Founding Solutions Engineer

Job Description

As a Founding Solutions 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

• 3+ years of experience in a technical pre-sales role, or a similar customer-facing technical role in a B2B AI / ML or environment.
• B.S., or M.S. in Computer Science or a related technical field.
• Have delivered prototypes or products of Generative AI/traditional ML-based solutions.
• Experience with LLM tuning, including understanding potential risks, operational challenges, and deployment complexities.
• Strong technical background with experience in cloud platforms, APIs, and enterprise software integrations.
• Track record of successfully driving technical sales cycles with enterprise customers.
• Exceptional communication and relationship-building skills with both technical and business stakeholders.
• Strong problem-solving and delivery skills, who thrives in a fast-moving, start-up environment with high levels of freedom and ambiguity.

Benefits

• Work at the intersection of AI, and highly regulated industries, solving real-world problems.
• Be a part of a fast-moving, high-growth startup where your contributions will have a direct impact.
• Collaborate with a passionate, forward-thinking team that values innovation and customer success.
• Competitive salary, benefits, and equity opportunities.
• Fully remote, work from home environment
• Flexible working hours
• Paid Time-Off
• Medical, dental, and vision 
• Periodic in-person offsites globally (travel permitting)
• Long-term incentive programs
• Advancement opportunity