17 days 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.
