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Remote Ocean Modeling Jobs in Colorado (NOW HIRING)

Remote Ocean Modeling information

What are the key skills and qualifications needed to thrive as a Remote Ocean Modeler, and why are they important?

To thrive as a Remote Ocean Modeler, you need a solid background in oceanography, mathematics, and computational modeling, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, MATLAB, or Fortran), high-performance computing, and specialized modeling software like ROMS or HYCOM is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills distinguish top performers in this role. These competencies are vital for accurately simulating ocean dynamics, interpreting complex data, and collaborating with multidisciplinary teams in remote settings.

What is remote ocean modeling?

Remote ocean modeling is the practice of using computer simulations and mathematical models to study and predict ocean behaviors—such as currents, temperature, and tides—from a location that is not physically at sea. Professionals in this field analyze data remotely, often leveraging satellite observations, remote sensors, and advanced software to create accurate models of oceanic processes. These models are crucial for understanding climate change, supporting marine navigation, managing fisheries, and forecasting weather events. Remote ocean modeling enables researchers and organizations to monitor and assess the health of the oceans without the need for constant on-site measurements.

What are some common challenges faced by remote ocean modelers, and how can they be addressed?

Remote ocean modelers often encounter challenges such as coordinating with multidisciplinary teams across different time zones, managing large datasets, and ensuring reliable computational resources from offsite locations. To address these, it's important to establish clear communication protocols, utilize collaborative platforms for code and data sharing, and have access to secure, high-performance computing environments. Proactively scheduling regular virtual meetings and leveraging cloud-based modeling tools can also help maintain workflow efficiency and team cohesion.

What is the difference between Remote Ocean Modeling vs Remote Marine Data Analyst?

AspectRemote Ocean ModelingRemote Marine Data Analyst
Required CredentialsDegree in Oceanography, Marine Science, or related fields; experience with modeling softwareDegree in Marine Science, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch institutions, environmental agencies, or private companies; focus on modeling simulationsData-focused roles in research, consulting, or government agencies; emphasis on data interpretation
Industry UsageUsed for climate prediction, ocean circulation studies, and environmental impact assessmentsApplied in marine resource management, policy advising, and environmental monitoring

Remote Ocean Modeling involves creating simulations of ocean processes using specialized software, primarily for research and environmental applications. In contrast, Remote Marine Data Analysts focus on analyzing marine data sets to derive insights and support decision-making. Both roles require strong analytical skills and relevant scientific backgrounds but differ in their core activities and software tools used.

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What cities in Colorado are hiring for Remote Ocean Modeling jobs? Cities in Colorado with the most Remote Ocean Modeling job openings:

Director of Product Management, Weather and Climate

Spire

Boulder, CO • On-site, Remote

$241K - $253K/yr

Other

Posted 27 days ago


Job description

Spire Global is seeking a visionary and execution-focused Director, Product Management to lead product strategy for our Weather & Climate business unit. This senior leadership role is accountable for the full product lifecycle - from market discovery and business case development through roadmap execution and commercial launch - across our SaaS and DaaS portfolio.

Reporting to executive leadership, the Director will partner closely with Sales, Marketing, Customer Experience, Engineering, and Data Science teams to identify unmet industry needs, define differentiated solutions, and bring first-to-market products that generate durable revenue and competitive advantage. The ideal candidate combines deep domain expertise in meteorology, atmospheric science, or weather technology with the commercial instincts and leadership skills to shape a high-growth product portfolio.

Markets & Domains 

The Director will own and evolve Spire's product strategy across the following markets: 

  • Renewable Energy - wind & solar forecasting 
  • Energy Utilities - grid reliability & outage risk 
  • Energy & Commodity Trading - weather-driven market signals 
  • Smart Agriculture - field-level agrometeorology 
  • Soil Moisture Modeling & Remote Sensing 
  • Government & Defense Weather Programs 
  • Aviation Weather (nice to have) 
  • Emerging Climate Risk & Resilience Markets 
  • Insurance Risk Management - weather-driven risk assessment & underwriting 
  • Parametric Insurance Solutions - index-based triggers & payout modeling 

