Quick overview
Job description
As Director, Enterprise Solutions - Google Cloud, you'll drive how Apply Digital shapes, sells, and delivers complex cloud and AI solutions on Google Cloud for enterprise clients. Reporting into the VP, Enterprise Solutions, you'll bridge technical architecture, business strategy, and go-to-market execution. You'll be a hands-on architect and trusted technology advisor to client executives while driving co-sell engagement with Google Cloud's partner engineering, product, and field sales teams. You'll also help build and grow Apply Digital's internal Google Cloud community of practitioners, helping enterprise organizations use Gemini, Vertex AI, BigQuery, and cloud-native platforms to create meaningful business value and competitive advantage.
RESPONSIBILITIES
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Shape and execute the technology vision for enterprise clients on Google Cloud, aligning AI, data, and modernization solutions with business objectives and transformation goals
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Lead and personally contribute to the design and architecture of complex, enterprise-level solutions using Gemini Enterprise Agent Platform, Vertex AI, BigQuery, AlloyDB, GKE, and Cloud Run
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Provide technical leadership and guidance on architecture best practices, emerging technologies, and industry trends
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Design next-generation agentic and generative AI solutions, including RAG pipelines, multi-agent workflows, and Gemini Enterprise implementations
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Define architecture strategies that ensure scalability, security, resilience, and long-term value, including composable and API-first approaches where they fit
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Act as a trusted technology advisor to client executives and senior stakeholders
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Build CFO-ready TCO and ROI models comparing on-premise, multi-cloud, and Google Cloud unit economics
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Lead discovery sessions, architecture reviews, solution design workshops, and technical presentations to align stakeholders on solution vision and approach
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Proactively identify opportunities to deliver additional value and expand Apply Digital's footprint within accounts
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Own pre-sales execution for assigned enterprise pursuits, including discovery, solution design, and proof-of-concept (PoC) engagements
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Partner with Apply Digital sellers and Google Cloud account teams to co-sell solutions, carrying a personal pipeline generation and revenue influence goal
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Produce RFP responses, Statements of Work, and technical proposals with explicit assumptions, bounded scope, and risk frameworks that protect delivery margins
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Use modern AI tools to speed up documentation, proposal drafting, and estimation without sacrificing engineering rigor
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Build and maintain strong relationships with Google Cloud Partner Engineers, Product Managers, and Field Sales to maximize joint deal routing and co-sell priority
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Contribute to and participate in Quarterly Business Reviews and joint account planning to align Apply Digital's offerings with Google Cloud's strategic priorities, such as Data, Generative AI, and Modernization
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Represent Apply Digital at Google Cloud Next, industry events, webinars, and partner panels
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Identify high-value patterns across engagements and help package them into repeatable offerings, accelerators, reference architectures, and pricing models
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Develop reusable estimation models, discovery frameworks, and PoC templates that raise the technical output of the broader team
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Help build and grow Apply Digital's internal Google Cloud community of practice
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Provide delivery leadership for the Google Cloud engagements you shape, ensuring they meet client requirements, quality standards, and business outcomes
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Guide technical teams through complex implementation challenges and ensure adherence to Google Cloud best practices
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Mentor and coach junior and mid-level architects on technical design, ecosystem navigation, and commercial pre-sales discipline
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Support Google Cloud certification and delivery enablement across the technology team
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Contribute to hiring, onboarding, and retention of top Google Cloud talent
Strategic Leadership & Solution Architecture
Client Relationship Management
Pre-Sales Leadership & Revenue Growth
Google Cloud Ecosystem & GTM Alignment
Solution Productization & Practice IP
Technical Delivery & Project Oversight
Team Leadership & Development
REQUIREMENTS
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10+ years of experience in cloud architecture, enterprise solution architecture, or technical consulting in a professional services environment, with at least 2 years in a leadership role
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3+ years of dedicated experience in the Google Cloud ecosystem in a customer- and partner-facing capacity
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Google Cloud Professional Cloud Architect certification
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Proven pre-sales track record, including shaping complex technical deals, writing SOWs, and partnering with sales teams to hit revenue targets
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Proven track record of successfully delivering complex solutions for large-scale enterprise clients
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Experience working in digital agencies, strategic consultancies, or systems integrators delivering client-facing solutions
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Deep, hands-on expertise in modern cloud architectures, database systems (BigQuery, AlloyDB, Cloud Spanner), and containerization platforms (GKE, Cloud Run)
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Hands-on production experience with modern AI stacks, such as Vertex AI, Gemini Enterprise, agentic workflows, or RAG pipelines
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Ability to build CFO-ready TCO and ROI models
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Excellent communication skills with the ability to engage executives, technical stakeholders, and Google Cloud partner teams
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Experience mentoring and developing technical team members
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Demonstrated ability to manage multiple high-stakes pursuits and client relationships at once
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Entrepreneurial mindset with comfort navigating ambiguity and solving complex problems
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Additional Google Cloud certifications (Professional Data Engineer, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer)
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Deep understanding of Gemini Enterprise, Gemini Enterprise Agent Platform, Gemini Enterprise for Customer Experience, and Google's generative media offerings
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Vertical experience in CPG, Retail, Media, or Entertainment
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Experience with commerce platforms, content management systems, and digital experience platforms
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Knowledge of agile methodologies and experience leading agile delivery teams
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Public speaking experience and thought leadership contributions to the technology or Google Cloud community
Nice to Have
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