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Reflective

Pitch a Role / General Opportunities

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Remote
Employment
Not stated
Level
Not stated
Function
Science & research
Pay
Not stated
Posted
9 months ago

Pay and the market here

390 science jobs open in San Francisco: 10% remote, 92 posted in the last 30 days.

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About the role

Are you curious to join the Reflective team, but do not see an active role that fits what you're looking for? Apply below.

Sunlight reflection may be one of the only tools—alongside rapid emissions reductions, adaptation, and large-scale carbon removal—that could meaningfully reduce climate risks over the coming decades. But today, we do not have the evidence base needed to make informed decisions about whether, when, or how it should ever be used. Most of the most consequential uncertainties cannot be resolved with models and lab studies alone—and we are not currently on a path toward timely, legitimate decision-making.

Reflective is a philanthropically-funded nonprofit working to close that gap. Our mission is to equip the world with the data and tools needed to make informed decisions about SAI, fast enough to matter.

We’re building a small, high-trust team to take on problems that are technically hard, politically complex, and deeply consequential. We care less about your exact background and more about how you think and work. Do you approach complex problems with rigor and humility? Can you operate productively in ambiguity—building structure where none exists, and revising it as new evidence emerges? Do you hold yourself to a high bar for analytical clarity and written communication? Are you motivated by the responsibility that comes with working on research that may affect millions of lives?

If you’re excited by careful, high-impact research—and by doing it in a way that earns public trust—we’d love to hear from you.

Location

We have a slight preference for candidates who can work from our Bay Area office 2-3 days/week. However, we are open to candidates based anywhere in the world who can overlap with our core working hours. We may be able to sponsor visas for US-based foreign nationals and have a moving stipend to support candidates who would like to relocate to the Bay Area.

But regardless of location, we love seeing each other in person and believe regular co-location helps improve collaboration and team culture. As such, we plan regular team co-working weeks, typically in the Bay Area. This role may entail additional travel (up to 1x per month) for conferences, external meetings, and team gatherings. Of course, we cover those travel costs.

Diversity

At Reflective, recruiting, hiring, mentoring, and retaining a diverse workforce is critical to our success. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Reflective is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Please note since this is an open-ended call not tied to a specific role, we will not respond to all pitch applications. If we see something relevant to our needs, we will contact you. Thank you for your interest in joining our team!

Source

Posted by Reflective on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 12:23 UTC; the original is the reference.

View the original ad ↗

More at Reflective

  • Reflective · San Francisco, California, United States

    RemoteLead / staff$130K – $190K a yearScience & research

    Decision-makers evaluating SAI need a concrete, internally consistent account of what hypothetical early deployment would involve. Existing research addresses many individual components, but important questions remain about how they fit together. Reflective is developing a…

  • Reflective · San Francisco, California, United States

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    Reflective studies stratospheric aerosol injection (SAI) through modeling and, where the science requires it, by assessing the feasibility of small-scale outdoor experiments. Our modeling work includes AIDE-SAI, a linked set of machine-learning emulators that simulates SAI end…