Enterprise Sales Engineer - Data Privacy

Ethyca; New York, Northern (NY, KY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Competitive salary & equity

High-growth environment

Job summary

Ethyca is transforming how enterprises manage data privacy, partnering with major brands and rapidly scaling its sales team to solve privacy challenges at scale.

As a Sales Engineer, you will own the technical sales process from discovery to proof‑of‑concept to close, lead product demos and architecture discussions, and translate complex privacy concepts into real business value for executives, data engineers, and legal teams.

Qualifications

• 4+ years in a technical, enterprise pre-sales or sales engineering role.
• Deep understanding of enterprise software, data infrastructure, and APIs.
• Ability to explain complex technical concepts to technical and non-technical audiences.
• Experience working with developers, data engineers, and legal teams in enterprise settings.
• Proficiency with modern data architectures and cloud platforms (AWS, GCP, Azure).
• Strong communication and problem-solving skills.

Responsibilities

• Own the technical sales process, from discovery to proof-of-concept to close
• Work closely with AEs and SDRs in a pod structure to drive enterprise deals
• Lead product demos, technical deep dives, and architecture discussions
• Translate complex privacy engineering concepts into real business value
• Collaborate with Product and Engineering to shape Ethyca's roadmap based on customer needs
• Join the industry's open-source thought leader at a major inflection point

Skills

Sales engineering

Enterprise software

Data architectures

Technical presentations

Tools

AWS

GCP

Azure

Job description

Ethyca is transforming how enterprises manage data privacy, partnering with major brands and rapidly scaling its sales team to solve privacy challenges at scale.

As a Sales Engineer, you will own the technical sales process from discovery to proof‑of‑concept to close, lead product demos and architecture discussions, and translate complex privacy concepts into real business value for executives, data engineers, and legal teams.