Sr. Sales Engineer - Japan

RemoteFullTimeOTE $230k–$295kPosted Jul 15, 2026

Job Title: Senior Sales Engineer

Location: Atlanta, GA or Remote

Reports to: Head of Sales Engineering

 

Company Overview

Witness AI invented intent-based AI security. While legacy tools monitor what users say to AI, we understand what they're trying to accomplish - stopping jailbreaks, data exfiltration, and shadow AI before damage occurs. We provide visibility into how employees and systems use AI - capturing prompts, responses, and agent activity - so security teams can monitor risk, investigate incidents, and enforce guardrails in real time.

 

Role Overview

The Senior Sales Engineer occupies a pivotal role, bridging the gap between our technological solutions and the demands of our clientele by delivering comprehensive technical proficiency, exemplary pre-sales advisory services, and solution architecture design. This position requires close interaction with enterprise-level clients to showcase the platform's functionalities, align technology with customer specifications, and facilitate seamless implementation and adoption.

 

Key Responsibilities

  • Collaborate with the sales team to understand customer requirements and craft tailored AI governance solutions..

  • Conduct compelling product showcases, proof-of-concepts, and presentations illustrating the platform's functionalities.

  • Translate technical capabilities into clear, customer-focused benefits and outcomes.

  • Engage directly with clientele to articulate technical value propositions, addressing technical inquiries and objections effectively.

  • Architect integration strategies between our AI governance software and existing customer technologies, including SASE, firewall solutions, Windows and Mac operating systems, APIs, and SIEM tools.

  • Collaborate closely with product management and engineering teams to represent customer feedback, influence product roadmap, and ensure alignment with market requirements.

  • Remain informed regarding sector developments, specifically in relation to cybersecurity, AI compliance, data governance, and emerging regulatory frameworks.

  • Participate in industry gatherings, webinars, and seminars to enhance brand prominence and thought leadership.

     

    Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; Master's degree or relevant certifications preferred.

  • Minimum of 5-7 years of experience in a technical pre-sales, solutions architect, or sales engineering role, ideally within enterprise software, cybersecurity, or AI governance spaces.

  • Strong familiarity and experience with:

    • Secure Access Service Edge (SASE) (e.g., Zscaler, Netskope, Cato Networks, etc.)

    • Firewall technologies (e.g., Palo Alto Networks, Fortinet, Cisco, Check Point)

    • Windows and Mac operating systems environments

    • API integration and management

    • Security Information and Event Management (SIEM) solutions (e.g., Splunk, QRadar, etc.)

  • Exceptional presentation, communication, and customer-facing skills with the ability to engage technical and business audiences.

  • Ability to articulate complex technical topics clearly and persuasively.

  • Comfortable managing multiple priorities simultaneously in a fast-paced, dynamic environment.

  • Proven track record of effectively collaborating across departments, including sales, product, and engineering teams.

Why Join Us?

  • Impact: Be a key player in scaling a high-growth SaaS startup and directly influencing revenue.

  • Growth: Opportunity for personal and professional growth in an evolving startup environment.

  • Culture: Join a collaborative, innovative, and passionate team focused on solving real-world problems.

Benefits

  • Remote work environment.

  • Competitive salary.

  • Health, dental, and vision insurance.

  • 401(k) plan.

  • Opportunities for professional development and growth.

  • Generous vacation policy.

 

Salary

$230K-$295K OTE (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)

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