- Location
- Bengaluru, Pune · Mysuru, Karnataka, India
- Department
- Managed Solutions and Cloud Optimization Account Management
- Experience
- 3+ years
- Source
- Greenhouse
Description
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
As a Solution Consultant, you act as a trusted advisor bridging pre-sales architectural design with long-term operational success. You will collaborate with Sales, Engineering, and Service Delivery teams to craft robust proposals and Statements of Work (SOWs) that ensure both successful implementations and ongoing stability for Managed Services clients.
In partnership with the sales team, you will formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of the Google Cloud Platform. As a trusted customer advocate, you will help customers understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to these solutions. Additionally you will 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.
Managed Services Excellence
- SLA Management: Ensuring deliverables and services meet defined Service Level Agreements (SLAs).
- Incident Management & RCA: Participating in or leading Root Cause Analysis (RCA) for critical production issues to ensure ongoing system reliability.
- Long-term Stability: Managing the transition from implementation to ongoing operational support.
Responsibilities
- Collaborate with sales and engineering teams to understand customer requirements and develop tailored cloud solutions using Google Cloud Platform services.
- Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
- Specify the deliverables of services projects by developing detailed project Statement of work (SOWs).
- Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
- Assist the sales team with the preparedness and delivery of technical presentations, estimations, and Statements of Work.
- Be a technical and business consultant to our clients before, during, and after implementations.
- Differentiate 66degrees products and services from our competitors by understanding the market and industry intimately.
- 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.
Qualifications
- 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, strongly preferred.
- Experience with traditional and cloud infrastructure as well as 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, GE Agent Platform, Agent Studio, or BigQuery ML to manage and deploy machine learning models.
- 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.
- 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
- Advocate and demonstrate the value of the Google Cloud and service offerings to prospects.
- India: Willingness to work 12.30pm to 9.30pm IST shift for overlap with global team.
- Experience within a Managed Services Provider (MSP) or large-scale enterprise environment.
- Demonstrated understanding of SLA-driven service delivery and operational best practices.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
