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Group Manager, Technical Program Management

Meta

Group Manager, Technical Program Management

Meta

London, United Kingdom

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Parental leave

401(k) matching

Equity

Healthcare

Parental Leave

Required Skills

TypeScript

JavaScript

Node.js

The Meta TPM community is pioneering technologies that bring people closer together, and our organization helps Meta do this at global scale. As a Group Manager of Technical Program Management, you will drive the next generation of customer support experiences, leveraging cutting-edge AI technologies to deliver scalable, efficient, and delightful solutions for billions of users worldwide. You and your team will be responsible for breaking complex initiatives down into prioritized and tangible programs, ensuring consistent flow of information and investment to key stakeholders, identifying and managing dependencies across the organization, and finding long-term solutions to achieve high quality results for the initiatives. You will be responsible for driving and helping to scale product usage, seek to understand team dynamics, product ecosystem, and technical landscape while keeping the focus and accountability on delivery to ensure teams are making progress towards goals. You will be leading teams to drive strategy and execution in our AI Solutions and Customer Support product areas such as Agentic Solutions, Advertiser Support, AI Platforms, Reliability, Capacity & Efficiency as well as product platform areas that have specialized technical expertise, such as machine learning, APIs, and scaled infrastructure. We are looking for experienced technical leaders who can lead teams in complex, multi-platform development efforts at consumer scale while maintaining clarity of product direction and organizational awareness.

Group Manager, Technical Program Management Responsibilities:

  • Team Leadership & Development: Lead, mentor, and grow a team of TPMs, fostering an environment of innovation, collaboration, and operational rigor
  • Program Strategy & Execution: Define and drive the execution of complex, cross-functional programs that enhance customer support through AI-driven solutions, automation, and platform improvements
  • Stakeholder Management: Partner closely with Engineering, Product, Data Science, Operations, and other cross-functional teams to align on strategy, priorities, and deliverables
  • AI Solutions Delivery: Lead the end-to-end lifecycle of AI initiatives, from ideation and requirements gathering to launch and post-launch optimization, ensuring measurable impact on customer experience and operational efficiency
  • Process Optimization: Identify and implement best practices, frameworks, and tools to streamline program delivery, risk management, and communication across the organization

Minimum Qualifications:

  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 12+ years of software industry experience, including systems engineering, hardware engineering, AI research, or technical product/program management experience
  • 7+ years of people management experience leading teams to deliver technical programs or products from inception to delivery
  • Experience communicating and representing work to Executive Leadership and framing discussions to gain valuable feedback and experience working with technical management teams to develop systems, solutions, and products
  • Analytical and problem-solving experience with large-scale systems
  • Experience establishing and leading teams through multi-disciplinary relationships, including product management and engineering to drive product impact

Preferred Qualifications:

  • Experience with organizational design and building teams for scale
  • Experience with using AI, ML, and Generative AI to build solutions
  • Experience building agentic customer support products and systems
  • Experience in scaling large platform and system growth

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.

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

Meta

Public

A 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