Full-Time

Principal Solutions Engineer

Confirmed live in the last 24 hours

Alluxio

Alluxio

51-200 employees

Data management solutions for AI workloads

Compensation Overview

$250k - $350k/yr

+ Equity (Stock Options) + Comprehensive Benefits Package

Senior, Expert

San Mateo, CA, USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Kubernetes
Python
Data Science
Apache Spark
SQL
Java
Hadoop
Linux/Unix
Requirements
  • Strong background in database technologies and server infrastructure, including experience in building and deploying databases
  • Experience with orchestration frameworks (Kubernetes), and Linux/Networking/Storage
  • Familiarity with distributed systems (Hadoop, Spark, Presto)
  • Implementing and troubleshooting technical solutions, including the ability to conduct in-depth technical evaluations in complex, multi-technology environments
  • Demonstrated ability to troubleshoot complex technical issues in distributed systems and deliver effective solutions
  • Expertise in designing and delivering compelling technical demos, tailored to meet the specific needs of prospective customers
  • Demonstrated ability to lead technical presentations and discussions with executives, effectively translating complex technical concepts into business value propositions that resonate with senior leadership
  • Ability to build and maintain strong relationships with key stakeholders at all levels, ensuring alignment with customer needs and driving long-term success
  • Proficiency in shell scripting, Java, Python, SQL, with a solid understanding of data pipelining and large scale analytics databases
  • BA/BS in Computer Science, Engineering, or a related field is required. An advanced degree is a plus
  • Hands-on skills as a solutions engineer, solutions architect, professional services engineer, or technical account manager with a proven track record in supporting all phases of the technical sales cycle
Responsibilities
  • Lead the technical aspects of the sales process, from initial customer meetings through proof of concept (PoC) and final close
  • Work closely with our Solutions Engineering Manager and cross-functional teams to design solutions that leverage Alluxio’s capabilities to meet specific customer requirements, with a strong focus on database architecture and deployment
  • Take ownership of PoC processes in multi-technology environments, driving technical evaluations that demonstrate the value of Alluxio’s solutions in real-world scenarios
  • Conduct training sessions and workshops to empower customers to fully utilize Alluxio’s products, ensuring they realize the maximum business value
  • Stay ahead of industry trends, particularly in AI and big data, and use this knowledge to position Alluxio’s offerings effectively against the competition
  • Actively gather feedback from customers and collaborate with our product management and engineering teams to drive product enhancements that address market needs
  • Develop and maintain comprehensive documentation, including best practices and lessons learned, to support scalable and repeatable solutions

Alluxio.io is a data platform that enhances the efficiency of Artificial Intelligence (AI) and Machine Learning (ML) workloads for businesses. It offers two main products, Alluxio Enterprise Data and Alluxio Enterprise AI, which simplify data management across various infrastructures. By addressing challenges like data silos and low performance, Alluxio helps accelerate model training and serving while maximizing infrastructure utilization. The company's goal is to improve business performance through effective data management solutions tailored for AI and ML.

Company Size

51-200

Company Stage

Series C

Total Funding

$81.5M

Headquarters

San Mateo, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-optimized data platforms boosts Alluxio's market potential.
  • Recognition as a top open source project enhances Alluxio's brand reputation.
  • Partnership with NetApp expands Alluxio's market reach and collaborative opportunities.

What critics are saying

  • Increased competition could erode Alluxio's market share in AI data management.
  • Rapid technological advancements may render Alluxio's offerings obsolete if not updated.
  • Reliance on partnerships poses risks if expected synergies are not achieved.

What makes Alluxio unique

  • Alluxio offers a memory-centric architecture for data storage and management.
  • The company provides a single interface for managing data and AI workloads.
  • Alluxio's solutions accelerate model training by 20 times and serving by 10 times.

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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

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

0%
Alluxio
Jan 9th, 2024
Setting the Stage for Alluxio Community to Soar in the Year of the Dragon: 2023 Recap and 2024 Outlook

Alluxio kicked off 2023 strong by being named one of the Best Open Source Projects.

DZone
Nov 2nd, 2023
Alluxio Launches AI-Optimized Data Platform for Faster ML Pipelines

Alluxio launches ai-optimized data platform for faster ML pipelines.

The New Stack
Oct 20th, 2023
Alluxio Launches Enterprise Platform for Generative AI Apps

Alluxio launches enterprise platform for generative AI apps.

DBTA
Oct 19th, 2023
Alluxio Enterprise AI Simplifies and Enhances AI and ML Workload Enablement

Alluxio, the data platform company for data-driven workloads, is unveiling Alluxio Enterprise AI, a high-performance data platform designed to unify performance, data accessibility, scalability, and cost efficiency in powering AI and machine learning (ML) workloads.

Alluxio
Oct 17th, 2023
Alluxio Unveils New Data Platform for AI: Accelerating AI Products' Time-to-Value and Maximizing Infrastructure ROI

Alluxio unveils new Data Platform for AI: accelerating AI products' time-to-value and maximizing infrastructure ROI.