Technical Account Manager (Data & AI Platform)

Location: United States / Campbell, CA / California; hybrid workplace

Salary: $200,000–$250,000 per year

Company

hirify.global provides the xLake data and AI platform for enterprise customers.

What you will do

• Lead customer technical projects involving reference architectures, implementation guides, demo applications, and production-grade MVPs.
• Advise enterprise customers on architecture, design, deployment, adoption, migrations, and installations.
• Design scalable, secure, high-performance, cloud-native solutions across Kubernetes, cloud platforms, and data workflows.
• Own technical success plans, monitor adoption and deployment health, and mitigate customer risks.
• Collaborate with Sales, Product, Engineering, Project Management, and Support teams to resolve issues and improve customer outcomes.
• Travel to customer sites as needed and communicate technical value, metrics, and product feedback to stakeholders.

Requirements

• 12+ years of experience as a customer-facing architect in enterprise data management, data platforms, or distributed systems.
• Strong knowledge of data pipelines, metadata management, data observability, lineage, governance, data quality, and data catalog tools.
• Experience with AWS, Azure, or GCP, as well as Databricks and Snowflake.
• Hands-on experience with Apache Spark, Kafka, Kubernetes, containerized workloads, and open-source big data technologies.
• Strong consultative, executive communication, stakeholder management, and customer relationship skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is preferred.

Nice to have

• Experience with Informatica, Collibra, Alation, Atlan, or similar data governance tools.
• Experience in a global systems integration or consulting firm managing multiple customer engagements.

Culture & Benefits

• Hybrid work environment.
• Customer-facing role focused on long-term technical success and value realization.
• Opportunity to influence Product and Engineering through structured customer feedback.
• Work with strategic enterprise accounts and complex data platform deployments.