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Relevance AI

Pre- Sales Solutions Engineer

Relevance AI, WorkFromHome

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Overview

Pre‑Sales Solutions Engineer role at Relevance AI. We’re hiring a Pre‑Sales Solutions Engineer focused on pre‑sales (~80%) with light post‑sales handover (~20%). 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.

Location : San Francisco, United States (Hybrid - 3 Days In Office)

Headquartered in San Francisco and Sydney, Relevance AI is building the home of the AI workforce, empowering teams to delegate meaningful work to AI agents that think, act, and collaborate like experts.

About Us At Relevance AI, we’re building the home of the AI workforce. Our mission is to empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. Our technology powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard. We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, with a Series B raised in April 2025. We operate on a hybrid model from San Francisco and Sydney, valuing curiosity, collaboration, and execution.

The Role We’re hiring a Pre‑Sales Solutions Engineer focused on pre‑sales (~80%) with light post‑sales handover (~20%). 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: solution diagramming (Lucid/Mermaid), MEDDICC/solution selling exposure, and creating reusable demo kits.

Why Join Us?

  • Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.
  • We’re guided by our five values: truth‑seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.
  • We’ve set high standards in our high‑trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career‑defining opportunities.
  • Relevance AI is well‑funded by leading investors, including Insights Partners, Peak XV, King River Capital.
  • As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. Your ideas can help define what comes next.

Benefits