Full-Time

Technical Account Manager

Confirmed live in the last 24 hours

Dataiku

Dataiku

1,001-5,000 employees

Develops AI solutions for business operations

Data & Analytics
AI & Machine Learning

Compensation Overview

$150k - $200kAnnually

+ Commission + Variable Compensation

Senior, Expert

Remote in USA

Category
Customer Success Management
Sales & Account Management
Required Skills
Kubernetes
Microsoft Azure
Apache Spark
AWS
Hadoop
Linux/Unix
Google Cloud Platform
Requirements
  • 7+ years of experience in a customer facing technical role
  • Native French speaker or bilingual
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post sale
  • Strong Linux system administration experience including networking
  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Hands-on experience with cloud based services like AWS, Azure and GCP
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
Responsibilities
  • Work with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement plan
  • Manage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks
  • Centralize the technical information about clients and take part to the account strategy and with the other members of the account team
  • Play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling
  • Work with Customer resources as a primary technical advisor, providing guidance and hands-on support on the following matters: Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to Dataiku usage, security, data management, compute resources, ML-Ops, Monitoring, etc.
  • Help clients troubleshoot the implementation of the product within their systems.
  • Ensure that feature requests are effectively recorded and communicated to product and R&D
  • Advise client tech leaders on choices around new companion technologies and tech strategies around Dataiku
  • Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have significantly improved clients' forecasting accuracy and data processing speeds, exemplified by a retail client that increased forecast runtime by 900% with 88% accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing its offerings through seamless integration with AWS AI services. Dataiku's goal is to empower businesses to effectively leverage AI for better decision-making and operational efficiency.

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

5%

2 year growth

7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku Stories empowers users to create visual presentations with Generative AI.
  • Recognition by Morgan Stanley highlights Dataiku's platform effectiveness in global enterprises.
  • Inclusion in Forbes Cloud 100 enhances Dataiku's reputation as a leading AI platform.

What critics are saying

  • Increased competition from AI platforms like Databricks may erode market share.
  • High costs of generative AI initiatives may limit adoption among potential clients.
  • Reliance on partnerships like AWS poses risks if strategic directions change.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and data analytics.
  • Partnerships with AWS and Rower Consulting expand Dataiku's industry reach and capabilities.
  • Dataiku's LLM Guard Services ensure controlled Generative AI rollouts in enterprises.

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Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events