Pienomial is a next-generation AI technology company specializing in deterministic knowledge graph infrastructure. They are seeking a technically strong, client-facing Solutions Sales Engineer to bridge architecture with business problems, ensuring technical deal success from discovery to deployment.
Responsibilities:
- Lead deep discovery conversations with enterprise customers (technical, scientific, and business stakeholders)
- Deconstruct the problem to its first principles
- Translate ambiguous customer problems into well-defined solution architectures using Knolens
- Position Knolens’ knowledge graph + AI memory layer architecture against alternatives (RAG, LLM wrappers, vector search) by reframe the conversation around truth, traceability, and decision risk
- Understand customer data ecosystems & define how Knolens integrates into these environments — including: Data ingestion pipelines, Knowledge graph construction, Traceability frameworks
- Design end-to-end solution blueprints tailored to customer use cases (e.g., HEOR, market access, clinical, CI)
- Build and present high-impact demos, POVs, and pilot solutions
- Clearly articulate: Why the solution works, Why it is trustworthy, Why alternatives fail in high-stakes contexts
- Own the technical close in sales cycles — from first architecture discussion through final validation
- Address technical objections with depth (data architecture, AI reliability, integration feasibility)
- Develop written proposals for client submission and work alongside sales leadership to convert opportunities into committed deals
- Ensure seamless transition from solution design → implementation readiness
- Support initial onboarding phases to: Validate solution assumptions, Ensure architectural alignment, De-risk delivery
- Act as the voice of the customer to product and engineering teams
- Identify repeatable solution patterns that can evolve into productized capabilities
- Help shape messaging around enterprise AI trust, traceability, and deterministic intelligence