Engineering Manager, Platform & Data System

Lead and support a team of senior engineers working across Carbon Mapper’s software, data processing, and geospatial systems.
Description

Engineering Manager, Platform & Data SystemAbout Carbon MapperCarbon Mapper is a non-profit organization based in Pasadena, CA with the mission to drive greenhouse gas emission reductions by making methane and carbon dioxide data accessible and actionable. We leverage remote sensing technology to detect, pinpoint, and quantify methane and carbon dioxide (CO2) emissions at the scale of individual facilities. All of our methane and CO2 data is made publicly available for non-commercial use on our Carbon Mapper Data Portal to provide decisionmakers with the information they need to prioritize and take mitigation action.Carbon Mapper also works with stakeholders and decision makers to fill data gaps, lead on cutting edge science, collaborate to drive reductions, and advance education and insights on emissions globally. To do this, we work with partners to leverage a constellation of satellites. Data from these satellites will offer the next major step in scaling up the organization's robust data portal featuring thousands of direct observations of global methane and CO2 super-emitters.To learn more about Carbon Mapper, please visit us at https://carbonmapper.org. To view our data, please visit us at https://data.carbonmapper.org.About The RoleCarbon Mapper is looking for an Engineering Manager who will lead and support a team of senior engineers working across Carbon Mapper’s software, data processing, and geospatial systems. This role applies a collaborative leadership approach toprovide day-to-day people management, remove blockers, and guide technical decisions to support the delivery of high-quality, reliable software and data products.This position is responsible for engineering delivery quality, system reliability, and overall team effectiveness. The Engineering Manager oversees people management, technical quality, and execution outcomes, and partners closely with the Senior Technical Project Manager and Director of Products & Engineering on planning, prioritization, and coordination. While this role does not own sprint processes, it contributes actively to planning and execution and reinforces strong engineering practices.The Engineering Manager supports technical decision-making, helps navigate tradeoffs, and promotes consistent practices across code quality, testing, documentation, observability, and pipeline reliability. The role collaborates closely with product,science, operations, and external partners to ensure alignment and predictable delivery.This is a hands-on management role requiring the ability to build trust with senior individual contributors, operate effectivelyin a cross-disciplinary environment, and contribute directly to development work on key systems and initiatives.Essential Duties and Responsibilities• Lead and support a team of senior engineers across software, data processing, and geospatial systems• Oversee people management, including performance management, career development, and regular feedback• Provide day-to-day guidance, remove blockers, and support engineers in delivering high-quality, reliable outputs• Balance technical contributions with management responsibilities, focusing individual contributor time on high-impact work• Partner with the Senior Technical Project Manager on planning, prioritization, resourcing, and execution• Contribute to scoping, estimation, feasibility assessment, and sequencing of work• Participate in sprint ceremonies and project processes without owning sprint facilitation• Provide technical leadership on architecture, system design, and cross-cutting decisions in collaboration with senior engineers• Support engineers in navigating technical tradeoffs, dependencies, and ambiguity; escalate risks as needed• Promote consistent engineering practices across code quality, testing, documentation, observability, and pipeline reliability• Identify delivery risks early and partner with stakeholders to maintain predictable execution• Collaborate with product, science, operations, and external partners to ensure alignment and clear expectations• Support hiring efforts and lead onboarding to enable new team members to contribute effectively• Establish regular 1:1s and feedback mechanisms to support team effectiveness and engagement• Foster a culture of ownership, transparency, and collaborative problem-solving• Contribute to scalable processes that improve clarity and predictability while minimizing unnecessary overheadMinimum Qualifications (Knowledge, Skills, and Abilities) Must-Have Skills & Experience:• 3+ years of engineering management experience, including supporting senior individual contributors• Prior hands-on engineering experience (e.g., backend, data, geospatial, platform, or DevOps) with the ability to understand tradeoffs and guide technical decisions• Applied AI engineering experience with Claude Code, Cursor, Codex, or agentic AI workflows• Experience supporting engineers working across multiple technical domains• Technical proficiency in backend systems, cloud architectures, and data pipelines• Experience partnering with technical project or program managers, with clear alignment between people management and execution processes• Demonstrated ability to identify risks, remove blockers, and support predictable delivery in a dynamic environment• Ability to break down complex problems and support teams in navigating ambiguity• Strong communication and interpersonal skills, with the ability to build trust and provide clear, constructive feedback• Experience improving team effectiveness, engineering quality, and system reliability in a small or scaling organization• Ability to collaborate effectively with engineers, scientists, and cross-functional partners• Experience hiring and onboarding engineers in a growing technical organizationNice-to-Have Skills:• Experience in geospatial systems, remote sensing, or scientific computing• Experience working with large-scale data processing or production data pipelines• Familiarity with cloud-based infrastructure (e.g., AWS) in data-intensive environments• Experience supporting machine learning or algorithm-driven data products in production• Experience working in cross-disciplinary environments involving science, engineering, and operations• Experience contributing directly to codebases while in a management role• Familiarity with tools and practices for observability, pipeline reliability, and data qualityHoursThis is a full-time, exempt position (40 hours per week). Occasional after-hours and weekend work may be required to meet deadlines. This role also participates in a compensated on-call rotation, typically not exceeding one week per month.LocationCarbon Mapper is headquartered in Pasadena, California, but we embrace the virtual office and are continuing to grow our team across the United States.CompensationThe total compensation for this opportunity includes a base salary range of $195,000 - $215,000/year. This is our target compensation range and is subject to multiple factors including level, experience, and location. As you go through our interview process, our recruiter will work with you to identify a competitive base salary withinthe proposed range.BenefitsAs a Carbon Mapper employee, you will have access to a wide range of benefits including affordable health coverage (medical, dental, vision), a generous time-off policy, professional development, and more.To apply, please visit us at https://carbonmapper.org/about/careersCarbon Mapper is an equal opportunity employer that believes a diverse team will not just lead to a better working environment, but will also help us create better products and services.Carbon Mapper is committed to the full inclusion of all qualified individuals. If any reasonable accommodation is needed in our process, please reach out to [email protected].



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