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Partner Engineer, Manager (Generative AI)

Meta

Partner Engineer, Manager (Generative AI)

Meta

Mumbai, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Equity

Healthcare

Required Skills

Node.js

React

TypeScript

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Meta

Partner Engineer, Manager (Generative AI)

2 months ago• Mumbai, India
Viewed on February 1, 2026
Apply on company site

About Us

Meta builds technologies that help people connect, find communities and grow businesses.

  • Size: 10000+ employees
  • Industry: Engineering, Social Media, Technology

View Company Profile:

We are seeking an experienced Manager to lead our Partner Engineering team focused on enterprise engagements. In this role, you will be responsible for managing a team of partner engineers and direct partner/enterprise/ engineers. You will play a crucial role in developing and implementing strategies for partner enablement, overseeing partner relationships, and driving innovation in our partner engineering processes.

Partner Engineer, Manager (Generative AI) Responsibilities:

  • Technical Strategy & Execution: Lead the team's technical work, driving the creation of proof-of-concept and architecting scalable, reliable AI solutions with partners, leveraging Meta AI models (e.g., Llama)
  • Product Delivery & Adoption: Direct technical resources to ensure successful deployment and adoption of key solutions, including business function-specific benchmarks and evaluations
  • Team Leadership & Growth: Lead, mentor, and grow a high-performing team of partner engineers. Manage recruitment, onboarding, and foster innovation, continuous learning, and knowledge sharing
  • Partner Engagement & Enablement: Develop and implement strategic plans for partner engagement, enablement, and relationship management. Analyze partner requirements, provide recommendations, and drive improvements in integrations and deployments
  • Model Optimization Oversight: Guide the team in model development, fine-tuning, evaluation, and optimization (e.g., RAG, quantization), ensuring high technical standards and alignment with evolving partner needs
  • Cross-Functional Collaboration: Serve as the primary technical point of contact, ensuring seamless integration and alignment between Meta's Product & Engineering and partner teams
  • Tooling & Ecosystem Development: Drive the creation of technical resources, tools, and documentation to accelerate solution building and support partner deployments. Champion partner feedback within Meta's product development processes
  • Performance Management: Establish and monitor Key Performance Indicators (KPI) and success metrics for the team, ensuring continuous improvement in partner engineering processes and outcomes
  • Executive Representation: Represent the Partner Engineering team in executive-level meetings and communications, advocating for partner needs and aligning initiatives with company goals

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 10+ years of experience in partner engineering, technical program management, or related roles
  • 5+ years of experience managing and leading technical teams
  • 2+ years of hands-on experience leading the development and deployment of Generative AI solutions, including work in analytics platforms, AI/ML tools and infrastructure, AI/ML applications, or machine learning research
  • Demonstrated practical understanding of AI/ML technologies, cloud platforms, and enterprise software integrations
  • Direct experience working with Large Language Models (LLMs) beyond just API interactions
  • Experience communicating effectively, influencing, and collaborating across various levels of the organization
  • Proven track record of successfully managing complex technical projects and partner relationships

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related technical field
  • Experience architecting, deploying, and operating AI-powered systems in production environments with significant user or data scale (e.g., millions of users, large-scale data pipelines, or real-time inference systems)
  • Prior experience in Go-to-Market strategy and working closely with business development and sales teams, especially in relation to large enterprises and Small and Medium Businesses in India

Knowledge of data 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.

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By signing up, you agree to our 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.

Client-provided location(s): Mumbai, India Job ID: a1KDp00000E2gelMABEmployment Type: OTHERPosted: 2025-11-08T19:53:37Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Leave of Absence

Financial and Retirement

  • 401(K)
  • 401(K) With Company Matching
  • Pension
  • Company Equity
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling

Professional Development

  • Learning and Development Stipend
  • Promote From Within
  • Mentor Program
  • Shadowing Opportunities
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program

Diversity and Inclusion

Company Videos

Hear directly from employees about what it is like to work 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 · Product Designer

1,471 reports

$273,432

total / year

Base

$180,290

Stock

$72,619

Bonus

$20,523

$186,170

$416,421

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