seeking a Solutions Engineer to support Account Executives with the technical positioning of Wavelytics, our AI-powered analytics suite. You will act as a trusted advisor to prospects, helping them grasp value and functionality to close deals and build lasting relationships.

With 3+ years in data analytics and AI offerings, you will learn and articulate complex technology, build rapport quickly, and collaborate across product, engineering and sales to maximize feature impact in the

Qualifications

• 3+ years of experience supporting the sales organization with data analytics and AI offerings.
• Ability to learn and articulate complex technology in a way that resonates with customers.
• Proven ability to build rapport, understand business needs and communicate solutions.
• Strategic, customer-focused mindset with strong problem-solving and communication skills.

Responsibilities

• Develop and maintain strong relationships with prospects and key accounts to support deal closure.
• Act as the Wavelytics Product & Sales expert, addressing technical and product questions during the sales cycle.
• Articulate competitive advantages of Wavelytics and AI to differentiate our solutions.
• Discuss data protection, AI best practices and security considerations.
• Collaborate with product, engineering and sales to refine messaging for new features.

Skills

Data analytics

AI offerings

Job description

WorkWave is seeking a Solutions Engineer to support Account Executives with the technical positioning of Wavelytics, our AI-powered analytics suite. You will act as a trusted advisor to prospects, helping them grasp value and functionality to close deals and build lasting relationships.

With 3+ years in data analytics and AI offerings, you will learn and articulate complex technology, build rapport quickly, and collaborate across product, engineering and sales to maximize feature impact in the