Customer Engineer III, Outcome, GCP, Google Cloud

About the role

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.

Responsibilities

• Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, on-boarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
• Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
• Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.
• Identify expansion opportunities for new workloads within the account during project execution.
• Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience engaging with, presenting to, or managing technical stakeholders or executive leaders.
• Ability to travel up to 25% of the time as needed.

Qualifications

• Experience selling technical solutions in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, AI, networking, migrations or security.
• Experience with Google Cloud products and differentiation from competition.
• Experience working with product and capacity teams to resolve technical and capacity blockers.
• Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.
• Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen).
• Experience navigating the startup life-cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI.

Skills

• Technical proficiency in deploying and managing cloud-native applications.
• Strong communication and presentation skills to engage with technical stakeholders and executives.
• Experience with project management tools and methodologies.
• Ability to work independently and as part of a team.

Benefits

• Health, dental, vision, life, disability insurance.
• Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance.
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Pay

$152,000 - $222,000 (USD) + 42.86% bonus target + equity + benefits

Schedule

Full-time