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.  Dev Ops & 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 Dev Ops 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