Director, Applied AI & Enterprise Solutions

Omnifold; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Omnifold is seeking a senior technical sales/solutions role in San Francisco to engage with customers, frame problems, and lead demonstrations of ML-powered data products. You will work with data using Python and SQL, building prototypes to support GTM activities, and partner with customers through pilots and deployments.

The ideal candidate has 10+ years in technical sales or consulting, experience with data science or ML-based products, and a proven track record of managing complex enterprise

Qualifications

• 10+ years of experience in technical sales or consulting roles such as sales engineer, forward-deployed engineer, or solution architect.
• Experience selling ML-based products or with foundational ML concepts is required.
• Ability to manage complex, high-value enterprise sales cycles with attention to detail.

Responsibilities

• Engage directly with real customer problems to deeply understand data and operational challenges
• Frame customer problems clearly
• Lead technical and value-oriented demos for technical and non-technical stakeholders
• Work hands-on with data using Python and SQL
• Build custom demos and prototypes to support GTM activities
• Act as a trusted technical partner during evaluations, pilots, and implementations
• Support active customer deployments to ensure full value of the platform

Skills

Enterprise sales

Solution architecture

Data science background

Project management

Stakeholder engagement

Business intuition

Builder mindset

Tools

Python

SQL

Job description

Omnifold is seeking a senior technical sales/solutions role in San Francisco to engage with customers, frame problems, and lead demonstrations of ML-powered data products. You will work with data using Python and SQL, building prototypes to support GTM activities, and partner with customers through pilots and deployments.

The ideal candidate has 10+ years in technical sales or consulting, experience with data science or ML-based products, and a proven track record of managing complex enterprise