채용
Benefits & Perks
•Top Tier compensation with equity
•Learning and development stipend
•Remote work flexibility
•Wellness benefits
Required Skills
Airflow
Apache Spark
SQL
The Meta Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a strong technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.As a Technical Program Manager (TPM), for the Monetization Ranking and Foundations AI team, you will be responsible for delivering significant business value through ML innovations and development of State of the Art Ads Recommendation technologies. You will work with Infra and ML Ranking teams of talented ML engineers, product managers, data scientists, and other cross-functional team members to build state of the art Modeling techniques and build effective tools (and strategy) to streamline model productionisation process while holding a high quality bar.
You'll communicate progress and drive program execution efficiently through cross-functional and cross-organisational collaboration to achieve business goals. You'll be an integral part of the team who will drive technical strategy, system architectural discussions, and make future-proof decisions that align with product strategy and vision.
Technical Program Manager, ML Responsibilities:
- Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery.
- Manage and own cross-functional products and programs execution in a matrix organization.
- Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area.
- Help define the roadmap and long-term strategy of the teams that you are working with.
- Design measurements to track impact and drive internal process improvements.
- Articulate the technology, requirements, goals and milestones of your team.
- Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions.
- Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders.
- Help drive product decisions to align with higher company initiative.
Minimum Qualifications:
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
- Experience driving and delivering complex AI/ ML tech programs or products from inception to delivery.
- Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms and programs.
- Knowledge of user needs, gathering requirements, and defining scope.
- Experience operating autonomously across multiple teams and functions, demonstrated critical thinking, and thought leadership.
- Communication experience at executive level and experience influencing senior leadership and technical management teams to develop systems, solutions, and products.
- Organizational, coordination and multi-tasking experience.
- Analytical and problem-solving experience with large-scale systems.
- Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.
Preferred Qualifications:
- Experience measuring and improving revenue.
- Experience optimizing for ads engagement.
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.
$168,000/year to $234,000/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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About Meta

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%
Recommend to a Friend
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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