
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $69M Series B - Omni on 2025-03
Artificial Intelligence • SaaS • B2B
Omni is an AI-first analytics platform that turns company data into a governed source of truth for trusted answers and insights. It provides natural-language AI chat, BI features (dashboards, visualizations, SQL, spreadsheets with live formulas), and an embeddable analytics stack with semantic modeling, integrations (Snowflake, BigQuery, dbt, etc. ), and enterprise security controls. Omni targets data, business, and product teams to deliver self-serve analytics, white-label embedding, and governed AI for faster decision-making.
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $69M Series B - Omni on 2025-03
Artificial Intelligence • SaaS • B2B
Omni is an AI-first analytics platform that turns company data into a governed source of truth for trusted answers and insights. It provides natural-language AI chat, BI features (dashboards, visualizations, SQL, spreadsheets with live formulas), and an embeddable analytics stack with semantic modeling, integrations (Snowflake, BigQuery, dbt, etc. ), and enterprise security controls. Omni targets data, business, and product teams to deliver self-serve analytics, white-label embedding, and governed AI for faster decision-making.
• Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform. • Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data. • Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed. • Mentor junior Solutions Engineers and help raise the bar on discovery, demo, and POC quality across the team. • Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.
• 7-10 years of experience in enterprise pre-sales business intelligence or data analytics and focused on net new logo acquisition (for ex. Solutions Engineering, Sales Engineering, or Solutions Architecture roles). • B2B saas pre-sales experience required. • Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem. • Proven experience leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with both business and technical stakeholders. • Strong SQL skills, using SQL for analytics. • Exceptional, consultative communication skills across technical and non-technical audiences. • Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).
• Health, dental, and vision insurance. • 401(k) Plan. • Unlimited PTO.
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