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Remote Google Gemini Jobs (NOW HIRING)

This role will be critical in establishing secure, governed access to Google Gemini AI model ... remote backends o Workspace and environment management * Python - Strong scripting skills for ...

This role will be critical in establishing secure, governed access to Google Gemini AI model ... remote backends o Workspace and environment management * Python - Strong scripting skills for ...

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Work independently while maintaining productivity in a remote environment Preferred Skills ... Used Microsoft Excel and Google Workspace for documentation and data-related tasks. * Interpreted ...

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Remote About Us We believe everyone should have access to the legal services they need. Funded by ... Open to using tools like Claude, Google Gemini, or other AI to increase efficiency, create ...

$50K - $55K/yr

... Google Gemini, Claude) to draft communications, summarize issues, or research solutions * Ability ... remote environment * Team player who is willing to share knowledge, seek help, and support team ...

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How much do remote google gemini jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote google gemini in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What is a Remote Google Gemini?

A Remote Google Gemini role typically refers to a position where an employee works from a location outside of a traditional office, focusing on projects that use Google Gemini, which is Google’s family of advanced AI models. These roles can include tasks such as developing AI-driven applications, integrating Gemini APIs, or supporting businesses in leveraging Gemini’s capabilities for search, content creation, and data analysis. Working remotely allows professionals to collaborate with global teams, access cutting-edge technology, and contribute to innovative AI solutions from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote Google Gemini specialist?

To thrive as a Remote Google Gemini Specialist, you need strong expertise in digital advertising, data analysis, and campaign management, typically supported by experience in search and display marketing. Familiarity with Google Ads, Gemini platform tools, and relevant certifications such as Google Ads Certification are highly beneficial. Excellent communication, problem-solving, and self-management skills help you collaborate virtually and adapt to evolving client needs. These skills ensure effective campaign execution, measurable results, and seamless client interactions in a remote work environment.

How does a remote Google Gemini specialist typically collaborate with cross-functional teams while working remotely?

As a Remote Google Gemini specialist, you will regularly collaborate with teams such as product management, engineering, and marketing through virtual meetings, shared documentation, and project management tools. Effective communication and proactive engagement are essential to ensure that campaign objectives are aligned and any issues are addressed promptly. You'll often participate in video calls, contribute to collaborative platforms, and provide updates on analytics and strategy. Being comfortable with remote work technologies and maintaining clear, consistent communication helps foster strong teamwork despite physical distance.

What is the difference between Remote Google Gemini vs Remote Data Analyst?

AspectRemote Google GeminiRemote Data Analyst
Required CredentialsGoogle certifications, technical skills in AI/MLBachelor's in Data Science, statistics, or related field
Work EnvironmentRemote, collaborative with AI/ML teamsRemote, analytical with data teams
Industry UsageTech, AI, Machine LearningBusiness, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Google Gemini focuses on AI and machine learning projects within tech companies, requiring specialized certifications. Remote Data Analysts analyze data to inform business decisions, often with a background in statistics. Both roles are remote and industry-relevant, but they differ in technical focus and required credentials.

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Cities with the most Remote Google Gemini job openings:

What are the most commonly searched types of Google Gemini jobs?

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What states have the most Remote Google Gemini jobs?

States with the most job openings for Remote Google Gemini jobs include:

Infographic showing various Remote Google Gemini job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Senior Solutions Engineer, Google Cloud & Maps Platform

Sanborn Map

Boston, MA • Remote

$60 - $77.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

ABOUT US

Founded in 1866, The Sanborn Map Company (Sanborn) is one of the oldest continuously operating mapping and geospatial information technology companies in the US. Our work is highly visual, and our mapped data and applications are an essential part of todays information economy. We serve many industries and government departments and need to communicate effectively with them about our wide range of products and services. We remain at the forefront of the GIS and photogrammetry industry by offering high quality, technologically superior products and services backed by the industrys most experienced staff. We are looking for a talented individual to fill this role working in a collaborative environment ready to innovate workflow.

SUMMARY

The Senior Solutions Engineer, Google Cloud & Maps Platform supports the Spatial Intelligence sales organization as a trusted technical advisor, solution architect, and partner facing expert for Google Cloud Platform (GCP) and Google Maps Platform solutions. The position will collaborate with new and existing high-value clients to document and comprehend use case requirements, devising custom solutions which leverage the full capabilities of Sanborn Geospatial and partner solutions. This role is sales aligned and revenue focused, operating within a Google Partner / Reseller motion. Works closely with Account Executives, Google partner teams, and customers to drive solution adoption, accelerate deal cycles, and articulate differentiated business value using cloud and geospatial technologies. The position requires in-depth knowledge to co-sell with Google, position partner led solutions, and translate technical capabilities into commercial outcomes.

