VAST Data

VAST Data

Talent Operations Specialist

Long Beach, California, United States · Full-time

Sponsorship not specified$69k-$98kDetected 7 days ago
RecruitingResearch

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 role is not only about keeping recruiting running day to day.

Responsibilities

  • Own and optimize the day-to-day administration of our ATS and broader recruiting tech stack, including but not limited to workflows, and user access
  • Document, and continuously refine scalable recruiting processes, SOPs, and frameworks that balance speed, consistency, and a high-quality candidate experience
  • Build and maintain recruiting dashboards and reporting
  • Collaborate with recruiters, hiring managers, and the broader people team to elevate standards, share best practices, and drive continuous improvement across the function
  • Hands-on experience administering and configuring an ATS, including building workflows and reporting
  • Comfort navigating ambiguity and building without a fully defined playbook
  • Using an incremental, hardware-rich and low-cost approach, Vast is rapidly developing its multi-module Haven Station.
  • Haven Demo's 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft.
  • Vast is looking for a Talent Operation (Ops) Specialist, reporting to the Senior Manager, Talent Operations, to build and operate the systems, processes, and data that power how we hire.

Requirements

  • 3 to 4 years of experience in recruiting operations, HR operations, or a related operational roles
  • Demonstrated ability to analyze recruiting or operational data

Nice to have

  • Experience standing up or significantly overhauling recruiting processes or systems from the ground up, not only maintaining existing ones
  • Experience with workflow automation, systems integrations, or recruiting tool implementations
  • Experience operating in a high-growth environment
  • Strong ownership mindset with a focus on outcomes, accountability, and continuous improvement

Compensation

  • $69,000 - $98,000 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.

Benefits

  • Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand.

Company info

  • At Vast, our mission is to contribute to a future where billions of people are living and thriving in space.
  • Vast is developing next-generation space stations to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers.
  • Our team is all-in, committed to executing our mission safely and on time.

Equal opportunity

  • 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 Data's careers page and normalized into a canonical job model.