Senior Technology Manager (13-15 yrs)

Key Responsibilities :

1. Simulation Services & 3D Technologies :

- Oversee the development and deployment of simulation solutions for enterprise use cases (e.g., robotics, digital twins, industrial automation, training & visualization).

- Lead teams working with Unreal Engine, NVIDIA Omniverse, Unity, and other 3D simulation platforms to build high-fidelity, real-time simulations.

- Ensure seamless integration of simulation solutions with AI/ML models, physics engines, sensors, and cloud-based services.

- Define and manage technical roadmaps, performance optimization strategies, and scalability of simulation-based applications.

- Establish best practices for executing and managing simulation projects, including customer success management.

- Manage cross-functional teams including software engineers, 3D artists, AI/ML specialists, DevOps, and cloud architects.

2. SaaS Product Development & Lifecycle Management :

- Drive the end-to-end lifecycle of SaaS products, from MVP development to enterprise-scale deployment.

- Manage backlogs, sprint planning, and execution based on the agreed roadmap and team bandwidth.

- Collaborate with engineering teams to ensure scalable architectures, robust security, and efficient DevOps & CI/CD practices.

- Oversee feature development, UX improvements, and system performance based on customer feedback.

- Implement AI-driven automation, analytics, and monitoring for SaaS product optimization.

3. Technology Strategy and Stakeholder Management :

- Implement Agile methodologies (Scrum/Kanban) to streamline project execution and delivery.

- Develop and execute project plans, timelines, budgets, and risk management strategies.

- Work closely with executive leadership, product managers, and enterprise customers to define and execute technology-driven business outcomes.

- Stay ahead of emerging simulation, AI, and cloud technologies to drive innovation.

- Develop best practices for performance optimization, reusability, and reliability in simulation and SaaS development.

- Foster a culture of continuous learning and skill development within the engineering teams.

Required Skills & Qualifications :

- 12+ years of experience in software development, simulation services, and SaaS product management.

- At least 3+ years of experience managing enterprise projects.

- Strong expertise in Unreal Engine, NVIDIA Omniverse, Unity, and real-time 3D rendering.

- Good understanding of cloud platforms (AWS, Azure, GCP), DevOps (Kubernetes, Terraform, CI/CD pipelines), and AI/ML integration.

- Experience with data pipelines, AI-driven simulations, and physics-based modeling.

- Knowledge of SaaS architectures, microservices, API development, and multi-tenant cloud environments.

Preferred Qualifications :

- Experience in digital twins, autonomous systems, robotics, or industrial simulations.

- Solid experience in building and managing SaaS products.

- Familiarity with AI/ML models for simulation, reinforcement learning, or predictive analytics.

- Exposure to gaming engines or interactive 3D environments.