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Remote Microsoft Climate Innovation Fund Jobs (NOW HIRING)

Jobgether

$94K - $124K/yr

... technology, and climate innovation, helping solve complex challenges impacting critical ... Fully remote work environment with flexibility across eligible locations. * Opportunity to work on ...

Human Agency

AI Resilience Fund Manager

New York, NY · Remote

$75K - $103K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Seattle, WA · Remote

$78K - $107K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Nashville, TN · Remote

$66K - $91K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Miami, FL · Remote

$66K - $90K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Philadelphia, PA · Remote

$69K - $95K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

$59K - $81K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Los Angeles, CA · Remote

$74K - $101K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

Human Agency

AI Resilience Fund Manager

Minneapolis, MN · Remote

$72K - $98K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

C10 Labs

Mentor | Climate & Sustainability

New York, NY · On-site +1

... fund and venture platform that partners with exceptional founders to build and scale category ... innovation who want to help founders solve meaningful industry challenges and build enduring ...

Human Agency

$60K - $82K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... responsible innovation. And through it all, we lead with purpose, love, and adventure. We do ...

YLabs

Climate and Health Economist

$59 - $87.50/hr

Founded in 2014 at the Harvard Innovation Lab, YLabs partners with young people to co-create ... The position is fully remote. LOCATION This is a fully remote role open to candidates globally.

Climate United FUND

Senior Officer, Outreach (Rural)

About Climate United Climate United will use funding from the EPA under the Inflation Reduction Act ... Remote within US Responsibilities: Conduct culturally tailored outreach, develop feedback channels ...

Fundrise

Investor Relations Analyst

Charleston, WV · Remote

$55K - $75K/yr

We continue to push into new territory: our Innovation Fund (VCX) recently listed on the NYSE as ... Remote-first work environment (must live in the United States) * Competitive medical, dental, and ...

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All JobsFinance and Insurance JobsRemote Microsoft Climate Innovation Fund Jobs

Remote Microsoft Climate Innovation Fund information

See salary details

$60K

$89.8K

$161.5K

How much do remote microsoft climate innovation fund jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote microsoft climate innovation fund in the United States is $89,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What is the Remote Microsoft Climate Innovation Fund?

The Remote Microsoft Climate Innovation Fund is a venture set up by Microsoft to invest in companies and projects that are developing innovative solutions to address climate change. The fund supports technologies and business models that can reduce carbon emissions or enhance sustainability, with a focus on scalable and impactful ideas. By operating remotely, team members work from various locations and collaborate online to identify, evaluate, and manage investments. The fund is part of Microsoft's broader commitment to become carbon negative by 2030 and to support a global shift to a low-carbon economy.

What kinds of projects or initiatives would I typically work on as part of the Remote Microsoft Climate Innovation Fund team?

As a member of the Remote Microsoft Climate Innovation Fund team, you will primarily focus on evaluating, supporting, and managing investments in companies and technologies that drive carbon reduction and sustainability. Your daily responsibilities may include conducting due diligence on startups, collaborating with internal Microsoft sustainability teams, and engaging with external partners to advance climate solutions. You'll often work cross-functionally with finance, engineering, and policy experts to assess impact and ensure alignment with Microsoft's sustainability goals. The remote setup allows for flexible collaboration across global time zones, but also requires strong communication and self-management skills.

What are the key skills and qualifications needed to thrive as a professional working with the Microsoft Climate Innovation Fund, and why are they important?

To excel in a role with the Microsoft Climate Innovation Fund, you need expertise in sustainable finance, climate technologies, and investment analysis, typically supported by a relevant degree in environmental science, finance, or business. Familiarity with ESG frameworks, carbon accounting systems, and financial modeling tools is often required. Strong communication, strategic thinking, and stakeholder engagement skills help professionals build partnerships and drive impactful projects. These abilities are essential for identifying and supporting innovative solutions that advance Microsoft's sustainability and climate objectives.

What is the difference between Remote Microsoft Climate Innovation Fund vs Remote Climate Data Analyst?

