Client Outcome Architect
New
6
66degreesAI, Cloud, Data
Remote, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- GCPBigQueryLLM
Requirements
- 10+ years of experience working within Google Cloud, Azure, or AWS in a PreSales or Delivery capacity.
- Direct hands-on experience in Data & AI workloads such as BigQuery, Vertex AI, data pipelines, and agentic/LLM tooling.
- Demonstrated hands-on technical ability, with the readiness to walk through something personally built end-to-end.
- Ability to obtain a professional level certification in Google Cloud within the first 90 days of employment.
- Proven track record of running technical discovery and translating ambiguous business requirements into scoped, buildable, and defensible solutions and estimates.
- Strong ability to communicate across business units, translating technical concepts for engineers and executives.
- Experience partnering directly with engineering/delivery teams to validate feasibility and ensure successful handoff.
- Strong preference for experience strategizing, designing, and leading the deployment of scalable solutions on Google Cloud.
Responsibilities
- Act as the technical strategist and hands-on builder for the field, accelerating sales velocity and blending innovation with execution to deliver high-value outcomes to clients.
- Own the end-to-end design of custom, enterprise-grade cloud and AI-focussed solutions, translating complex customer requirements into scalable Google Cloud architectures.
- Lead technical discovery conversations that uncover a client's real business outcome and constraints, and translate that discovery into a scoped, estimable solution.
- Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
- Prepare and deliver technical presentations, Statements of Work, and Level of effort estimations.
- Act as a technical and business consultant to clients throughout the implementation process.
- Differentiate company products and services by understanding the current market and industry landscape.
- Prepare demonstrations and proof of concept environments based on client requirements.
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