Vast

Manager, Soft Goods

Long Beach, California, United States · Full-time

Sponsorship not specified$102k-$146kDetected 7 days ago

ResearchLeadershipCommunicationCollaborationProblem SolvingLean Manufacturing

About the role

Next, Haven-1 is expected to become the world's first commercial space station when it launches, followed by additional Haven modules to enable permanent human presence by 2030.
If you want to work with the most talented people on Earth furthering space exploration for humanity, come join us.
This will be a full-time, exempt position located in our Long Beach location.

Lead and mentor a team of soft-goods fabrication technicians and manufacturing engineers.
Coordinate work schedules, staffing, and assignments to optimize productivity and meet program milestones.
Own and improve manufacturing processes for soft goods fabrication, driving efficiency and scalability.
Implement and oversee quality control measures, including inspection and documentation practices.
Collaborate closely with engineering teams and cross-functional partners to drive process improvements and design for manufacturability (DFM).
Identify training and development needs for the team and build organizational capability.
Develop and maintain strong relationships with leadership and cross-functional stakeholders.

Bachelor's degree or equivalent work experience.
5-7 years of experience in a manufacturing environment.
3+ years of experience working in a soft-goods manufacturing space.
1-2+ years of experience leading or managing technical teams.
Experience in a manufacturing leadership role within an aerospace or high-reliability environment.
Ability to lift up to 25 lbs unassisted.
Vast is looking for a Manager, Soft Goods reporting to the VP, Manufacturing, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

Familiarity with lean manufacturing principles and continuous improvement methodologies.
Commitment to safety, quality, and adherence to standards.
Ability to analyze data and implement process improvements.
Knowledge of aerospace-grade fabrics and sewing/fabrication processes.
Strong problem-solving skills and ability to make timely decisions.
Effective communication and collaboration skills across engineering and production teams.
Comfortable working in a high-pressure environment with changing priorities.
High attention to detail, strong work ethic, and personal integrity.

$102,000 - $145,500 USD
Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand.
Salary is just one component of our comprehensive compensation package.

Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand.
Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: medical, dental, and vision coverage for employees and dependents, generous paid time off

Ensure aerospace industry quality standards are followed and continuously improved.
Interface with internal customers/end users to define scope of work and ensure requirements are met.

Vast is an Equal Opportunity Employer
employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

This listing is sourced directly from Vast's careers page and normalized into a canonical job model.