How to apply for AI Solutions Architect- Post-Sales

About HiddenLayer

HiddenLayer builds security tools for machine learning models and algorithms. The company offers threat modeling, ML risk assessment training, red team assessments, and AI/ML model scanning. It was founded by AI and security professionals and has won RSA's Innovation Sandbox, CB Insights AI 100, and CyberTech 100 awards.

About the role

This is a post-sales Solutions Architect role on the customer success team. You will help customers deploy, adopt, and get ongoing value from HiddenLayer's AI security products. You will work directly with customers after the sale to understand their environments, integrate the technology into their workflows, and help them iterate quickly on security and performance outcomes.

A typical day

A typical day may include customer calls to review deployment progress, troubleshooting integration issues in cloud or container environments, and working with internal teams to turn customer feedback into product improvements. You may also help customers iterate on security and performance outcomes after their initial deployment. Exact routines depend on the customer success team's process, so ask about this in interviews.

Who HiddenLayer is looking for

• Has hands-on experience with cloud platforms, containerization, and networking, and can integrate security tooling into customer environments.
• Can work directly with customers after a sale to drive deployment, adoption, and value realization, not just pre-sales demos.
• Understands AI and machine learning security concepts such as adversarial attacks, model scanning, threat modeling, and red teaming.
• Is based in the US, preferably on the West Coast, and can work remotely while collaborating with customers and internal teams.

Tips for this application

• Highlight specific post-sales work: deployments, onboarding, adoption plans, and customer value reviews. HiddenLayer wants someone who works with customers after the sale, not a pre-sales engineer.
• Name the cloud, container, and networking tools you have used in customer environments. The job description lists these as core technologies.
• Show familiarity with AI/ML security topics. Mention adversarial AI attacks, model scanning, risk assessment, or red teaming if you have relevant experience.
• State your US location and willingness to work West Coast hours. The role is remote within the US and prefers West Coast.
• Reference HiddenLayer's products and awards in your application. Mentioning RSA Innovation Sandbox, CB Insights AI 100, or CyberTech 100 shows you did company-specific research.

What to cover in your cover letter

Focus on your post-sales deployment and adoption experience with technical security products. Explain how you have integrated tools into customer cloud, container, and networking environments. Describe how you have translated customer feedback into product or process improvements. Connect your work to AI security outcomes such as model scanning, threat modeling, or red team assessment.

Research before applying

• Read HiddenLayer's product pages on AI/ML model scanning, threat modeling, and red team assessment services.
• Look up the RSA Innovation Sandbox win and the CB Insights AI 100 and CyberTech 100 awards to understand what the company is known for.
• Research adversarial AI attacks and common ML security risks so you can speak to the problem HiddenLayer solves.
• Check HiddenLayer's careers page and recent news to see how the customer success team is structured and what post-sales work looks like there.

Likely interview topics

Based on the job description, expect questions about:

• How you would onboard a customer and drive adoption of an AI security product after the sale.
• A walkthrough of a past deployment where you integrated a security tool into a customer's cloud, container, or networking setup.
• How you would explain adversarial AI attacks, model scanning, or ML risk assessment to a non-technical customer.
• How you handle a customer whose deployment is stalled or who is not realizing value from the product.
• How you collect customer feedback and turn it into actionable improvements for product or engineering teams.

Common mistakes to avoid

• Applying as if this is a pre-sales or sales engineering role. The job is post-sales and focused on deployment, adoption, and ongoing value.
• Listing cloud, container, and networking skills without concrete examples of using them in customer environments.
• Ignoring the AI security context and writing a generic solutions architect cover letter that could apply to any SaaS company.