Position Location: Remote (U.S.-based)

KEY RESPONSIBILITIES

Technical Sales Ownership

  • Own the technical sale alongside account executives, from first discovery call through technical close and clean handoff to delivery.
  • Serve as lead technical advisor to commercial and government customers on new business, expansion, and upsell.
  • Handle the technical objections that stall deals: architecture fit, data residency, terms of service limits, integration effort, and total cost at volume.

Google Partner Co-Sell

  • Lead technical execution in Google Cloud and Google Maps Platform co-sell motions joint customer calls, solution workshops, and partner-led demos.
  • Position Sanborn's services, IP, and managed offerings alongside Google technologies to articulate differentiated partner value.
  • Stay current on Google partner programs, solution playbooks, pricing models, and incentive structures that impact deal strategy.

Solution Architecture & Design

  • Design solutions on Google Maps Platform APIs covering mapping, places, routing, geocoding, and the BigQuery-native insights products.
  • Design the supporting Google Cloud footprint, with emphasis on BigQuery, data pipelines, and Gemini or Vertex AI where the use case calls for it.
  • Model consumption and unit economics so the architecture the customer buys is one they can afford at scale and one Sanborn can deliver at margin.

Demonstrations & Proofs of Concept

  • Build and deliver working demonstrations on Google Cloud and Google Maps Platform that connect a technical capability to a dollar outcome the customer recognizes.
  • Run proofs of concept and pilots against real customer data, scoped to close a decision rather than to explore.
  • Create and maintain a reusable demonstration and reference-architecture library so the motion is repeatable by others and does not live in one persons head.

Proposals, RFPs & Deal Support

  • Author technical content for proposals, statements of work, and responses to RFPs, RFIs, and sources-sought notices, including public sector solicitations.
  • Supply the technical assumptions and usage drivers that pricing depends on.
  • Partner with delivery to confirm feasibility and risk before commitments are made.

QUALIFICATIONS

  • Google Cloud in front of customers. Hands-on, customer-facing experience with Google Cloud Platform, plus working familiarity with Google Maps Platform APIs or a comparable location and mapping platform.
  • Built the demo. A demonstrable record of building and delivering a working demonstration or proof of concept, not just presenting one somebody else built, and connecting it to a commercial outcome.
  • Data fluency. Working SQL and comfort in BigQuery or an equivalent cloud data warehouse. Enough scripting in Python or JavaScript to stand up a prototype.
  • Commercial instinct. A record of influencing or closing technical deals alongside sellers, and the ability to translate architecture into revenue, cost, and risk language an executive buyer uses.

PREFERRED QUALIFICATIONS

  • Google Cloud certification at Associate or Professional level, or the Generative AI Leader credential.
  • Gemini or Vertex AI applied in a customer-facing setting.
  • Geospatial background of any kind: GIS, Esri, imagery, LiDAR, remote sensing, surveying, or location data products.
  • Experience inside a partner, reseller, distributor, or channel model.
  • Consumption or usage-based pricing, and usage forecasting.
  • Selling to state, local, or federal government, including cooperative contract vehicles.
  • Experience supporting ISVs, SaaS providers, or enterprise platform customers.

CERTIFICATIONS

  • Google Cloud certifications (Associate or Professional levels) preferred.

EDUCATION:

Bachelors degree or higher from an accredited college or university or equivalent experience. A degree in Computer Science, Geographic Information Science, Engineering, Data Science, Business, or a related field is preferred.

EXPERIENCE:

Minimum of seven years in customer-facing technical roles. Qualifying backgrounds include pre-sales or solutions engineering, sales engineering, technical account management, solution consulting, technical product management, and technical selling roles. Experience in cloud, geospatial, data, or SaaS is preferred.

Salary Range: 110K - 135K annual

Applicant must live in the U.S. and be authorized to work in the U.S.

Sanborn offers a comprehensive health and wellness program which includes medical, dental, vision, 401k, holiday, PTO, EAP, disability and life insurance benefits.

TO APPLY: Visit our website: www.Sanborn.com under the Careers menu option to apply. We are accepting applications for this position until September 15, 2026. Sanborn is an AA/Veteran/Disability Equal Opportunity Employer.