Partner Engineer Manager, Generative AI

About the Role

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 privacy, security, and compliance requirements for government and enterprise deployments.
• Experience with agile methodologies and project management tools.

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 WhatsApp 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.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Partner Engineering
• Technical Leadership
• AI/ML Solutions
• Cloud Platforms
• Enterprise Integrations
• Model Optimization (RAG, Quantization)
• Cross-functional Collaboration
• Technical Program Management