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 flagship product, DataPilot, and 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 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 Forward Deployed Software Engineer to own the technical success of our customers' deployments. This is a highly technical, customer-facing role requiring deep expertise in modern data stacks, exceptional coding skills, and a passion for solving complex data challenges.
Responsibilities:
Lead the technical implementation, integration, and optimization of Altimate AI's platform within complex enterprise data environments.
Serve as the primary technical point of contact for key accounts, translating customer needs into technical requirements for the product and engineering teams.
Develop custom scripts, integrations, and tools using Python to extend the capabilities of our platform and ensure seamless operation within customer ecosystems.
Troubleshoot, diagnose, and resolve complex technical issues related to data connectivity, performance, and workflow integration.
Contribute to the core product by identifying common integration patterns and developing reusable components or product features.
Conduct technical workshops and provide expert guidance on data best practices, leveraging tools like Snowflake, Databricks, and dbt.
Must have
4+ years of professional software engineering or data engineering experience
Bachelor's or Master's degree in Computer Science or a related technical field
Expert proficiency in Python
Deep, hands-on experience with the modern data stack, including:
Cloud platforms (AWS, GCP, or Azure)
Data Warehouses/Lakes (Snowflake, Databricks, or similar)
Data Transformation/Modeling (DBT)
Workflow Orchestration (Airflow or similar)
Preferred Skills
Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering 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.
