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Sales Engineer-Data

About Us:
Altimate AI is 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. Our mission: Automate and accelerate data operations so data teams can work smarter, not harder.

With our pioneering DataMates technology, we’re leading the charge in "agentic AI." Think of this as virtual teammates embedded inside popular workflows—like the VSCode extension loved by hundreds of thousands across 50+ countries—taking care of everything from data documentation to performance optimization. Users rave about how it’s "an essential tool" and "game-changing for their data workflows." This extension is just the tip of the iceberg, a tangible example of how we integrate seamlessly into tools teams already use. Our broader suite of solutions covers a range of enterprise data needs, creating an ecosystem of continuous monitoring, optimization, and streamlined data operations.

Backed by top-tier investors and guided by Silicon Valley veterans who’ve scaled companies from startup to IPO, we have the vision, resources, and momentum to reshape how data teams operate.


Why Join Us:

Altimate AI offers the chance to work on truly cutting-edge agentic AI technology that is solving real, high-impact problems for enterprise data teams globally. You will be a critical bridge between our engineering team and our customers, ensuring our platform is deployed effectively and delivers maximum value.

Read more about us:

The Role:

We are seeking an experienced Sales Engineer - Data to own the technical success of our customers' pre-sales evaluations and initial deployments. This is a highly technical, customer-facing role requiring deep expertise in modern data stacks, exceptional presentation skills, and a passion for solving complex data challenges in a sales context.

Responsibilities:

  • Lead the technical discovery and qualification process, presenting Altimate AI's platform capabilities and value proposition to prospective customers.

  • Serve as the primary technical point of contact for key accounts during the sales cycle, translating customer needs into clear, technical solutions and proof-of-concept requirements.

  • Develop custom scripts, integrations, and demos to showcase the capabilities of our platform and ensure seamless operation within customer ecosystems.

  • Troubleshoot, diagnose, and resolve technical issues during evaluations and proofs-of-concept related to data connectivity, performance, and workflow integration.

  • Contribute to the core product by identifying common sales blockers and integration patterns to provide feedback to the product and engineering teams.

  • Conduct technical workshops and provide expert guidance on data best practices, leveraging tools like Snowflake, Databricks, and dbt.

Must have:

  • 4+ years of relevant technical Sales Engineering experience

  • 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)

  • Experience running product pre-sale product demos and POCs.

Preferred Skills:

  • Pre-Sales Solutions Architect, or similar pre-sales technical role for a B2B SaaS product.

  • Familiarity with Data Governance, Data Quality, and Data Observability principles.

  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Average salary estimate

$170000 / YEARLY (est.)
min
max
$140000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Altimate AI prevents data quality, performance, and governance issues earlier in the data lifecycle. The company was founded in 2022 and is headquartered in Sunnyvale, California, United States.

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Full-time, hybrid
DATE POSTED
November 25, 2025
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