VP of Solutions Architecture
Job Description
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Remote – US-Based
ABOUT THE ROLE:
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.
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, methodologies, and technologies, with a focus on AI-driven security solutions.
- Proven comfort with cloud DevOps, cloud security, command line and leveraging APIs.
- Proficiency in articulating technical concepts and value propositions to both technical and non-technical audiences.
- Experience with conducting product demonstrations, proof of concepts (PoCs), and technical presentations.
- Excellent interpersonal and communication skills, with the ability to build and maintain relationships with clients and internal stakeholders.
- Self-motivated with a passion for technology and a drive for continuous learning and development.
- Willingness to travel as needed to client sites and industry events.
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HiddenLayer
View Company ProfileHiddenLayer (operating at hiddenlayer.com) is a leading AI security platform engineered for safeguarding machine learning systems and generative AI applications. Founded in 2022 by Christopher 'Tito' Sestito, Tanner Burns, and Jim McCarthy, and headquartered in Austin, TX, HiddenLayer specializes in addressing the critical gap in AI security—a domain where traditional cybersecurity tools fall short. While legacy solutions focus on perimeter defenses, HiddenLayer’s AISec Platform provides end-to-end protection, spanning threat detection, supply chain security, and compliance for AI models across their entire lifecycle. Under the hood, the platform combines automated risk assessment, adversarial testing, and agentic AI monitoring to identify vulnerabilities before deployment. This empowers enterprises to deploy AI confidently, mitigating risks like model poisoning, data leakage, and adversarial attacks. Backed by strategic investors including M12 (Microsoft’s venture fund), Moore Strategic Ventures, and IBM Ventures, HiddenLayer has raised $50M in Series A funding, reinforcing its position as a Gartner-recognized Cool Vendor in AI security.
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