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Google Director Jobs in Michigan (NOW HIRING)

Google Ads and Microsoft Advertising * Meta, LinkedIn, and other social platforms * Email marketing ... Direct SEO /AEO Oversee strategies that improve client visibility in traditional search results and ...

Google Ads and Microsoft Advertising * Meta, LinkedIn, and other social platforms * Email marketing ... Direct SEO /AEO Oversee strategies that improve client visibility in traditional search results and ...

CARES comments and Google reviews Organizational Imperatives The factors that define and truly ... Proactively communicate inventory and scheduling needs to direct report * Communicate all Chick-fil ...

The Director of Marketing at Christensen Law is a pivotal role, aimed at enhancing our firm ... Oversee digital initiatives including SEO and GEO, LSAs, Google Business Profiles, content ...

Medical Director

Detroit, MI · On-site

$200K - $250K/yr

Please use Google Chrome or Mozilla Firefox when accessing Candidate Home. By joining the American ... Direct medical strategy and operations for regulated cellular therapies (HPCs, CAR-T, Leukopaks ...

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Google Director information

What are the key skills and qualifications needed to thrive as a Google director?

To thrive as a Google Director, you need extensive leadership experience, strategic vision, and a track record of driving business growth, often supported by an advanced degree in business or technology. Familiarity with Google’s suite of tools, data analytics platforms, and project management systems is essential, along with experience managing large teams or complex initiatives. Exceptional communication, decision-making, and adaptability help differentiate top performers in this role. These competencies are crucial for leading high-impact projects, fostering innovation, and ensuring alignment with Google’s organizational goals.

What are some common challenges faced by directors at Google, and how can candidates prepare for them?

Directors at Google often face the challenge of leading large, diverse teams while driving innovation at scale. They must balance strategic vision with operational execution, navigate complex cross-functional collaborations, and manage rapid organizational change. Candidates can prepare by developing strong communication and leadership skills, staying adaptable, and gaining experience in managing multidisciplinary teams in fast-paced environments. Familiarity with Google's culture of data-driven decision-making and openness to feedback is also valuable for success in this role.

What is the difference between Google Director vs Google Manager?

AspectGoogle DirectorGoogle Manager
Required CredentialsBachelor's/Master's in relevant field, leadership experienceBachelor's degree, project management skills
Work EnvironmentStrategic leadership, cross-team collaborationTeam oversight, project execution
Employer & Industry UsageUsed in senior leadership roles at GoogleCommonly used for mid-level team leadership at Google
Common Search & ComparisonOften compared for strategic rolesCompared for operational roles

The main difference between a Google Director and a Google Manager lies in their scope and responsibilities. Directors focus on strategic planning and high-level leadership, overseeing multiple teams or departments. Managers handle day-to-day team management and project execution. Both roles require relevant experience and skills, but Directors operate at a higher strategic level within Google’s organizational structure.

What does a Google Director do?

A Google Director is a senior leadership role responsible for overseeing large teams or divisions within Google, setting strategic goals, managing budgets, and ensuring project execution aligns with company objectives. They often coordinate cross-functional efforts, utilize data analysis, and require strong leadership and communication skills. The role typically requires extensive industry experience and may involve working with tools like Google Cloud or other enterprise platforms.

What are the most commonly searched types of Google jobs in Michigan?

The most popular types of Google jobs in Michigan are:

What are popular job titles related to Google Director jobs in Michigan?

For Google Director jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Google Director jobs in Michigan look for?

The top searched job categories for Google Director jobs in Michigan are:

What cities in Michigan are hiring for Google Director jobs?

Cities in Michigan with the most Google Director job openings:

Infographic showing various Google Director job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 84% In-person, and 16% Hybrid job distribution.

Forward Deployed Engineer IV, GenAI, Google Cloud

Google Inc.

Detroit, MI • On-site

$207 - $300/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

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corporate_fare Google place New York, NY, USA ; Austin, TX, USA ; +24 more ; +23 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

The application window will be open until at least August 14, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Austin, TX, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; San Francisco, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Irvine, CA, USA; Kirkland, WA, USA; Miami, FL, USA; Madison, WI, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.

  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience taking production-grade AI-driven solutions from conception to launch for customers.
  • Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
  • Experience leading technical discovery sessions with customers.
Preferred qualifications:
  • Master's degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
  • Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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