The Role

As AI Deployment Strategist, you'll work across customer success, sales, and engineering to ensure technical clarity and execution—before, during, and after the sale of our cutting-edge F2 product. You'll become the AI prompting authority for the business, forming the technical backbone of the go-to-market motion.

You Will

• Support the F2 sales process by joining prospect and client calls to address technical product questions
• Own customer due diligence: complete InfoSec questionnaires, and continuously improve our DDQ knowledge base
• Audit reports generated by users, flag issues to engineering, and support customers in getting value from our AI
• Prompt engineering: create natural language prompts tailored to customer needs to ensure accurate, relevant report output
• Deliver light technical implementations, such as configuring SSO or provisioning custom data retention policies
• Ensure CRM hygiene: maintain clean, structured data to help the customer success and sales teams scale effectively
• Be the voice of the customer to the engineering team—providing real feedback that helps improve the product
• Experience prompting and working with LLMs and AI SaaS tools
• Familiarity with enterprise information security concepts and due diligence processes
• Strong communicator who is commercially minded, customer-obsessed, and tech fluent. You can explain complex concepts to non technical audiences
• Ability to project manage complex workflows and technical deliverables without writing production code
• Strong on keyboard skills, technically sharp, and eager to find a path to leveling up your coding skills
• Based in SF — we believe the best work is done together, in person at our beautiful corporate HQ in SF. You'll have flexibility to work remotely at least 1 day per week.

Nice to Haves

• Prior experience reviewing or writing investment memos or working as an investment analyst is a big plus
• Previous roles in technical sales, solutions engineering, customer success, or AI implementation
• Familiarity with reporting tools, natural language outputs, or unstructured document processing