Technical Program Manager

Technical Program Manager

Location: Gurugram (Work From Office)

Experience: 10+ Years

Employment Type: Full-Time

Role Overview

We are looking for a Technical Program Manager (TPM) with strong engineering depth and program ownership to lead large-scale LLM post-training and AI data programs.

This is a tech-first TPM role requiring hands-on understanding of:

• Python full stack systems

• LLM post-training workflows (RLHF, SFT, evaluation pipelines)

• Docker-based environments and Git-driven workflows

You will act as a bridge between Engineering, Research, and Operations, ensuring that AI systems are not only designed but also executed at scale with high quality and reliability.

Key Responsibilities

1. Program Ownership & Delivery

• Own end-to-end delivery of LLM post-training programs

• Manage multiple high-throughput pipelines across teams

• Ensure alignment with client expectations, SLAs, and quality benchmarks

• Act as the single point of accountability for program success

2. Technical Execution & System Understanding

• Oversee design and execution of:

• RLHF / SFT pipelines
• code evaluation and validation systems

• Work closely with engineering teams to:

• Integrate APIs and data pipelines
• Ensure system scalability and reliability

• Identify and resolve technical bottlenecks and workflow inefficiencies

3. Engineering & Full Stack Alignment (Critical)

• Demonstrate strong understanding of:

• Python backend systems
• API and system architecture
• Frontend based systems

• Participate in:

• architecture discussions
• code reviews (high-level)
• o technical decision-making

4. DevOps & Workflow Practices

• Ensure effective use of:

• Git workflows (branching, versioning, PR reviews)
• Docker environments for consistent execution and deployment

• Align with CI/CD and automation practices for smooth delivery

5. Automation & Performance Optimization

• Drive automation across pipelines to improve:

• throughput
• consistency
• efficiency

• Define and track key metrics:

• pipeline throughput
• system reliability
• delivery efficiency

6. Stakeholder & Team Leadership

• Lead cross-functional teams across:

• Engineering
• Operations
• Quality / Evaluation

• Manage client communication and expectations

• Provide data-driven updates to leadership

• Mentor Program Managers, Leads, and Engineers

Technical Requirements (Mandatory)

• 10+ years of experience in technical program management or engineering leadership

• Strong hands-on understanding of:

• Python full stack systems (backend + APIs + integrations)
• LLM post-training workflows (RLHF, SFT, evaluation pipelines)

• Practical experience with:

• Git workflows (version control, branching, collaboration)
• Docker (containerization and execution environments)

• Experience working with: data pipelines; scalable distributed systems; API-driven architectures

• Ability to: review code and system design; translate business problems into technical solutions

Managerial & Leadership Expectations

• Proven ability to manage large-scale, complex programs

• Strong ownership of end-to-end delivery

• Experience handling high-volume, execution-driven environments

• Strong skills in:

• stakeholder management
• risk identification and mitigation
• delivery planning and tracking

• Ability to align technical execution with business outcomes

• Experience mentoring teams and driving performance excellence

Preferred Experience

• Experience in AI/ML or LLM ecosystems

• Familiarity with:

• evaluation frameworks / harness systems
• human-in-the-loop workflows

• Exposure to:

• cloud platforms (AWS/GCP/Azure)
• CI/CD pipelines and DevOps practices

Success Metrics

• Program delivery within timeline and quality benchmarks

• Efficiency and scalability of post-training pipelines

• Improvement in automation and system reliability

• Reduction in delivery bottlenecks and operational inefficiencies

• Cross-team alignment and execution effectiveness

Why Join Us

• Lead high-impact AI/LLM programs at scale

• Work on production-grade LLM systems

• High ownership in a fast-paced, execution-driven environment

• Opportunity to influence engineering, research, and operations alignment