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Solutions Engineer, Pre-Sales (EMEA)

Omni - Dublin, Ireland - Hybrid - posted 2026-09-24

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Omni is an AI analytics platform that transforms company data into a trusted source of truth for AI. Built on a semantic model, Omni provides enterprises with a governed context graph for analytics and AI, enabling teams to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. The company is based in San Francisco and has raised $217M from top-tier investors including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV, with a Series C valuation of $1.5B. As a Solutions Engineer in Pre-Sales for EMEA, you will be a trusted technical expert on the Omni platform, empowering customers to maximize value from their data throughout the customer lifecycle. You will own the technical side of every deal, leading complex technical evaluations from discovery through proof-of-concept, working hands-on in each prospect's own data and environment. Your responsibilities include partnering with the Sales team on technical discovery, demos, and POCs; building and presenting POCs in the Omni platform while helping prospective customers learn to use Omni on their own data; supporting the transition of trials into successful customers by partnering with post-sales teams; and collaborating with Product, Design, and Engineering to relay user feedback and help inform product direction. This is a hybrid role based in Dublin, requiring 3 days per week in-office. Candidates based in the UK have the option to work remotely or out of the London office. REQUIREMENTS: - 4+ years of experience in data analytics or business intelligence with strong customer-facing communication skills - Strong SQL skills, using SQL for analytics - Familiarity with the modern data stack, including cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift) and transformation tools (dbt) - Interest in growing in a pre-sales career path - Passionate about working with data; love learning and enthusiastic about helping and teaching others - Experience with external customers (consulting experience preferred) NICE TO HAVES: - Prior experience with business intelligence and/or enterprise data analytics tools (Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc.) - Startup experience

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