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Full-Time

Solutions Engineering Manager

Foster City, CA

Posted on 6/18/2024

Alluxio

Alluxio

51-200 employees

Data orchestration platform for analytics, AI

Venture Capital
Hardware
Enterprise Software
Financial Services

Mid, Senior

San Mateo, CA, USA

Category
Sales Engineering
Solution Engineering
Engineering Management
Sales & Solution Engineering
Required Skills
Kubernetes
Python
Sales
Apache Spark
Java
AWS
Hadoop
Linux/Unix
Data Analysis
Requirements
  • Minimum 2+ years experience in managing a solutions engineering team
  • Minimum 5+ years of experience as a hands-on solutions engineer
  • Minimum 2 -5 + years of success in directly leading a high-performing Solutions Engineering team within a sales environment
  • Intermediate/Expert Level Linux/Networking/Storage knowledge required
  • Hands-on experience with distributed systems Hadoop, Spark, Presto, HDP, CDH
  • Hands-on Knowledge of Orchestration frameworks like Mesos, Kubernetes
  • Comfortable triaging and troubleshooting complex distributed system problems
  • Formal Leadership Training
  • Familiarity with Java/Python
  • Background in Data Pipelining, Wrangling, and Data Analytics
  • Experience with debugging or troubleshooting concurrency and synchronization issues in an application
  • Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud)
  • Engineering degree desirable
Responsibilities
  • Lead and Manage a solutions engineering team
  • Mentoring and developing the SE team
  • Being hands on in building, owning, and driving PoC processes
  • Map customer requirements to current and future offerings
  • Educate prospects on the business value of Alluxio's offerings
  • Drive progress towards successful sales
  • Transform customer feedback into actionable product roadmap items
  • Continuously learn and update skills in evolving technologies
  • Document best practices and lessons learned

Alluxio provides a data orchestration platform that connects data-driven applications across diverse sources, offering high performance data access for analytics and AI. The platform utilizes multi-tier caching, a unified data access model, and a multi-tenancy architecture to enable faster application onboarding, lower infrastructure costs, and prevent vendor lock-in.

Company Stage

Series C

Total Funding

$82.2M

Headquarters

San Mateo, California

Founded

2015

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-10%

2 year growth

-4%

Benefits

Unlimited PTO

Amazing Medical, Dental, and Vision Plans

Commuter Benefits ($50+)

Everyday Catered Lunch and Dinner

Boba Thursday

Relaxation/Massage Room Onsite

Gym Access

Frequent Company Outings and Trips

INACTIVE