Key Responsibilities

Product Strategy & Roadmap

  • Define and own the multi-year product strategy and roadmap for Spire's Weather & Climate SaaS and DaaS portfolio, aligned with corporate growth objectives
  • Conduct continuous market research, competitive intelligence, and customer discovery to identify high-value industry problems and whitespace opportunities
  • Develop and prioritize product investment theses backed by rigorous business cases, financial modeling, and ROI analysis
  • Identify and execute first-to-market product opportunities that create competitive moats and expand Spire's addressable market

Product Development & Execution

  • Lead cross-functional product development from concept through general availability, partnering with engineering, data science, and design teams
  • Apply agile product development methodologies with structured stage-gate processes for new market entries
  • Define product requirements, acceptance criteria, and success metrics; hold teams accountable to delivery timelines and quality standards
  • Collaborate with the weather modeling team to integrate AI/ML modeling and toolsets into software products and services
  • Integrate Spire's GNSS-RO, GNSS-R, and Hyperspectral Microwave Sounding data into end user products and solutions, including ocean surface winds forecasts and soil moisture forecasts derived from GNSS-R
  • Champion the adoption of AI tools across the product management and software development lifecycles - including AI-assisted roadmapping, requirements generation, code acceleration, automated testing, and documentation - to increase team velocity and product output

Commercial & Go-to-Market Leadership

  • Partner with Sales to develop solution narratives, competitive positioning, pricing frameworks, and deal support for strategic accounts
  • Provide sales engineering support to the Sales team - including technical demonstrations, proof-of-concept engagements, RFP/RFI responses, and solution scoping for complex enterprise opportunities
  • Collaborate with Marketing on product launch campaigns, industry event strategy, and demand generation content
  • Engage directly with enterprise customers and strategic prospects to validate roadmap direction, gather use-case requirements, and close feedback loops
  • Work with Customer Experience to monitor product adoption, retention risk, and NPS signals - translating insights into product improvements
  • Build and maintain competitive intelligence frameworks to anticipate competitor moves and proactively flank with superior solutions

Leadership & Team Development

  • Lead, mentor, and grow a team of product managers across the Weather & Climate portfolio
  • Represent Weather & Climate product strategy to the executive team, board-level stakeholders, and external partners
  • Contribute to M&A evaluation, partnership diligence, and integration planning as the product subject matter expert

Required Qualifications

  • 8+ years of progressive product management experience with demonstrated ownership of commercial weather, meteorological, or atmospheric data products
  • Deep technical domain expertise in at least three of the following: numerical weather prediction (NWP), mesoscale meteorology, GNSS-RO atmospheric sounding, AI/ML-based forecasting, radar/satellite data processing, or climate modeling
  • Demonstrated experience adopting and scaling AI tools within product management and software development workflows - such as AI-assisted product discovery, sprint planning, code generation, QA automation, or technical documentation - to measurably accelerate delivery
  • Proven track record delivering SaaS and/or DaaS products from concept to full production in a B2B enterprise environment
  • Experience developing and presenting business cases with financial models, market sizing, build/buy/partner analysis, and executive-level approval
  • Demonstrated ability to synthesize customer and market intelligence into actionable product strategies that generate measurable revenue
  • Strong commercial instincts with hands-on experience partnering with Sales and Marketing to drive pipeline generation and customer retention
  • Experience applying agile product development methodologies in cross-functional engineering environments
  • Excellent executive communication skills - written, verbal, and visual - with ability to influence without authority across all organizational levels
  • Bachelor's degree in Meteorology, Atmospheric Science, Computer Science, Engineering, or a related technical discipline

Preferred Qualifications

  • Master's degree in Meteorology, Atmospheric Science, Data Science, or a related field strongly preferred
  • MBA or graduate business degree is a plus, particularly for candidates with a strong technical background seeking to deepen commercial and strategic acumen
  • Experience with aviation weather products, METARs/TAFs, turbulence/icing models, or aviation-specific forecasting platforms
  • Background in energy markets, commodity trading analytics, or agricultural technology products
  • Familiarity with space-based remote sensing, GNSS-RO, SAR, or satellite-derived data products
  • Experience at a data/analytics company with API-delivered data products (DaaS) and subscription SaaS business models
  • Prior people management experience with product teams of 3+ direct reports
  • Experience with competitive intelligence tools, PLG motions, or product-led sales enablement strategies

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses-this is not something candidates need to have before applying. #LI-RK1