Senior Manager Product Engineering

Role Overview

We are seeking a Manager / Senior Manager AI Product Engineering to lead the design, development, and deployment of AI-driven products that transform real estate investment and operational decision-making. This role combines hands-on full-stack engineering, AI/ML platform leadership, and people management, with clear ownership of cloud infrastructure and AWS environments supporting enterprise AI products.

Key Responsibilities

• AI Product Architecture & Full-Stack Development

- Architect and deliver end-to-end AI products, owning both front-end (React) and backend services/APIs.

- Build modern, scalable React-based user interfaces for AI-powered workflows, dashboards, and decision-support tools.

- Design and implement backend services integrating LLMs, GenAI agents, and ML models.

- Develop retrieval-augmented generation (RAG) pipelines using vector databases.

- Design and deploy AI agents for workflows such as market analysis and deal underwriting.

• Cloud Platform & AWS Ownership

- Own and manage AWS accounts and environments (dev, staging, production).

- Architect secure, scalable AWS solutions using Bedrock, Lambda, ECS, S3, IAM, and VPC.

- Lead deployment, scaling, and lifecycle management of AI services.

- Establish best practices for cloud security, cost optimization, and reliability.

• AI Engineering, MLOps & Delivery

- Oversee the full AI lifecycle from data ingestion to production deployment.

- Implement MLOps best practices including monitoring and model versioning.

- Benchmark models for accuracy, latency, explainability, and business impact.

• Leadership & Collaboration

- Lead and mentor AI and full-stack engineers.

- Conduct architecture and code reviews.

- Collaborate with product, data, and business stakeholders.

• Required Qualifications

- 812+ years in data / software engineering.

- 3+ years in AI/ML or GenAI product development.

- 2+ years in engineering leadership roles.

- Strong experience with React, Python, and AWS.

- Experience with AI, LLMs, RAG pipelines, and vector databases.

• Preferred Qualifications

- Degree in Computer Science or related field.

- Experience shipping AI products at enterprise scale.

- Strong communication and stakeholder management skills.