# Senior Technical Account Manager - West

**Company:** [Dataiku](https://hotfix.jobs/companies/dataiku)
**Location:** Remote
**Role:** Customer Success
**Salary:** $150k – $200k/yr
**Experience:** 7+ years
**Skills:** Linux, Networking, Ldap, Kerberos, Active Directory, IAM, AWS, Microsoft Azure, GCP, Kubernetes, Hadoop, Spark, Python, Java, MLOps
**Posted:** 2026-08-21

> Provides strategic technical guidance and hands-on architectural support to a small portfolio of enterprise customers using the Dataiku platform. Requires 7+ years in customer-facing technical roles and expertise across Linux, cloud, Kubernetes, and data-processing ecosystems.

## Job Description

## Responsibilities
- Partner with Customer Success and customers to identify near- and long-term priorities and define engagement plans.
- Manage milestones with Customer Success Managers and customers; contribute to deliverables, provide status updates, and mitigate risks.
- Centralize client technical information and contribute to account strategy.
- Improve Field Engineering scalability through documentation, process optimization, and peer upskilling.
- Advise customers and provide hands-on support for Dataiku platform architecture, deployment, upgrades, security, data management, compute resources, MLOps, and monitoring.
- Troubleshoot product implementations within customer environments.
- Record and communicate feature requests to Product and R&D.
- Advise client technology leaders on companion technologies and Dataiku-related strategies.
- Support innovative Dataiku approaches such as edge computing, deep learning, and advanced MLOps.

## Requirements
- 7+ years of experience in a customer-facing technical role.
- Strong client-facing communication and relationship-management skills.
- Ability to work across pre-sales and post-sales contexts.
- Strong Linux system administration experience, including networking.
- Experience with authentication and authorization systems such as LDAP, Kerberos, Active Directory, and IAM.
- Hands-on experience with cloud services including AWS, Azure, and Google Cloud.
- Hands-on experience setting up, administering, troubleshooting, and tuning Kubernetes ecosystems.
- Experience setting up, administering, troubleshooting, and tuning Hadoop and/or Spark ecosystems.

## Nice to Have
- Python experience.
- Java knowledge.
- Knowledge of MLOps.

## Compensation and Benefits
- US national base pay range: **$150,000–$200,000 USD**.
- Eligible roles may receive commission or other variable compensation.
- Benefits include stock options, medical, dental and vision plans, flexible spending accounts, pre-tax commuter benefits, 401(k) company match, paid vacation and sick leave, paid parental leave, employer-paid disability coverage, and health and wellbeing benefits.

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