Senior Google Presales Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 16h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 143d ago
The date the source published, not the day we noticed it (2026-05-21). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2263 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 17h ago · last seen 1h ago
The listing
iT1, a leading national technology solution provider headquartered in Tempe, AZ, is looking for a skilled and experienced Senior Google Presales Engineer to join our team. iT1 has been ranked as one of Arizona’s Best Places to Work for over a decade, running in the Small Business category. You will be exposed to many of the top technology offerings in the market and can work with some of the most talented people in the country.
The Senior Google Presales Engineer is responsible for the presales of complex projects focusing on Google Workspace administration and AI Gemini enterprise deployment across all industry verticals to meet our client’s technology and business needs.
This role requires deep expertise in Google Workspace core services including Gmail, Google Drive, Calendar, Meet, Chat, and Docs, as well as advanced knowledge of Gemini Enterprise agentic AI platform for business workflows. Our engineering team consults with our sales team, project management team and clients to deploy highly technical solutions to help our clients achieve their business objectives. This person will be a subject matter expert for strategic client opportunities covering Google Workspace administration, AI agent development, data governance, security implementation, and enterprise-grade AI deployment.
Requirements
- Strong technical experience with Google Workspace services, including understanding their capabilities and limitations and being able to implement and deliver solutions leveraging various Google Workspace technologies.
- Expertise and interest in staying current around new Google Workspace solutions and Gemini AI capabilities.
- Manage user accounts, groups, organizational units, and shared resources in Google Admin console.
- Configure and optimize core Google Workspace services including Gmail, Drive, Calendar, Meet, Chat, Docs, and Vault.
- Deploy and manage Gemini Enterprise agentic AI platform for enterprise search, analysis, and workflow automation.
- Create and manage AI agents using Agent Designer (no-code) and Agent Development Kit (ADK) for custom enterprise applications.
- Implement data governance policies including data loss prevention rules in Gmail and Drive to prevent data leakage.
- Configure security policies including two-step verification, password policies, and access controls to govern user access.
- Manage endpoint devices and mobile device management policies for enterprise compliance.
- Configure identity providers and OAuth consent screens for secure application integration.
- Create and manage Google Drive and Google Calendar data stores for Gemini Enterprise apps.
- Implement enterprise-grade security features including VPC Service Controls, Private Service Connect, and customer-managed encryption keys.
- Strong understanding of Google Workspace architecture, data grounding, and AI agent orchestration.
- Able to articulate pros and cons of design and architecture decisions across a wide spectrum of factors.
- Experience with Google Workspace migrations from legacy systems.
- Troubleshoot common Google Workspace and Gemini Enterprise deployment issues.
Job Qualification Requirements:
- 5-8 years in a project delivery role with focus on cloud collaboration platforms.
- 5-8 years of Google Workspace implementation and administration experience.
- 3-5 years of experience with Google Workspace migrations from legacy email and collaboration systems.
- 3-5 years of success in consulting on complex technical projects, including design and planning, implementation and deployment, and support.
- Experience managing and supporting Google Workspace in an enterprise environment with 1,000+ users.
- Experience administering organizational units, group policies, and resource management in Google Admin console.
- Experience deploying and managing AI solutions in enterprise environments, particularly Gemini Enterprise or similar agentic AI platforms.
- Experience with data governance, compliance configuration, and security policy implementation in Google Workspace.
- Experience with endpoint management and mobile device policies in enterprise settings.
- Exhibit a proactive, process-oriented, and results-driven mentality.
- Experience in a fast-paced and deadline-driven environment.
- Ability to prioritize and organize effectively.
- Ability to work on multiple projects simultaneously.
- Ability to work both independently and with others.
- Ability to operate in a fast-moving, team-oriented, collaborative environment with tight deadlines.
- Proficiency in using Google Workspace applications and collaboration tools.
- Strong understanding of cloud computing technologies, AI and machine learning fundamentals, and emerging trends in enterprise AI.
Preferred Certifications:
- Associate Google Workspace Administrator
- Professional Google Workspace Administrator
- Google Cloud Professional Machine Learning Engineer
- Google AI Professional Certificate
- Google Cloud Professional Cloud Architect
- CompTIA Security+ or similar security certifications
Physical Demands:
- Sit at a computer for 8 hours per day
- Keyboarding for 8 hours per day
- Near Vision (working with small objects or reading small print)
- Speaking (communicating information to clients / coworkers)
- Hearing Requirements (In person speech, telephone, other sounds)
Job Location:
- Remote if located outside of a reasonable commute.
- Hybrid if local to the Tempe/Phoenix, Arizona area.
Benefits
- Medical, dental, and vision benefits with highly subsidized premiums
- Two weeks accrued paid time off in your first year, with increasing PTO as tenure increases, and most major holidays off
- 401(k) Plan with employer match
- Onsite Fitness Center
- Onsite Monthly Massages
*iT1 is an equal opportunity employer. Employment decisions are made without regard to race, religion, sexual orientation, gender identity, national origin, disability status, veteran status, or other characteristics protected by law.