Product Solutions Engineer, Health and Home
$127K/yr – $182K/yr
You'll complete your application on the employer's website.
$127K/yr – $182K/yr
You'll complete your application on the employer's website.
Job type
Salary
$127K/yr – $182K/yr
Location
Sector
Posted
8 days ago
Google is hiring a Product Solutions Engineer to help clients in the Health and Home industry address technical needs and improve their use of Google products. The role involves understanding client challenges, designing policy-compliant solutions, and identifying opportunities for reusable solutions and innovation.
Responsibilities
Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations
Design and implement solutions that meet client needs and are compliant with data and legal policies
Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces
Preferred
Master's degree in Engineering, Computer Science, Business, or a related field
Experience in an analytical role such as business intelligence, data analytics, or statistics
Experience working with database technologies (e.g., SQL, NoSQL)
Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering
Experience using Machine Learning and building solutions
Experience working with systems (e.g., Linux, Unix)
Business Intelligence
Data Analytics
Statistics
SQL
NoSQL
Cloud Architecture
Cloud Solution Development
Cloud Solution Maintenance
Virtualized Environments
Cloud Data Engineering
Machine Learning
Machine Learning Solution Development
Linux
Unix
Benefits
15% bonus target
Equity
Company
Internet search and productivity software with AI products
Mountain View, California, USA
https://www.google.com/
Founded in 1998
10001+ employees
Qualifications
Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP)
3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python)
Experience troubleshooting technical issues for internal/external partners or customers
Master's degree in Engineering, Computer Science, Business, or a related field
Experience in an analytical role such as business intelligence, data analytics, or statistics
Experience working with database technologies (e.g., SQL, NoSQL)
Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering
Experience using Machine Learning and building solutions
Experience working with systems (e.g., Linux, Unix)
3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Required skills
Business Intelligence, C/C++, CSS, Cloud Data Engineering, HTML, HTTP, Java, JavaScript, Linux, Machine Learning, NoSQL, Python, Represents the skills you have, SQL, Statistics, Unix, click on the tags
Preferred skills
Experience using Machine Learning and building solutions, Experience working with systems (e.g., Linux, Unix)
Experience
3+ years
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
Other roles in New York, NY or IT & Technology
We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling.
We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us.
Competitive
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…