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Mechanical engineer • vallejo ca
Founding Sales Engineer
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Rodan Energy Solutions700 University Ave (100% Remote), CAFounding Sales Engineer
Prove.aiCA, US- Teletrabajo
- Quick Apply
As a Founding Sales Engineer, you’ll be the technical bridge between Prove AI’s AI-powered governance management software for our customers’ needs. You will be responsible for technical demonstrations, proof-of-concept (POC) deployments, and solution designs, ensuring that our technology aligns with customer workflows while meeting stringent security and compliance requirements. This is a hands-on role that requires both customer-facing and internal collaboration. You’ll work closely with sales, product, and engineering teams, helping to shape our product roadmap based on customer feedback. Additionally, you will bring expertise in LLM tuning, addressing potential pitfalls, deployment challenges, and operational risks associated with AI models in production environments.
Responsibilities :
- Own technical demonstrations – Create and deliver compelling product demos tailored to audiences ranging from compliance analysts to C-suite executives.
- Lead proof-of-concept (POC) deployments – Design and implement POCs that validate our platform’s value, ensuring compliance with regulatory standards.
- Guide technical evaluations – Work with customers through technical assessments, security reviews, and compliance discussions.
- Collaborate internally – Partner with sales, product, and engineering teams to solve technical challenges and influence product development based on customer needs.
- Build technical assets – Develop reusable demo environments, technical documentation, and best practice guides to support the sales process.
- Support onboarding & implementation – Assist customers in configuring integrations, setting up the software, and ensuring a seamless go-live process.
- Identify new use cases – Work closely with customers to discover additional areas where ProveAI can provide value, driving expansion opportunities.
- Provide expertise in LLM tuning – Work closely with engineering and AI teams to refine and optimize large language models while identifying risks, deployment challenges, and operational inefficiencies.
Requirements
Benefits