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Google Non Technical Jobs in Florida (NOW HIRING)

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure ... non-technical stakeholders.

540

Senior Solutions Architect

Satellite Beach, FL · On-site

540 is seeking a Senior Solutions Architect to support our partnership with Google and the ... Collaborate with technical and non-technical stakeholders to gather requirements, evaluate ...

Marlabs LLC

Help Desk Specialist

Miami, FL · On-site

... Google Workspace, etc.) Ensure proper documentation of technical issues and resolutions Support ... Strong problem-solving and multitasking abilities Excellent communication skills for non-technical ...

Guardz

MDR Manager

Miami, FL · On-site

Use Guardz AI agents, Google BigQuery, and query languages such as SQL and KQL to triage, hunt ... non-technical audiences. * Bachelor's degree in Cybersecurity, Computer Science, Information ...

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All JobsGoogle Non Technical JobsGoogle Non Technical Jobs in Florida

Google Non Technical information

See Florida salary details

$14.2K

$33.1K

$57.2K

How much do google non technical jobs pay per year?

As of Aug 23, 2026, the average yearly pay for google non technical in Florida is $33,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,000.00 and $32,900.00 per year, depending on experience, location, and employer.

What are Google non-technical jobs?

Google non-technical jobs refer to roles at Google that do not require specialized technical or engineering skills. These positions include areas like sales, marketing, human resources, finance, project management, legal, and operations. Non-technical roles are essential for supporting Google's products, customers, and overall business growth. They involve skills such as communication, strategy, organization, and problem-solving. Many non-technical positions offer opportunities for career advancement and contribute significantly to Google's global impact.

What does collaboration typically look like in a Google non-technical role?

In a Google non-technical role, collaboration is a key part of the daily workflow. Employees often work cross-functionally with teams such as marketing, sales, HR, and operations to drive projects forward. Regular team meetings, brainstorming sessions, and digital communication tools are used to ensure alignment and transparency. This collaborative environment fosters creativity and problem-solving, allowing employees to learn from diverse perspectives and contribute to impactful company-wide initiatives.

What are the key skills and qualifications needed to thrive in a non-technical role at Google?

To thrive in a non-technical role at Google, you generally need a relevant degree, strong analytical abilities, and expertise in your business function such as marketing, sales, HR, or operations. Familiarity with productivity tools like Google Workspace, CRM software, and data analysis platforms is often required. Exceptional communication, problem-solving, and collaboration skills help you navigate complex projects and dynamic teams. These skills and qualities are essential for driving innovation, achieving organizational goals, and contributing effectively within Google's fast-paced and diverse environment.

What is the difference between Google Non Technical vs Google Data Analyst?

AspectGoogle Non TechnicalGoogle Data Analyst
Required SkillsCommunication, project management, teamworkData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, cross-functional teamsData-focused, analytical tasks
CertificationsProject management, communication coursesData analysis certifications, SQL, Tableau

Google Non Technical roles focus on soft skills like communication and project management, often in collaborative environments. Google Data Analysts require technical skills in data analysis, SQL, and visualization tools. While both roles are vital at Google, they differ mainly in skill sets and daily tasks, with Non Technical roles emphasizing interpersonal skills and Data Analyst roles emphasizing technical expertise.

What are popular job titles related to Google Non Technical jobs in Florida?

For Google Non Technical jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Google Non Technical jobs in Florida look for?

The top searched job categories for Google Non Technical jobs in Florida are:

What cities in Florida are hiring for Google Non Technical jobs?

Cities in Florida with the most Google Non Technical job openings:

Google Non Technical jobs near you
Infographic showing various Google Non Technical job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $33,080 per year, or $15.9 per hour.

CCaaS Google Data Engineer

Prophecy Technologies

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Posted 26 days ago

Job description

Role Overview:
This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service) and IVA (Intelligent Virtual Assistant) solutions, leveraging leading Cloud and enterprise conversational AI. The position involves architecting secure and resilient cloud infrastructure, particularly on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for CCaaS data platforms, ensuring data quality, reliability, security, and compliance.
Key Responsibilities:
  • Design and implement scalable CCaaS and IVA solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech.
  • Architect secure, resilient cloud infrastructure on major cloud services providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery.
  • Implement IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
  • Architect, implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management.
  • Lead integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud-based solutions.
  • Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
  • Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems.
  • Understand model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
  • Look proactively beyond the obvious for continuous improvement opportunities.
  • Lead teams and collaborate with stakeholders, demonstrating strong leadership and communication skills.
  • Manage stakeholder expectations and collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals.
  • Contribute to contact center migration to CCaaS and build data solutions surrounding the migration.
  • Define product vision, roadmap, and quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.
  • Orchestrate Agile ceremonies as a Product Owner.

Required Skills:
  • 8+ years of commercial software development experience using Java and/or Python.
  • Proficiency in Cloud technologies, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform.
  • Experience with RDBMS, No SQL databases, Maven, GIT, Jenkins, CI/CD.
  • Expertise in Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage, and Big Query.
  • Strong skills in ETL and Data Modeling.
  • Knowledge of Python, AI/ML, Tensorflow, LLM, GenAI.
  • Experience with Agile development, CI/CD, DevOps, and Observability.
  • Hands-on experience with Kafka, Relational, and/or NoSQL databases.
  • Understanding of data structures, algorithms, and design patterns.
  • Strong skills in Data Architecture design and modeling.
  • Exceptional communication and stakeholder management skills.

Qualifications:
  • 8+ years of commercial software development experience.

Preferred Skills:
  • Experience with Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow.
  • Understanding of model lifecycle, governance, bias mitigation, and explainability.
  • Ability to influence at all levels across functions, from both technical and non-technical perspectives.

Apply