Description :
Position : Technical Program Manager
Location : Hyderabad (work from Office)
Type : Full-time
Reports to : Vice President
Salary Range : As per the Market Standards
About the Company :
NStarX is an AI-first, Cloud-first engineering service provider built and led by practitioners. We are driven by the desire to integrate technologies that accelerate business value for organizations. With over a decade in the industry, we have helped several customers through their transformation journeys.
About the Role :
We are seeking an experienced Technical Program Manager to lead complex AI and Engineering projects who will take full responsibility of the end-to-end lifecycle of the execution. The ideal candidate must be passionate about technology, is not afraid to get into technical details including coding, if necessary, and is structured a detail oriented in their Project Management approach and is an excellent communicator with a strong customer focus.
Key Responsibilities :
- Own Technical and Project execution from discovery - pilot - production - post-go-live
- Focuses on quality, schedule, and commercials of programs managed.
- Lead Requirements, planning, architecture, build, and deployment, in a fast paced agile lifecycle.
- Collaborate with cross-functional teams (development, QA, and business stakeholders) to ensure alignment with client objectives.
- Build and maintain strong client relationships, acting as the primary point of contact for all governance aspects of the project including executive steering committees and QBRs.
- Mentor and guide team members to foster professional growth and performance excellence.
- Monitor project risks, issues, and dependencies, implementing proactive mitigation strategies.
- Drive continuous improvement initiatives and adopt best practices in Agile / Scrum and DevOps environments.
- Will support pre sales teams with SoWs, estimations, staffing plans, demo scripts etc.
Must-Have Skills & Experience :
Education :
B.E. / B. Tech or M. Tech / M.S. in Computer Science, Machine Learning, Data Engineering, or a related technical field. (PhD is a plus)Experience :
9+ years of experience in technical project or program management.Must have at least 5 years of experience is managing complex technical programsExpertise in managing fixed-price projectsExperience working with or familiarity AI development toolsGood Understanding on the technical aspects of GenAI patterns like RAG, LLM fine-tuning, guardrails and governance.Understands MLOps and DevOps concepts.Solid technical foundation in event-driven & microservices architecture and data security, compliance, and sovereigntyGood experience in establish named delivery KPIs, phase gates, and trend analysis to drive schedule adherence and continuous improvement.5 years or more experience in implementing goal cascades, calibration processes, 9-box talent reviews, promotion rubrics, and succession planning. Build role matrices and skill taxonomies; define learning paths and coaching frameworksSolid experience in recognition programs, conduct ESAT pulse surveys, and execute targeted retention interventions.Institutionalize blameless postmortems, incident reviews, and root-cause analysis to strengthen reliability and learning.Technical Proficiency :
Languages : Python (required), R (optional), basic Java familiarity (bonus)AI / GenAI : Hugging Face, LangChain, Diffusers, LLaMA / GPT, OpenAI APIsModel Serving : FastAPI, TorchServe, NVIDIA Triton, gRPCCloud Platforms : AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)MLOps & DevOps : MLflow, Kubeflow, GitHub Actions, Helm, Docker, Terraform, JenkinsData Tools : pandas, NumPy, scikit-learn, A / B Testing, Feature Stores, Model MonitoringProject Tools : JIRA, Confluence, MS Project, GitHub, Slack, LucidchartSoft Skills :
Strong technical writing, architectural communication, and documentation abilityAbility to translate model metrics, SLAs, and data architecture for executive and business stakeholdersExcellent decision-making under ambiguity and time constraintsLeadership and mentoring mindset with a deep understanding of software engineering best practicesWhy NStarX? :
At NStarX, youll work at the forefront of applied AI and GenAI, influencing real-world applications in healthcare, finance, retail, and more. Our environment is tech-first, collaborative, and performance-drivenwith continuous learning at its core.
What We Offer :
Competitive compensation with performance-based growthExposure to enterprise-grade AI programs and LLM developmentA fast-paced, hands-on engineering culture backed by domain experts(ref : hirist.tech)