Solution Consultant
Posted on 2/7/2024
66 Degrees

501-1,000 employees

Google Cloud adoption & managed services
Company Overview
66degrees is a company that stands out for its comprehensive expertise in Google Cloud technologies, providing a full spectrum of services from advisory to managed solutions that enable businesses to harness the power of cloud computing for data-driven transformation. Their approach to the future of work emphasizes the use of responsible AI and advanced analytics to enhance workforce productivity and customer satisfaction, positioning them as a leader in facilitating AI-powered enterprise environments. With a focus on continuous innovation and optimization, 66degrees offers a culture of agile development and a commitment to shaping a human-centered workforce through accessible, AI-enabled cloud infrastructure.
Consulting

Company Stage

N/A

Total Funding

$711K

Founded

2009

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

5%

1 year growth

10%

2 year growth

20%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Sales
BigQuery
SQL
Docker
AWS
Terraform
Google Cloud Platform
CategoriesNew
Consulting
Software Engineering
Requirements
  • 3+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS; GCP Preferred
  • Professional level certification in GCP is required within first 90 days of employment
  • Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP Preferred
  • Experience with traditional and cloud infrastructure and cloud migrations
  • Experience with the primary managed data services within GCP, including Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery
  • Experience with using AI Platform, Vertex AI, or BigQuery ML to manage and deploy machine learning models
  • Experience with container engines: Kubernetes, Docker, AWS Elastic Container Service
  • Experience with automation technologies including Terraform, Google Cloud Deployment Manager, AWS Cloud Formation or Microsoft Azure Automation
  • Experience working with engineering and sales teams to elicit customer requirements
  • Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders
  • Differentiate 66degrees products and services from our competitors by understanding the market and industry intimately
Responsibilities
  • Formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of the Google Cloud Platform
  • Help customers understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to these solutions
  • Educate customers of all sizes on the value proposition of Cloud and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud or on-premise as needed
  • Specify the deliverables of services projects by developing detailed project scopes of work (SOWs); Assist sales team with preparedness and delivery of technical presentations, estimations, and Statements of Work
  • Advocate and demonstrate the value of the Google Cloud and service offerings to prospects
  • Be a technical and business consultant to our clients before, during, and after implementations
  • Design and propose custom cloud-based solutions for clients based on your research and their needs
  • Prepare demonstrations and proof of concept environments based on client requirements
  • Act as a technical resource for our team by continually bringing value and an innovative mindset to our projects
  • Assist with and perform deliverable work for clients to gain first-hand experience with solutions
  • Embrace 66degrees team mentality by providing our team general support on new products and technology in the market
Desired Qualifications
  • Experience with AI Platform, Vertex AI, or BigQuery ML
  • Experience with Google Cloud Deployment Manager, AWS Cloud Formation, or Microsoft Azure Automation
  • Experience with cloud infrastructure and cloud migrations
  • Experience with container engines: Kubernetes, Docker, AWS Elastic Container Service
  • Experience working with engineering and sales teams to elicit customer requirements