Lead Product Engineer

Posted 14 Hours Ago
Be an Early Applicant
Washington, DC
Senior level
Big Data • Edtech • Analytics
The Role
The Lead Product Engineer at Data Society Group will design, build, and release AI-powered services and products while collaborating with product teams to ensure innovative solutions. The role emphasizes leadership by example, contribution to engineering standards, and continuous learning in technology and software paradigms.
Summary Generated by Built In

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


 

Top Skills

Java
Python
Typescript
The Company
HQ: Washington, DC
61 Employees
On-site Workplace
Year Founded: 2014

What We Do

WHO WE ARE:
Data Society provides industry-tailored, high-quality data science training and advisory services for corporations and government agencies with a desire to make data driven decisions. We believe that modern organizations need to be equipped to make data driven decisions that significantly amplify the effects of existing subject matter expertise. These skills result in increased efficiency and more accurate analyses for research and operations. In order for organizations to become more data driven, they must develop a common data vocabulary across leadership, analysts and generalists. They must also empower their managers and technical staff with appropriate data science skills. Data Society solves both of these needs through customized data science workshops and online learning that help organizations stay competitive and accomplish their missions.

OUR VISION:
We are passionate about increasing data literacy on a global scale so that organizations and their employees can be smarter about data. We've seen how data analysis can solve problems and provide insights that lead to better business and policy decisions. We are dedicated to giving others the tools to approach problems strategically and building a community in which we answer the question "How can data science change the world?"​.

OUR SOLUTIONS:
Our expert data scientists and engineers work alongside your teams to make more informed decisions, automate time-consuming manual processes, solve your most complex data challenges, and build data systems to ensure the enduring impact of your work.

OUR TRAINING:
We teach data science in an intuitive, engaging, and applicable way so that you can apply the methods you learn in class right back in the workplace. We provide training through a combination of in-person, virtual, and online instruction with supplemental coaching and support. We don't just provide data science courses - we create communities of professionals who think about data differently.

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