About the role
What will you do at Google?
MINIMUM QUALIFICATIONS:
* Bachelor's degree or equivalent practical experience.
* 10 years of experience with cloud native architecture in a customer-facing or
support role.
* Experience in designing, developing, and deploying solutions that leverage or
integrate generative AI.
* Experience in, or supporting the National Security customers.
* Experience in programming languages, debugging, systems design, prototyping,
demos, or customer workshops.
* Active US Government Top Secret/Sensitive Compartmentalized Information
(TS/SCI) security clearance with Polygraph.
PREFERRED QUALIFICATIONS:
* Experience selling technical solutions in one or more of the following:
Infrastructure Modernization, Application Modernization, Data Management,
Data Analytics, Cloud AI, Networking, Migrations, Security.
* Experience managing the entire business cycle (e.g., defining the delivery
and consumption plan and transitioning it for execution).
* Experience building long-term technical strategies to uncover new workloads
with customers.
* Experience with security concepts (e.g., encryption, identity management,
access control, attack vectors, and penetration testing).
* Experience prospecting, and building and maintaining customer relationships
from scratch, with excitement for building Greenfield territories in
government accounts.
ABOUT THE JOB:
When leading companies choose Google Cloud, it's a huge win for spreading the
power of cloud computing globally. Once educational institutions, government
agencies, and other businesses sign on to use Google Cloud products, you come in
to facilitate making their work more productive, mobile, and collaborative. You
address and deliver what is most helpful for the customer. You assist fellow
sales Googlers by problem-solving key technical issues for our customers. You
liaise with the product marketing management and engineering teams to stay on
top of industry trends and devise enhancements to Google Cloud products.
As an AI Specialist Customer Engineer in the federal public sector space, you
will partner with technical Sales teams to differentiate Google Cloud to
customers. You will help prospective and existing customers and partners
understand the power of Google Cloud, develop creative cloud solutions and
architectures to solve their business challenges, engage in proofs-of-concepts,
and troubleshoot any technical questions and roadblocks. You will use your
expertise and presentation skills to engage with customers to understand their
business and technical requirements, and persuasively present practical and
useful solutions on Google Cloud.
In this role, you will
- be a generative AI expert, working internally with Google
- teams and externally with customers on how position, provide, and produce
- Google's foundational AI/ML capabilities into air-gapped environments.Google
- Public Sector
- [https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]
- brings the magic of Google to the mission of government and education with
- solutions purpose-built for enterprises. We focus on helping United States
- public sector institutions accelerate their digital transformations, and we
- continue to make significant investments and grow our team to meet the complex
- needs of local, state and federal government and educational
- institutions.Individual pay is determined by factors including job-related
- skills, experience, and relevant education or training.
- US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
- Learn more about benefits at Google
- [https://www.google.com/about/careers/applications/benefits/].
- RESPONSIBILITIES:
- * Collaborate with the team to identify and qualify business opportunities,
- understand key customer technical objections, and develop the strategy to
- resolve technical blockers.
- * Share in-depth enterprise infrastructure modernization expertise to support
- the technical relationship with customers, including technology advocacy,
- supporting bid responses, product and solution briefings, proof-of-concept
- work, and partnering directly with product management to prioritize solutions
- impacting customer adoption to Google Cloud.
- * Leverage Google Cloud products directly to demonstrate and prototype
- integrations in customer and partner environments.
- * Guide customers through assessments of existing legacy application
- environments and provide recommendations on a prioritization roadmap for
- infrastructure and application modernization.
- * Recommend integration strategies, enterprise architectures, platforms, and
- application infrastructure required to successfully implement a complete
- solution on Google Cloud.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Data Analyst ServiceNow Developer
SiloSmashers, Inc. · District of Columbia, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Orchestration Workload Engineer - ACE - AI Factory
Roche · Kaiseraugst, Aargau, Switzerland
Automation Engineer, CGIC & BD AI Automation
Quantum Sky · Reston, Virginia, United States
AI Solutions Engineer
Vantage Bank · Fort Worth, Texas, United States
Role information can change. Confirm current details on the original application page.
