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Benefits & Perks
•401(k) matching
•Health benefits
•Flexible work
•Collaborative environment
•Parental leave
•Stock options
•Healthcare
•Parental Leave
•Equity
Required Skills
Excel
SQL
SAP
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.
Meta Robotics Studio (MRS) is seeking a Technical Program Manager who will lead the evolution and execution of the data collection and annotation strategy for MRS. This TPM is responsible for building and managing an internal data operations function, including a contingent workforce co-located with MRS research and engineering teams. The TPM will serve as the primary point of contact for all new data operations initiatives, collaborating closely with research, software, prototype hardware, MRS Safety, Environmental Health and Safety (EHS), Facilities, Product Data Operations, and Meta tools and infrastructure teams to deliver integrated solutions for human demonstration and teleoperation scenarios.
Data Operations Manager Responsibilities:
- Drive cross-functional collaboration to converge on scalable data collection and annotation solutions
- Develop a software and metrics strategy to enable large scale data collection and labelling of human demonstration, teleoperation, and simulation
- Ensure compliance with safety and EHS requirements
- Track, analyze, and improve performance and efficiency of operators and annotators (internal and external) working through others
- Lead and run Monthly Business Reviews to report metrics and progress to leadership
Minimum Qualifications:
- Bachelor's degree or equivalent experience in Engineering, Science, or a relevant technical field
- 12+ years of experience in Technical Program Management
- Experience leading large-scale, cross-functional initiatives
- Experience in data operations, annotation, and workforce management in a technical environment
- Experience collaborating with research, engineering, safety, and operations teams
- Experience leading, driving strategic planning, and communicating
- Experience of solving complex problems and embracing ambiguity to drive innovative and impactful solutions
Preferred Qualifications:
- Masters degree or equivalent experience in Engineering, Science, or a related field
- Experience working in a highly collaborative, cross-functional environment while communicating complex concepts clearly and succinctly
- Experience with navigating highly ambiguous, startup initiatives
- Experience optimizing design of existing products or devices
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$199,000/year to $272,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
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Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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