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Forward Deployed Solution Engineer (UK)
Prophecy
Leeds/Sheffield/ManchesterHybrid2w ago
About the role
<h3><strong>About Prophecy </strong></h3>
<p>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 <a href="https://www.linkedin.com/company/prophecy-ai">LinkedIn</a>.</p>
<h3><strong>About the Role</strong></h3>
<p>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.</p>
<p>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.</p>
<p><strong>What You’ll Do</strong></p>
<ul>
<li><strong>Own the Technical Win:</strong> Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes</li>
<li><strong>Translate Requirements into Solutions:</strong> Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps</li>
<li><strong>Build & Ship Production Systems:</strong> Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations</li>
<li><strong>Drive Time-to-Value:</strong> Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days</li>
<li><strong>Bridge Pre-Sales to Delivery:</strong> Own the transition from sales to implementation, including scoping, SOW creation, and execution</li>
<li><strong>Act as a Strategic Technical Advisor:</strong> Guide customers on architecture decisions, best practices, and long-term scalability</li>
<li><strong>Identify Expansion Opportunities:</strong> Partner with customers to uncover additional use cases and drive continued adoption and growth</li>
<li><strong>Close the Product Feedback Loop:</strong> Surface recurring challenges and contribute to product improvements through technical insights and specifications</li>
<li><strong>Operate with Ownership:</strong> Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution</li>
</ul>
<p><strong>What You’ll Need</strong></p>
<ul>
<li>5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)</li>
<li>5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)</li>
<li>Strong hands-on experience building and shipping production systems in customer environments</li>
<li>Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)</li>
<li>Experience working with APIs, webhooks, and system integrations</li>
<li>Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows</li>
<li>Experience in cloud environments (AWS, Azure, or GCP)</li>
<li>Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Experience in a high-growth startup or fast-paced environment</li>
<li>Background in solution architecture or technical pre-sales</li>
<li>Experience authoring Statements of Work (SOWs) and scoping customer implementations</li>
<li>Familiarity with data modeling, data pipelines, and large-scale data systems</li>
<li>Comfort working across the full customer lifecycle, from pre-sales through post-deployment</li>
</ul>
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