Aligned Automation - Technical Program Manager

Description :

About the job :

Job Title : Technical Program Manager

About the Role :

As a Technical Program Manager (TPM), you will lead a dynamic team of AI engineers and full stack developers - to design, develop, and deliver scalable AI-driven products and web applications.

You will own the end-to-end execution of technical programs, from planning and architecture to deployment and optimization, ensuring alignment with strategic business goals.

Key Responsibilities :

- Lead the design, development, and delivery of AI/ML models, data pipelines, and full-stack applications.

- Drive program strategy, planning, and execution across multiple AI and software engineering initiatives.

- Partner with Data Science, Cloud Infrastructure, and Product Management teams to define program objectives and success metrics.

- Oversee architecture reviews, POCs, and solution scalability for AI and application systems.

- Define, manage, and communicate project roadmaps, milestones, risks, and dependencies.

- Facilitate Agile ceremonies (Scrum/SAFe) and ensure adherence to best practices.

- Mentor and empower engineering teams to improve delivery velocity, collaboration, and innovation.

- Track and report on program KPIs, resource utilization, and delivery health to executive leadership.

- Foster collaboration between AI research and engineering teams to move models from prototype to production.

- Ensure cloud-based deployments (AWS/Azure/GCP) meet standards for reliability, security, and cost-efficiency.

What Were Looking For :

- 7-10 years of experience in Technical Program Management or related roles.

- Strong background managing AI/ML or data-centric engineering teams.

- Proven experience delivering cloud-native applications and AI/ML solutions in production.

- Understanding of Python-based full-stack frameworks (e.g., Django, FastAPI, React/Node.js).

- Familiarity with AI/ML tools and workflows (e.g., TensorFlow, PyTorch, MLOps, model deployment).

- Hands-on experience with AWS and/or Azure cloud ecosystems.

- Deep knowledge of Agile/SAFe methodologies; certified Scrum Master or PMP preferred.

- Excellent communication, stakeholder management, and problem-solving skills.

- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications :

- Experience leading multi-disciplinary teams (AI, software, DevOps, data engineering).

- Understanding of MLOps pipelines, CI/CD, and API-driven architectures.

- Exposure to data governance, security, and compliance frameworks.

- Passion for innovation, emerging AI technologies, and scalable architecture design