2 months ago
Remote, United StatesStaff+
Responsibilities
- Act as a technical strategist and hands-on builder supporting field sales and client outcomes.
- Design enterprise-grade cloud and AI solutions and translate customer requirements into scalable Google Cloud architectures.
- Lead technical discovery conversations and convert business needs and constraints into scoped, estimable solutions.
- Build relationships with customer stakeholders and decision-makers to support customer success.
- Prepare and deliver technical presentations, Statements of Work, and level-of-effort estimates.
- Advise clients before, during, and after implementations as a technical and business consultant.
- Prepare demonstrations and proof-of-concept environments based on client requirements.
- Partner with engineering and delivery teams to validate feasibility and ensure successful deployment handoffs.
Requirements
- At least 10 years of experience working with Google Cloud or Azure/AWS in a PreSales or Delivery capacity.
- Direct hands-on experience with Data and AI workloads, including examples such as BigQuery, Vertex AI, data pipelines, and agentic/LLM tooling.
- Demonstrated ability to personally build and explain an end-to-end technical solution.
- Professional-level Google Cloud certification required within the first 90 days of employment.
- Experience strategizing, designing, architecting, and leading deployment of scalable Google Cloud solutions is strongly preferred.
- Experience conducting technical discovery and translating ambiguous business requirements into scoped, buildable, and defensible solutions and estimates.
- Ability to communicate complex technical concepts to engineers, executives, and other stakeholders.
- Experience partnering with engineering and delivery teams to validate feasibility and support sales-to-delivery handoffs.
- Ability to demonstrate the value of Google Cloud and company services through working solutions.
About 66degrees
66degrees is an AI and cloud consultancy that designs and implements data, analytics, and generative AI solutions on Google Cloud for enterprises. The company provides advisory, engineering, and managed services for cloud migration and data modernization. Founded in 2009 and headquartered in Chicago, it focuses on turning enterprise data into operational outcomes across the Google Cloud stack.