As a Technical Program Manager (TPM), you will own end-to-end delivery of complex SaaS / Data / GenAI programs, ensuring alignment between business goals, architecture and execution.

This is not a coordination role - you are expected to bring technical depth, strong execution rigor and ownership to drive high-quality, scalable, production-ready systems.

Key Responsibilities:

- Own end-to-end delivery of SaaS / GenAI / Data programs (scope, estimation, timelines, quality and business outcomes)

- Translate ambiguous customer requirements into clear user stories, execution plans and aligned architecture direction

- Drive execution across backend (Node.js) and frontend (React) ensuring scalable, reliable, event-driven, production-ready systems

- Participate in architecture discussions, validate design decisions and drive technical trade-offs with engineering teams

- Drive adoption of modern engineering practices (microservices, event-driven, data engineering), CI/CD, DevOps and cloud architecture (AWS/Azure/GCP)

- Ensure strong observability (logging, monitoring, tracing) and promote shift-left practices (testing, security, code quality, automation) along with AI-assisted development (Copilot, Claude)

- Validate estimates, plan, capacity and mentor teams on Agile and engineering best practices and support solutioning and pre-sales efforts

- Establish strong delivery governance including sprint planning, tracking, release management and continuous improvement

- Define and enforce Definition of Done, Definition of Ready, release governance and quality gates

- Track delivery health metrics (velocity, predictability, defects, cycle time, lead time) and drive data-driven decisions

- Identify and mitigate delivery, technical and resourcing risks proactively

- Manage cross-team dependencies and unblock teams to ensure smooth execution

- Act as primary customer interface; manage expectations, communication, escalations and align delivery with business outcomes

- Provide regular program updates, insights and risk visibility to stakeholders

- Identify opportunities for optimization, automation and account expansion

- Highly resourceful, with the ability to manage resourcing effectively and plan projects from scratch

Requirements:

- BE/MS in Computer Science or related field with 8+ years of experience in engineering and program delivery

- Well-grounded understanding of backend systems, APIs, and microservices architecture (Node.js preferred)

- Working knowledge of frontend (React) and modern web/mobile architectures

- Practical exposure to cloud platforms (AWS / Azure / GCP), including deployment, scaling, and system design basics

- Working understanding of system design principles, including scalability, reliability, fault tolerance, and performance optimization

- Experience with CI/CD pipelines, DevOps practices and production system management

- Strong exposure to Agile/Scrum delivery, estimation techniques and program execution

- Proven ability to work closely with engineering teams and participate in architecture and technical discussions

- Experience working with global customers (US/EU) in a client-facing role

- Experience using AI tools (Copilot, Claude, etc.) for development productivity and engineering acceleration

- Strong analytical thinking and structured problem-solving ability

- Excellent written and verbal communication across engineering, business and customer stakeholders

- High ownership, reliability and execution focus; ability to deliver in ambiguous and fast-paced environments

- Ability to manage multiple workstreams, dependencies and stakeholders effectively

- Strong attention to detail while maintaining a clear, big-picture perspective

Good to have skills:

- Hands-on multi stack experience across enterprise Java & Python and/or Golang, Rust is a big plus

- Hands-on experience with AWS/GCP/Azure services, scaling strategies, cost optimization and cloud-native architectures

- Ability to evaluate and guide system architecture, including microservices, event-driven systems and distributed design patterns

- Experience with data platforms (ETL, Databricks, distributed systems) and modern data architectures is a strong plus

- Apply understanding of performance optimization (caching, bottlenecks) and basic security best practices

- Drive execution across mobile (React Native) and data platforms.

- Experience in designing high-scale, fault-tolerant and performant systems with clear trade-off analysis

- Familiarity with data platforms (Databricks, lakehouse architectures) and basic understanding of GenAI / LLMuse cases (RAG, copilots)

- Exposure to infrastructure as code, monitoring, alerting, incident management and reliability engineering