Sr. Operations Engineer (Starlink Growth)
SpaceX is hiring a Sr. Operations Engineer (Starlink Growth). Level rates it ; you can apply on SpaceX.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions data analysis, predictive modeling and a b testing among its tools and skills.
- Level classes it as a senior role.
- SpaceX has 2,800+ other open roles on Level.
AI in this role
Lead technical analysis and predictive modeling initiatives to improve customer retention and lifetime value for Starlink.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SR. OPERATIONS ENGINEER (STARLINK GROWTH)
SpaceX was founded on the belief that a future where humanity is exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars and the Moon.
Starlink is leveraging SpaceX’s experience in building rockets and spacecraft to deploy the world’s most advanced broadband internet system and largest satellite constellation. The Starlink Growth team combines deep analysis, business strategy, and operational excellence to drive customer retention, improve lifetime value, and scale the business.
As a Sr. Operations Engineer, you will own high-impact initiatives from end to end. You will identify complex problems, build scalable solutions, influence cross-functional leadership, and translate data into strategic decisions that directly affect Starlink’s growth trajectory and profitability.
RESPONSIBILITIES:
- Own and lead major initiatives to improve Starlink customer experience, retention, and lifetime value through rigorous technical analysis and cross-functional execution
- Identify systemic engineering, product, and operational defects; design and drive comprehensive solutions at scale
- Deeply analyze end-user metrics to uncover root causes of churn and growth opportunities; develop and implement global strategies across hardware and service offerings
- Build, deploy, and maintain predictive models and analytical frameworks that proactively surface retention risks and opportunities
- Scope and execute complex experiments (including large-scale A/B tests, customer outreach campaigns, and automation) that measurably move key business metrics
- Partner with Engineering, Product, Finance, Customer Support, Legal, and Supply Chain leadership to drive data integrity, define KPIs, and align on strategic priorities
- Provide clear, concise, and actionable updates to senior leadership and executives on performance, risks, and strategic opportunities
- Define and continuously improve customer retention dashboards, tools, and processes; mentor other team members on analytical best practices
BASIC QUALIFICATIONS:
- Bachelor’s degree in Engineering, Mathematics, Computer Science, Data Science, Physics, or STEM field
- 5+ years of experience in operations, growth, analytics, product management, consulting, or a similar high-impact role
- 3+ years of experience in Python or SQL
PREFERRED SKILLS AND EXPERIENCE:
- Advanced degree or dual background strongly preferred (engineering + business/economics)
- Demonstrated experience building scalable analytical tools and models
- Proven ability to thrive in ambiguous, fast-paced environments and deliver results with minimal guidance
- Demonstrated success leading complex, cross-functional initiatives and influencing executive decision-making
- Advanced analytical and modeling skills (Python, SQL, R, PowerBI, Looker, Tableau, or equivalent)
- Exceptional communication skills with a track record of presenting to and influencing senior leaders
- Extreme ownership, bias for action, and a history of building automated solutions that scale
- Strong interpersonal skills with experience mentoring analysts or leading small project teams
- Ability to operate effectively both independently and as a leader within a highly cross-functional team
ADDITIONAL REQUIREMENTS:
- Must be available to work extended hours and weekends as needed
- Willingness to travel to customer sites, other SpaceX locations, and events as required
ITAR REQUIREMENTS:
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
SpaceX is an Equal Opportunity Employer; employment with SpaceX 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.
Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.
How we rate this
Sr. Operations Engineer (Starlink Growth) at SpaceX rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
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- List these exact terms on your resume: Data Analysis, Predictive Modeling, A B Testing, SQL, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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