Samba
Sales Engineer
New York City, New York · Director
Sponsorship not specified$115k-$135kDetected 141 days ago
PythonSQLAWSGCPAzureCloud PlatformsData EngineeringProduct ManagementSalesCommunicationAdaptability
About the role
- We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen.
Responsibilities
- Build collaborative relationships with enterprise sales teams as a trusted resource for product and technical expertise.
- Actively participate in the entire sales cycle, from discovery to closing, leveraging deep knowledge of Samba's offerings to articulate value and drive decision-making.
- Serve as a trusted advisor, analyzing clients' needs to recommend the best Samba products and demonstrating how they deliver results.
- Leverage expertise in media measurement tools, TV tune-in metrics, and outcomes-based analytics to craft technical solutions that demonstrate Samba's ability to drive success.
Requirements
- 2-4 years of experience in roles such as Sales Engineering, Product Management, or a related field in AdTech, Measurement, or MarTech.
- Strong expertise in media measurement, TV measurement, and data services.
- Hands-on experience with tools and technologies, including SQL, APIs, ETL workflows, and cloud computing platforms.
- Proven ability to pitch, sell, and negotiate with technically minded stakeholders.
Nice to have
- Bachelor's degree in Business, Engineering, Marketing, or a related field.
- An MBA or advanced degree is a plus.
Skills
- Samba is a media intelligence company.
- Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built.
- The biggest brands in the world use that picture to make smarter decisions.
Compensation
- $115k-$135k
Benefits
- Partner with internal teams to align product offerings with market needs, contributing to go-to-market strategies that emphasize measurable client benefits.
This listing is sourced directly from Samba's careers page and normalized into a canonical job model.