AspectRemote Microsoft Climate Innovation FundRemote Climate Data Analyst
CredentialsRelevant certifications in climate tech, Microsoft tools, or environmental scienceDegree in environmental science, data analysis, or related fields; certifications in data analysis or GIS
Work EnvironmentProject-based, collaborative teams within tech and environmental sectors, often remoteData-focused roles, analyzing climate data, often remote or hybrid
Industry UsageFunding and innovation projects in climate tech, sustainability, and Microsoft partnershipsAnalyzing climate data to inform sustainability strategies and policy

The Remote Microsoft Climate Innovation Fund focuses on funding and supporting climate tech projects within the Microsoft ecosystem, emphasizing innovation and collaboration. In contrast, the Remote Climate Data Analyst primarily analyzes climate-related data to support environmental decision-making. While both roles require environmental knowledge, the fund role emphasizes project funding and tech integration, whereas the analyst role centers on data interpretation and reporting.

More about Remote Microsoft Climate Innovation Fund jobs

What cities are hiring for Remote Microsoft Climate Innovation Fund jobs?

Cities with the most Remote Microsoft Climate Innovation Fund job openings:

What are the most commonly searched types of Microsoft Climate Innovation Fund jobs?

The most popular types of Microsoft Climate Innovation Fund jobs are:

What states have the most Remote Microsoft Climate Innovation Fund jobs?

States with the most job openings for Remote Microsoft Climate Innovation Fund jobs include:

What job categories do people searching Remote Microsoft Climate Innovation Fund jobs look for?

The top searched job categories for Remote Microsoft Climate Innovation Fund jobs are:

Remote Microsoft Climate Innovation Fund jobs near you
Infographic showing various Remote Microsoft Climate Innovation Fund job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $89,770 per year, or $43.2 per hour.

Senior Geospatial Machine Learning Engineer

Jobgether

On-site, Remote

$94K - $124K/yr

Full-time

Posted 11 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Geospatial Machine Learning Engineer based in Netherlands.

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights.
This role sits at the intersection of machine learning, geospatial technology, and climate innovation, helping solve complex challenges impacting critical infrastructure.
You will work on building and improving algorithms that analyze vegetation, assess risks, and support smarter decision-making for energy systems.
The position offers the opportunity to own impactful projects from experimentation through production while collaborating with multidisciplinary engineering and scientific teams.
You will contribute to the evolution of data-driven products using cutting-edge ML techniques, remote sensing data, and geospatial technologies.
This is an ideal opportunity for an experienced engineer passionate about applying AI to create meaningful environmental impact.

Accountabilities:

The Senior Geospatial Machine Learning Engineer will design, develop, and improve machine learning solutions that leverage geospatial data to deliver innovative environmental intelligence products. This role requires strong technical ownership, collaboration, and the ability to translate complex data challenges into practical solutions.

  • Develop new geospatial intelligence products using Python-based geospatial libraries, machine learning, and deep learning techniques.
  • Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
  • Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
  • Lead technical projects from planning and experimentation through implementation, delivery, and stakeholder communication.
  • Build tools and processes to evaluate model performance, product impact, and data-driven prioritization.
  • Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.
  • Contribute to technical direction, engineering practices, and team culture within a fast-growing environment.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Requirements:

The ideal candidate is an experienced machine learning or geospatial engineer with strong expertise in Python, scientific computing, and applied AI. They should be comfortable working independently, leading projects, and applying advanced technology to environmental and infrastructure challenges.

  • 8-10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
  • Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
  • Experience with scientific Python tools including NumPy, SciPy, scikit-learn, and Pandas.
  • Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.
  • Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data processing.
  • Experience with workflow orchestration tools such as Dagster or similar platforms.
  • Ability to independently lead initiatives, manage technical projects, and communicate results effectively.
  • Passion for climate technology and using machine learning to address complex environmental problems.

Nice-to-have qualifications:

  • Experience with vegetation science, forestry, energy infrastructure, or utility-related technologies.
  • Familiarity with observability tools such as Sentry and Grafana.
  • Previous experience in climate tech, geospatial AI, remote sensing, or environmental data companies.
Benefits:
  • Fully remote work environment with flexibility across eligible locations.
  • Opportunity to work on impactful climate technology projects using AI and satellite data.
  • Ability to influence technical direction, processes, and product development within a growing organization.
  • Collaboration with a diverse international team across engineering, product, design, and platform functions.
  • Exposure to cutting-edge machine learning, geospatial technologies, and real-world applications.
  • Inclusive culture focused on solving meaningful problems through technology.
  • Opportunity for professional growth in a mission-driven environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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