Asks for

The ad says“Professional level certification in Google Cloud is required within the first 90 days of employment.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”
The ad says“10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.”

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 Client Outcome Architect, you will be the technical strategist and builder alongside our Sales team, someone who can personally architect, prototype, and scope real Data & AI solutions in front of a customer. You are equally as effective at building demos on-the-fly and testing out new technical features, as you are in the boardroom translating ambiguous business problems into scoped, buildable, and estimable Statements of Work that our engineering teams can trust and execute. Through your interactions with our teams and clients, you’ll have an active role in shaping our customer’s experience from start to finish.

In partnership with the sales team, you will formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Google Cloud. As a trusted customer advocate, you will help customers understand best practices around advanced cloud, data, and AI solutions, and how to migrate and modernize existing workloads. Additionally you will educate customers of all sizes on the value proposition of Google Cloud and participate in deep architectural discussions to ensure solutions are both technically sound and successfully deployable, partnering with delivery to make sure what gets sold is successfully deployed for our clients..

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.
In collaboration with Sales and Engineering teams, 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 and not just a feature list.
Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
Prepare and deliver technical presentations, Statements of Work, Level of effort estimations, etc.
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 current market and industry landscape.
Prepare demonstrations and proof of concept environments based on client requirements.

Qualifications

Demonstrated hands-on technical ability. Be prepared to walk through something you’ve personally built end-to-end.
10+ years of experience working within Google Cloud or Azure/AWS in a PreSales or Delivery capacity, with direct hands-on experience in Data & AI workloads (e.g., BigQuery, Vertex AI, data pipelines, agentic/LLM tooling); Google Cloud Preferred.
Professional level certification in Google Cloud is required within the first 90 days of employment.
Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on Google Cloud, strongly preferred.
Track record of running technical discovery and translating ambiguous business requirements into scoped, buildable, and defensible solutions and estimates.
Ability to communicate across business units, translating complex technical concepts for a broad range of internal and external stakeholders, from engineers to executives.
Experience partnering directly with engineering/delivery teams to validate feasibility and ensure a clean handoff from sales to delivery.
Advocate and demonstrate the value of Google Cloud and 66degrees' service offerings to prospects through working solutions, not just presentations.

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

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.