 
						Aligned Automation
2 days ago
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 : 
 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, ).
    - 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
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