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New York, New York, United States
Onsite
Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.
We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.
Our vision: well… build the largest financial market on the planet.
Our mission: bring more truth to the world through the power of markets.
Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.
We are looking for someone to own the operations and infrastructure behind Kalshi’s weather
markets. You will turn weather data into clear contracts, reliable markets, and accurate
settlements, while building the automation that allows the category to scale.
This is a hands-on role. You will write code, investigate station data, manage data partners, and
make sound settlement decisions under time pressure. When a report is revised or a station
goes down, you will know how to investigate and apply the contract terms.
Own settlement, monitor official reports, investigate discrepancies, and resolve settlement issues accurately and consistently with contract terms and exchange rules.
Design and launch contracts. Write clear terms for temperature, rain, snow, and hurricane markets. Anticipate trace precipitation, missing observations, report revisions, station relocations, and time-boundary issues before launch.
Manage Synoptic and other data relationships, including service levels, quality checks, and fallback sources permitted by contract terms. Understand when vendor observations diverge from the official settlement source.
Build and maintain Python and SQL workflows that list, monitor, and settle hundreds of city-day markets, with reliable orchestration, alerting, and exception handling.
Partner with legal and compliance on contract self-certification, settlement procedures, and void policies. Maintain clear, reproducible audit trails for settlement decisions.
Work with trading, risk, product, and engineering to identify pricing and liquidity issues and expand weather markets for retail traders and institutional hedgers.
Practical knowledge of National Weather Service Climatological Reports (CLI) and Automated Surface Observing System (ASOS) station behavior, including outages, revisions, preliminary versus final values, and local standard time versus daylight time.
Experience running operational systems or data workflows where accuracy and reliability matter. You can investigate an ambiguous issue, make a defensible decision, and own the outcome.
Proficiency in Python and SQL, with experience building and operating automated data pipelines using Dagster or a similar orchestration framework.
Experience managing providers, service-level expectations, data quality, and fallback procedures. You can distinguish live observations from the authoritative source specified in a contract.
The ability to translate complex weather events and imperfect data into precise, unambiguous settlement terms.
Experience working under exchange rules, or the ability to quickly learn Part 40 self-certification, void policies, and settlement documentation requirements.
You are comfortable handling time-sensitive issues, including early-morning settlement questions, and building systems that prevent recurring problems.
You understand how market makers price weather and can recognize when liquidity incentives or trading activity create directional weather exposure.
Familiarity with utilities, energy traders, agriculture, reinsurance, or other institutional users of weather markets.
An understanding of ensembles and model biases, and how they inform market design and surveillance.
Salary Range: $120,000 to $180,000 annually plus equity and benefits. This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.
Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.
Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.
Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.