10+ years of experience with Google Cloud, Azure, or AWS in a PreSales or Delivery context; Google Cloud preferred.
Professional certification in Google Cloud required within the first 90 days.
Strong background in strategizing, designing, and deploying scalable solutions on Google Cloud.
Exceptional communication skills with the ability to simplify technical concepts for varied audiences.
Experience collaborating with engineering and sales teams to gather customer insights.
Demonstrated ability to advocate for the value of Google Cloud services.
Responsibilities
Act as the technical strategist, enhancing sales velocity and delivering valuable client outcomes.
Collaborate with Sales and Engineering to design customized enterprise-grade cloud and AI solutions.
Build strong relationships with stakeholders to ensure client success and satisfaction.
Prepare and present technical documentation, including Statements of Work and effort estimates.
Serve as a technical consultant throughout the customer implementation journey.
Differentiate products and services by understanding market and industry trends.
Create demonstrations and proof of concept environments tailored to client needs.
Benefits
Opportunities for professional development and skill advancement.
Access to cutting-edge cloud technology solutions.
Dynamic work environment that promotes collaboration and innovation.
Ability to shape customer experiences through direct engagement.
Full Job Description
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.
