Engineering Manager, AI

Location: Gurugram, India

Department: R&D

Position Overview:

The GenAI Engineering Manager will be responsible for leading and managing a team of AI developers, data scientists, and engineers to design, develop, and deploy AI-powered software solutions. This role requires a deep understanding of AI technologies, strong project management skills, and the ability to collaborate effectively with cross-functional teams.

About Birdeye

Birdeye is the leading agentic marketing platform for multi-location brands.

Companies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations — from how they get found, to how they convert, to how they retain customers. Our platform replaces disconnected point tools with AI agents that execute work at the location level — responding to reviews, updating listings, publishing content, and driving conversions.

Backed by Marc Benioff, Jerry Yang, and Accel-KKR, Birdeye was named to G2’s 2026 Best Agentic AI Products list — appearing alongside the world’s leading AI companies. We’re expanding rapidly into enterprise, with growing adoption across large, multi-location brands.

What You’ll Do:

Join a fast-moving AI team building the intelligence layer of Birdeye's Insights product — where customer signals get turned into decisions our customers act on. You'll report to the Director of Engineering and be a key leader shaping how AI shows up across the platform. Whether it's leading the team behind AI Insights Recommendations and AI-powered Custom Reports, partnering with Product to turn fuzzy ideas into shipped GenAI features, architecting RAG and agentic pipelines that run reliably at multi-tenant SaaS scale, or mentoring engineers and data scientists into the next generation of AI leaders at Birdeye — you'll bring your technical depth and leadership to bear on it all. From setting the technical direction for how the team builds and evaluates LLM-powered systems, to owning the roadmap end-to-end with Product, staying close enough to the code to unblock your team when it counts, and representing Insights AI in the conversations shaping Birdeye's broader AI strategy — this role sits at the center of it all. Come join our exciting team as we redefine Customer Experience Management. Rapid iteration, collaboration, and passion is what drives innovation within Birdeye.

Primary Skills:

Team Management, Project Management, Agentic AI, Gen AI, LLM’s, NLP, AI/ML, RAG, Data Science, AWS/GCP, API Deployment for SAAS

Roles & Responsibilities:

Team Leadership

• Provide leadership and mentorship to a team of Agentic AI/AI/ML professionals.
• Foster a collaborative and innovative team culture.
• Set clear goals and expectations, and monitor team performance.

AI Strategy

• Collaborate with senior management to define the company's AI strategy and roadmap.
• Identify opportunities for AI integration and expansion across various products & services.

Project Management

• Plan, prioritize, and oversee the execution of Agentic AI / Gen_AI / AI / ML projects from conception to completion.
• Ensure projects are delivered on time and within budget.
• Monitor project progress and resolve issues as they arise.

Technical Expertise

• Stay up-to-date with the latest developments in Agentic AI /Gen AI/ AI and Machine learning.
• Provide technical guidance and expertise to the team.
• Participate in hands-on development and problem-solving when necessary.

Collaboration

• Work closely with cross-functional teams, including product managers, designers, and software engineers, to integrate AI solutions into software products.
• Foster collaboration and communication between AI and software development teams.

Quality Assurance

• Ensure the quality and accuracy of AI models and algorithms.
• Implement best practices for testing and validation of AI systems.

Documentation and Reporting:

• Maintain clear and comprehensive project documentation.
• Provide regular reports and updates to senior management.

Resource Management

• Manage resources effectively, including budget allocation and staffing.
• Recruit, train, and develop AI team members.
• Documentation and Reporting
• Maintain clear and comprehensive project documentation
• Provide regular reports and updates to senior management