Production Master Scheduler
Astranis - San Francisco
Posted Jan 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
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- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Production Master Scheduler San Francisco Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe- large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Production Master Scheduler A Production Master Scheduler is the creator and owner of the Astranis production schedule across all programs, and the leader of the Production Control function. You will be responsible for developing and maintaining plans that push the limits of what is possible but are still achievable, gaining buy-in from key stakeholders, and working with company leadership and production resources to execute them. The ideal candidate must be able to filter a complex schedule of thousands of lines into simple targets that people can understand, navigate under-constrained problems with large data sets and converge on a path forward, stay aware of the status of many things and spot problems before they occur, and possess excellent
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