Founding Solutions Engineer - AI Data Automation Solution (Series A Recent Funding)

Senior Sales Engineer / Solutions Engineer / Solutions Architect / Pre-Sales Consultant – AI & Data Platform (Series A)

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About the Company

We’re working with a fast-growing, Series A company at the forefront of the AI-driven data revolution, tackling one of the biggest pain points in modern enterprise analytics—an overwhelming volume of data and a shortage of skilled data professionals to manage it.

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Their mission is to automate and accelerate data operations so data teams can work smarter, not harder.

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The Role

We’re hiring a Solutions Engineer to join a high-growth go-to-market team and partner closely with Account Executives on complex, enterprise sales cycles.

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You’ll act as the technical authority in the deal — running discovery, delivering high-impact demos, supporting PoCs, and helping customers design solutions across their data ecosystem.

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What You’ll Do

• Partner with Founding GTM team throughout the full sales cycle as the technical lead
• Deliver compelling, tailored product demos to technical and executive stakeholders
• Run technical discovery, solution design, and architecture conversations
• Support PoCs, trials, and enterprise evaluations
• Translate complex data and AI concepts into clear business value
• Provide feedback to Product and Engineering based on customer needs and market signals

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What We’re Looking For

• 4+ years of relevant technical Sales Engineering experience
• Strong SQL proficiency
• Deep understanding and experience with the modern data stack, including:
• Data Warehouses/Lakes (Snowflake, Databricks, or similar)
• Data Transformation/Modeling (DBT)
• Workflow Orchestration (Airflow or similar)
• Python Notebooks
• Experience running product pre-sale product demos and POCs.

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Why This Role?

• Work on a category-defining data & AI platform at the center of the modern data stack
• Join a high-growth, product-led company with strong open-source adoption and enterprise traction
• High impact role with exposure to complex enterprise architectures and cutting-edge AI use cases
• Clear progression, strong leadership team, and real influence on how the product is sold and positioned