Engineer, Technology Consulting - Google Advocate

Key Responsibilities

• Address technical questions from sales teams to support deal qualification and solution fit.
• Support early-stage opportunity shaping with account/pipeline visibility and structured technical discovery.
• Create crisp solution narratives and architectures for CEP, Cameyo, Workspace, and AI-led workplace motions.
• Lead customer workshops, demos, and POC scoping (KPIs + plan), aligning stakeholders on success criteria.
• Execute POC delivery and validate outcomes; translate learnings into next-step recommendations and scaled motions.
• Capture and package repeatable assets (workshop agendas, POC templates, reference architectures) to accelerate future engagements.
• Perform service solutioning: define service components, scope, deliverables, risks, effort estimates, and required skill sets.
• Ensure proper handoff from deal closing to service delivery with clear artifacts and acceptance criteria.
• Augment and scale service delivery by supporting design reviews, escalations, and quality checks as needed.
• Co-develop services and platform solutions with Google technical teams and internal stakeholders around the Google tech stack.
• Prototype and validate AI solution patterns (e.g. agentic orchestration layer, RAG approaches, persona-based workflow recommendations, AI adoption metrics) with enterprise guardrails.
• Create/update partner technical sales assets and field playbooks to improve sales effectiveness and delivery consistency.
• Promote Google technology adoption for DWS offerings and internal usage through demos, guidance, and best-practice sharing.

Requirements

• 3–5 years of experience in solution engineering, technical consulting, customer success engineering, or enterprise technology delivery.
• Demonstrated learning agility and problem-solving capacity—evidence of quickly mastering new platforms and delivering outcomes in ambiguous environments.
• Strong customer-facing skills: ability to run workshops, whiteboard architectures, and align technical and business stakeholders on KPIs.
• Agent/workflow platform engineering mindset: demonstrated experience building or solutioning reusable workflow/skill libraries (tools/functions) and agentic orchestration patterns with approval gates, restricted capabilities, and auditable execution history, enabling repeatable delivery and measurable ROI in enterprise settings.
• Solid technical fundamentals across enterprise IT (identity, endpoint management, networking basics, security concepts) and cloud/SaaS patterns.
• Excellent communication and collaboration skills; comfortable producing executive-ready narratives and technical artifacts.
• Ability to travel occasionally for customer engagements across North America.
• Hands-on familiarity with one or more: Chrome Enterprise Premium (CEP), Cameyo, Google Workspace, Gemini, Vertex AI (or comparable platforms).
• Experience delivering workshops, pilots, or POCs related to secure access, browser-first strategies, endpoint security, or SaaS modernization.
• Experience working in partner ecosystems (ISVs/SIs/MSPs) and co-selling/co-delivery motions.
• Relevant certifications or demonstrated equivalent expertise in Google or cloud/AI solutioning.