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Sales Engineer, Data Privacy & Protection

KPMG US

San Francisco, CAOn Site

Original Job Summary

Overview

KPMG Advisory’s fastest growing practice is seeking a Sales Engineer in Technology Risk, focused on Data Privacy & Protection. This role is part of the Consulting practice where you will manage alliance partnerships, drive sales pursuits, and develop innovative DPP solutions leveraging AI and machine learning.

Responsibilities

  • Manage KPMG DPP alliance relationships and sales pipeline
  • Drive large-scale data transformation and managed services sales
  • Innovate next-generation DPP solutions to minimize cyber threats
  • Present and defend technical security tooling decisions
  • Collaborate with cross functional teams (system administrators, data scientists, architects, cyber security engineers)

Qualifications

  • 8+ years in Information Security or related technology field
  • Bachelor's degree or equivalent experience with relevant certifications
  • Proven ability to integrate technology systems and optimize defense layers
  • Willingness to travel and work in a fast-paced, results-driven environment
  • Must be authorized to work in the U.S. without visa sponsorship

Benefits & Culture

KPMG offers a comprehensive compensation and benefits package including medical, dental, vision, life insurance, 401(k), and personal well-being benefits. Employees enjoy a culture that values team collaboration, growth, and continuous learning.

Key skills/competency

  • Data Privacy
  • Technology Risk
  • Cybersecurity
  • Sales Engineering
  • Alliance Management
  • Data Transformation
  • AI
  • Machine Learning
  • Enterprise Systems
  • Automation

How to Get Hired at KPMG US

🎯 Tips for Getting Hired

  • Research KPMG's culture: Review mission, values, and recent news.
  • Customize your resume: Highlight sales engineering skills.
  • Leverage technical certifications: Emphasize cybersecurity and AI experience.
  • Prepare for behavioral questions: Reflect on teamwork and problem-solving.

📝 Interview Preparation Advice

Technical Preparation

Review cybersecurity certification requirements.
Brush up on AI and machine learning basics.
Study enterprise system integration techniques.
Understand risk and compliance frameworks.

Behavioral Questions

Describe teamwork in a fast-paced environment.
Explain handling challenging client situations.
Discuss adapting to rapid technology changes.
Share a time you improved process efficiency.