Pre- Sales Solutions Engineer

Pre- Sales Solutions Engineer Location 📍: San Francisco, United States (Hybrid - 3 Days In Office) About Us 🚀 At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you want to define how the world works with AI, join us. The Role 🥳 We’re hiring a Pre‑Sales Solutions Engineer focused on pre‑sales (~90%) with light post‑sales handover (~10%). You’ll partner with Account Executives and Enterprise prospects to qualify use cases, lead discovery, design solution architectures, and win the technical decision. You’ll build high‑impact demos and POCs/POVs on our low‑code/no‑code platform (with code where it counts), validate integrations (APIs, auth), and define success criteria, timelines, and ROI. You’ll handle technical evaluations (RFIs/RFPs, security), package reusable assets, and ensure a crisp handoff to post‑sales with clear docs, reference designs, and LOE/SOW inputs. This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team. Your impact💥 - Lead technical discovery to map business goals, requirements, constraints, and success criteria. - Design solution architectures and reference patterns; produce clear diagrams and option trade‑offs. - Build and run high‑impact POCs/POVs: scope, success metrics, timelines, and stakeholder alignment. - Deliver tailored demos that showcase value, ROI/TCO, and operational impact; handle objections and competitive differentiation. - Validate integration feasibility with customer systems via APIs (REST/GraphQL), webhooks, and auth (OAuth2/SAML/JWT); create sample requests and snippets. - Prototype agent workflows, prompts, tools, and light RAG; set evaluation and guardrails for quality. - Respond to RFIs/RFPs and security reviews (data residency, SOC 2, SSO, network options) with crisp, accurate answers. - Estimate implementation effort and contribute to SOWs/LOEs; ensure a clean handover to post‑sales. - Capture customer feedback and influence product roadmap; package reusable demo assets and patterns. - Partner with Account Executives for deal strategy, multithreading, and forecast accuracy. What We’re Looking For 🧠 - 3+ years in Pre‑Sales/ Solutions Engineering for SaaS or platforms (Enterprise focus preferred). - Strong customer communication and storytelling; confident presenting to executives and engineers. - Technical fluency: APIs (REST/GraphQL), auth (OAuth2/SAML), Postman/Insomnia, OpenAPI/Swagger; hands‑on with Python for prototypes and integrations. - Familiarity with GenAI/LLMs: prompt design, basic RAG, embeddings, vector DBs, and major model providers (OpenAI, Anthropic, Azure/Vertex). - Experience building demo environments and POCs on low‑code/AI platforms; ability to translate business needs into practical solutions. - Working knowledge of cloud basics (AWS/GCP/Azure), data privacy/security considerations, and responding to RFPs/security questionnaires. - Bonus: solut ... (truncated, view full listing at source)