Roles & Responsibilities:

As a Technical Project Manager (TPM), you will own end-to-end delivery of medium to 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 successful end-to-end delivery from customer discovery through production go-live and hypercare, balancing scope, quality, schedule, commercial objectives, and customer satisfaction.
- Own discovery workshops with customers and drive requirement clarification. Translate ambiguous customer requirements into clear user stories, execution plans, and aligned technical direction.
- Manage change requests throughout the project lifecycle while ensuring scope control and stakeholder alignment.
- Establish strong delivery governance, including sprint planning, tracking, release management, Definition of Ready (DoR), Definition of Done (DoD), quality gates, and continuous improvement.
- Validate estimates, capacity plans, and project schedules to ensure realistic execution plans and optimal resource utilization.
- Constantly evaluate scope vs. utilization and drive data-driven decisions to maximize delivery efficiency.
- Identify and proactively mitigate delivery, technical, resourcing, and commercial risks.
- Manage cross-team dependencies, remove blockers, and ensure smooth execution across engineering teams.
- Act as the primary customer interface, managing expectations, communication, escalations,



and aligning delivery with business outcomes.
- Provide regular project and program status updates, delivery insights, and risk visibility to customers and leadership.
- Participate in architecture discussions, validate high-level design decisions, and facilitate technical trade-offs with engineering teams.
- Drive execution across backend, frontend, mobile, and data engineering teams while ensuring scalable, reliable, and production-ready solutions.
- Demonstrate a working knowledge of modern engineering practices, including microservices, event-driven architectures, CI/CD, DevOps, cloud platforms (AWS/Azure/GCP), and AI-assisted software development.
- Promote engineering excellence by encouraging observability (logging, monitoring, tracing), shift-left practices (testing, security, automation), and AI-assisted development.
- Monitor engineering and delivery metrics, including sprint predictability, release quality, production stability, defect trends, and customer satisfaction, to drive continuous improvement.
- Identify opportunities for delivery optimization, automation, account growth, and support solutioning and pre-sales activities.




- Demonstrate strong resource planning capabilities and effectively build and manage project teams from initiation to successful delivery.

Ideal Candidate:

- Strong Technical Project Manager Profile with hands-on delivery ownership and technical depth.
- 8 years of experience, including 4 years leading cross-functional software product delivery.
- Proven experience delivering software projects from concept through production in a service-delivery environment.
- Solid experience with Agile/Scrum, estimation techniques, release planning, and end-to-end project execution.
- Experience managing multiple workstreams, cross-team dependencies, and stakeholders in fast-paced environments.
- Experience with integrations (REST APIs, IdP, payment gateways, CRM, ERP, POS) and familiarity with CI/CD, cloud (AWS/Azure/GCP).
- Experience working with global customers (US/EU) in a customer-facing delivery role.
- High-level understanding of backend systems, REST APIs, and microservices architecture (Node.js preferred), plus system design principles.
- Experience using AI tools (e.g. Claude, GitHub Copilot) to improve delivery productivity.
- Excellent written and verbal communication skills.
- PMP and/or CSM certification required.
- BE/MS in Computer Science or a related field.
- Preferred: Development background (QA / mobile / web developer), ability to create SRS/RFP, business-analysis capability.
- Preferred Tech: Enterprise backend tech (Java, Python, Go); GenAI concepts (LLMs, RAG, copilots); domain experience in eCommerce, QSR, Conversational AI, or Energy & Utilities.

📌 The Seo Byte - Technical Project Manager - SaaS/Data/GenAI Program (India)
🏢 The SEO Byte
📍 India