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VP of Solutions Architecture Remote

Remote / Online - Candidates ideally in
Jacksonville, Duval County, Florida, 32099, USA
Listing for: HiddenLayer, Inc.
Full Time, Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Sales Engineer, Technical Sales
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: VP of Solutions Architecture New Remote, US

The VP of Pre-Sales will be responsible for leading and managing the pre-sales team, which works closely with sales, product, and engineering teams to drive revenue by providing technical expertise during the sales process. You will oversee all pre-sales activities, including technical demonstrations, proof of concepts (POCs), and solution architecture, ensuring that our prospects and customers fully understand the value of our SaaS solutions.

This role requires a strong technical background, combined with business acumen and leadership skills, to effectively support complex sales cycles in enterprise environments.

ABOUT HIDDENLAYER:

Hidden Layer protects the world’s most valuable technologies from adversarial AI attacks. Our team of AI professionals and security experts built a patent-pending platform to help organizations adopt AI securely. Our rapid growth and innovation have earned recognition from RSA Innovation Sandbox, CB Insights AI 100, and more.

WHAT YOU’LL DO:
  • Pre-Sales Leadership:
    Lead and manage the pre-sales team, including Sales Engineers and Solution Architects, to deliver exceptional technical support during the sales process.
  • Sales

    Collaboration:

    Partner closely with the sales team to understand customer requirements and design tailored solutions that demonstrate the value of our platform in addressing business challenges.
  • Strategy Development:
    Develop and execute the overall pre-sales strategy, aligning it with the company’s sales goals and ensuring that the pre-sales function supports revenue growth and customer acquisition.
  • Technical Demonstrations:
    Oversee and participate in product demonstrations, solution presentations, and proof-of-concept engagements, ensuring that prospects fully understand the technical capabilities and benefits of our SaaS offerings.
  • Customer Engagement:
    Act as a trusted advisor to prospects and customers, providing deep technical expertise and business insights to help them solve their unique challenges with our SaaS solutions.
  • Cross-Functional Collaboration:

    Collaborate with product, engineering, and marketing teams to ensure the pre-sales team is equipped with up-to-date knowledge on product capabilities, customer use cases, and competitive differentiators.
  • Team Development:
    Build, mentor, and develop a high-performing pre-sales team by providing ongoing training, career development, and support. Ensure the team stays current with industry trends, new technologies, and evolving customer needs.
  • Process Optimization:
    Continuously improve the pre-sales processes, methodologies, and tools to increase efficiency and effectiveness in supporting the sales cycle and closing deals.
  • Customer Feedback:
    Act as a liaison between customers and the product/engineering teams, providing feedback on feature requests and ensuring customer needs are prioritized in the product development roadmap.
  • Reporting & Metrics:
    Define, track, and report on key pre-sales performance metrics (e.g., win rates, POC success rates, time to close) to senior leadership. Use data insights to drive strategic decisions and improvements within the pre-sales function.
  • Stakeholder Management:
    Build and maintain strong relationships with key internal stakeholders, including sales, product, and executive leadership, to ensure alignment on goals and strategy.
WHO YOU ARE:
  • Excellent leadership, coaching, and mentoring skills with the ability to build and develop high-performing teams.
  • Proven experience in a technical sales or sales engineering role within the cybersecurity industry, preferably in the AI security space.
  • Exposure to 2 technologies required:
    Docker, Kubernetes, API Integration, Python/other scripting languages, Cloud networking
  • Strong understanding of cybersecurity principles,…
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