# Forward Deployed Solution Engineer \(UK\) - Company: [Prophecysimpledatalabs]() - Location: Leeds/Sheffield/Manchester, UK \(Hybrid\) - Team: Professional Services - Posted: February 13, 2026 ## Job description ### **About Prophecy** The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on [LinkedIn](https://www.linkedin.com/company/prophecy-ai). ### **About the Role** As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup. You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems. **What You’ll Do** * **Own the Technical Win:** Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes * **Translate Requirements into Solutions:** Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps * **Build & Ship Production Systems:** Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations * **Drive Time-to-Value:** Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days * **Bridge Pre-Sales to Delivery:** Own the transition from sales to implementation, including scoping, SOW creation, and execution * **Act as a Strategic Technical Advisor:** Guide customers on architecture decisions, best practices, and long-term scalability * **Identify Expansion Opportunities:** Partner with customers to uncover additional use cases and drive continued adoption and growth * **Close the Product Feedback Loop:** Surface recurring challenges and contribute to product improvements through technical insights and specifications * **Operate with Ownership:** Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution **What You’ll Need** * 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering) * 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering) * Strong hands-on experience building and shipping production systems in customer environments * Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar) * Experience working with APIs, webhooks, and system integrations * Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows * Experience in cloud environments (AWS, Azure, or GCP) * Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders **Preferred Qualifications** * Experience in a high-growth startup or fast-paced environment * Background in solution architecture or technical pre-sales * Experience authoring Statements of Work (SOWs) and scoping customer implementations * Familiarity with data modeling, data pipelines, and large-scale data systems * Comfort working across the full customer lifecycle, from pre-sales through post-deployment Your submission of this information is governed by our privacy policy and our use thereof. ## Apply [Apply on Prophecysimpledatalabs]() Canonical job page: