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Remote Google Economist Jobs (NOW HIRING)

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Use AI-powered tools such as Google Gemini to improve research, analysis, documentation, and ... Bachelor's degree, Master's degree, MBA, or PhD in Business, Finance, Economics, Analytics ...

As a fully remote organization, Achieve offers flexible work schedules that promote work-life ... Comfortable using Zoom, Moodle, Google Workspace, and other eLearning technologies. * Ability to ...

Miami. FL, or Remote (must be able to work Americas timezones) About Switchboard: Switchboard is ... Participate in on-call rotations as needed About you: * You're passionate about economic freedom ...

What You'll Do * Evaluate deal economics, assumptions, and risk -- using business judgment ... Advanced Excel/Google Sheets skills, comfortable building and iterating on complex models quickly ...

What You'll Do * Evaluate deal economics, assumptions, and risk -- using business judgment ... Advanced Excel/Google Sheets skills, comfortable building and iterating on complex models quickly ...

RevOps Analyst

Santa Monica, CA ยท On-site +1

$120K - $140K/yr

Evaluate deal economics, assumptions, and risk - using business judgment alongside formulas, not ... Advanced Excel/Google Sheets skills, comfortable building and iterating on complex models quickly ...

... economic, and social inclusion of immigrants, refugees, and international students. For 50 years ... Google Ads, LinkedIn Sales Navigator, Google Analytics, Looker Studio, SEO, AEO/GEO, Marketo ...

Strong command of Google Ads and Microsoft/Bing Ads campaign management, including Smart Bidding ... Experience in healthcare, health-tech businesses where customer LTV is central to growth economics

Deep understanding of key unit economics metrics, including LTV, CAC, payback periods, and cohort ... Advanced proficiency in Excel or Google Sheets, with experience building granular financial models ...

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Remote Google Economist information

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$46K

$82.1K

$122.5K

How much do remote google economist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote google economist in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a remote Google economist do?

A Remote Google Economist applies economic theories and data analysis to solve business problems at Google, often working from a location outside the company's main offices. They analyze large datasets, design experiments, and provide insights that help inform product development, policy decisions, and strategy. Their work may involve topics such as market design, auctions, pricing strategies, and the economic impact of new features or products. Collaborating with engineers, researchers, and product managers, they ensure that economic principles are effectively integrated into Google's business decisions.

How does a remote Google economist typically collaborate with cross-functional teams to inform business decisions?

As a Remote Google Economist, you will frequently work with product managers, engineers, data scientists, and policy teams to analyze large datasets and provide actionable insights. Collaboration often involves participating in virtual meetings, presenting findings, and developing economic models that help shape product strategies or policy decisions. Effective communication and the ability to translate complex economic concepts into clear recommendations are crucial in this role. Your contributions help ensure that business decisions are data-driven and aligned with broader company objectives.

What are the key skills and qualifications needed to thrive as a remote Google economist, and why are they important?

To excel as a Remote Google Economist, you need a solid background in economics, quantitative analysis, and statistical modeling, usually demonstrated by an advanced degree in economics or a related field. Familiarity with econometric software (such as Stata, R, or Python), data visualization tools, and experience with large datasets are typically required. Strong communication, problem-solving abilities, and the capacity to work independently are valuable soft skills in this remote environment. These competencies are vital for deriving actionable insights from complex data and effectively collaborating with cross-functional teams to drive business impact.

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

AspectRemote Google EconomistRemote Data Analyst
Required CredentialsAdvanced degree in Economics or related field, strong analytical skillsBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentCollaborates with cross-functional teams at Google, focuses on economic research and policyAnalyzes data sets, creates reports, supports decision-making across industries
Employer & Industry UsagePrimarily employed by Google or tech companies, in tech and digital marketsUsed across various industries including finance, healthcare, marketing, and tech

The Remote Google Economist specializes in economic research and policy analysis within Google, requiring advanced economics credentials. In contrast, a Remote Data Analyst focuses on data interpretation and reporting across multiple industries, often with a background in data science. Both roles involve data analysis but differ in focus, industry application, and required expertise.

What cities are hiring for Remote Google Economist jobs?

Cities with the most Remote Google Economist job openings:

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

The most popular types of Google Economist jobs are:

What states have the most Remote Google Economist jobs?

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

Infographic showing various Remote Google Economist job openings in the United States as of July 2026, with employment types broken down into 64% Full Time, 5% Part Time, and 31% Contract. Highlights an 46% Physical, 2% Hybrid, and 52% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.

Senior Solutions Engineer, Google Cloud & Maps Platform

Sanborn Map

Boston, MA โ€ข Remote

$60 - $77.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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.