Lead Product Engineer

Remote
Full Time
Experienced

About Data Society Group
At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate, equip, and employer their workforces with the skills they need to achieve their goals and expand their impact. DSG publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.

About the Product Engineer Role
DSG wants to transform how organizations use data. As part of this effort, we are building products to develop and empower the next generation of data and AI-powered workforces. We move with careful urgency and believe our products can change the world. We are looking for a lead product engineer to join the core team at DSG!


Role Overview

Hands-on architect and developer
  • Design, build, test, and release key AI-powered services and products focused around learning systems and data platforms.
  • Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment
Look to collaborate and communicate whenever possible
  • Work directly with the product team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources).
  • Deeply understand the business model and look to accelerate outcomes by collaborating within and across teams.
Lead by practice and example
  • Contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management.
  • Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc..
  • Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems


Ideal Background

  • 8+ years of experience developing systems/software for complex distributed systems, management products, or business applications.
  • Experience with at least two of the following areas:
    • Large-scale microservices and distributed systems
    • Cloud computing and storage systems
    • Information Retrieval/Search Systems
    • Machine learning for Search and/or Recommender systems
  • Experience with AI infrastructure and applications
    • Strong working knowledge and experience applying AI to existing application or building AI native applications with ability to articulate value/limitations, use evaluation tools to measure accuracy, train/tune models, apply tools/techniques
    • Experience with AI technologies like SageMaker, Google Vertex AI, LangChain, Large Language Models, Prompt Engineering, DialogFlow
  • Proficiency in Python, AWS
  • Full-stack development experience with experience in:
    • Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
    • Back-end technologies like Java, Typescript, Spring, Python, NodeJS/Bun
  • BS/MS in a technical field such as Computer Science or equivalent years of experience.
  • Authorized to work in the US and resides within the continental United States.


Ideal Skillset

  • Team player well-respected for strong analytical and problem-solving skills
  • Ability to work effectively in a fast-paced, complex technical environment.
  • Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
  • "Self-starter" attitude and the ability to make decisions independently
  • Flexible and resilient.
  • Travel is mostly regional, and will be 5-20% of your time

 
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