Senior Enterprise AI Sales Engineer

WorkWave; New Jersey; Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401k with company match

Remote-first work model

Tuition reimbursement

Paid holidays

Employee assistance program

Quarterly awards

Job summary

WorkWave seeks an Enterprise Sales Engineer to support Account Executives with the technical positioning of Wavelytics. You will act as a trusted advisor to prospects and customers, ensuring they grasp value and functionality to close deals and foster long-term relationships.

The role requires translating complex analytics into business value, delivering technical demos, and collaborating with product/marketing to drive feature adoption and ARR growth.

Qualifications

• 3+ years of sales engineering experience supporting enterprise deals in Data Analytics, BI, or AI/ML solutions.
• Ability to translate complex Decision Intelligence and Generative AI into business value.
• Excellent communication to present data to executive stakeholders.

Responsibilities

• Act as product and sales subject matter expert for Wavelytics across the sales cycle.
• Deliver technical demonstrations of Wavelytics’ Data Factory, Intelligence Hub Dashboards, and Ask WAIve AI agents.
• Highlight competitive differentiators like data models and real‑time data access.
• Partner with key accounts to maximize product adoption and value realization.
• Collaborate with Product/Marketing to feed client feedback into the roadmap.
• Create and maintain technical sales playbooks and demo environments.
• Address client queries on cloud data security and AI best practices.

Skills

Sales engineering

Data Analytics

AI/ML understanding

Tools

Snowflake

Sigma

Job description

WorkWave seeks an Enterprise Sales Engineer to support Account Executives with the technical positioning of Wavelytics. You will act as a trusted advisor to prospects and customers, ensuring they grasp value and functionality to close deals and foster long-term relationships.

The role requires translating complex analytics into business value, delivering technical demos, and collaborating with product/marketing to drive feature adoption and ARR growth.