Technical Account Manager

The Company

We are a high-growth, venture-backed data intelligence platform building the next generation of semantic and agentic AI infrastructure. Our technology bridges the gap between complex enterprise data warehouses and business execution, enabling teams to query, model, and automate workflows seamlessly. As we scale our footprint globally, we are looking for ambitious builders who want to shape the future of modern data stacks.

The Role

As a Technical Account Manager, you will operate at the critical intersection of technical architecture and commercial growth, owning both the technical health and the net retention of our most strategic customers. Your deep expertise in data pipelines and semantic models will be the tool you use to drive product adoption, unlock new value, and secure long-term renewals. This is a high-impact role where your technical execution directly translates to measurable commercial success.

Description

• Own the technical lifecycle, product adoption, and net revenue retention outcomes across your assigned enterprise customer portfolio.
• Design, scope, and deploy complex semantic models and custom data integrations that align with clients' unique business logic.
• Proactively monitor platform usage metrics to identify underutilization or technical friction, intervening early to mitigate renewal risk.
• Discover expansion opportunities within existing accounts by identifying new departments, data sources, or use cases that would benefit from our platform.
• Partner with the product and engineering teams to feed customer insights back into the roadmap, ensuring enterprise requirements are prioritized.
• Lead regular technical business reviews with senior stakeholders to demonstrate product ROI and present optimization strategies.
  
  

• Over 3 years of hands-on experience in customer-facing technical roles such as solutions engineering, technical account management, or data engineering.
• Strong proficiency in writing complex SQL queries and Python scripts for data manipulation and analysis.
• Solid experience working with modern cloud data warehouses including Snowflake, BigQuery, Databricks, or Redshift.
• Proven track record of building semantic models, BI dashboards, and data pipelines from scratch across diverse relational and non-relational systems.
• Comfort aligning technical activities with business outcomes, displaying a natural mindset for customer retention and account growth.
• Excellent communication skills, with a proven ability to translate complex database architectures to non-technical business leaders.
• Practical knowledge of LLM frameworks, vector databases, or agentic AI applications - advantage.