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We are seeking a highly experienced Onsite PM / Shadow Product Owner who will act as the Single Point of Contact (SPOC) and delivery leader for a multi-disciplinary product engineering program.

This role requires end-to-end ownership across Product Development Lifecycle (PDLC), leading cross-functional teams including Scrum Masters, Architects, Developers, QA, and Business Analysts, while closely collaborating with customer stakeholders onsite.

The ideal candidate will bridge business vision and engineering execution, acting as a proxy Product Owner, ensuring alignment, prioritization, and successful delivery of complex C++/Qt-based imaging and inspection systems.

A. Onsite Leadership & SPOC Role

Act as the primary onsite interface between customer stakeholders and offshore engineering teams

Own communication, escalation management, and stakeholder alignment

Drive decision-making, prioritization, and program direction

Represent delivery status, risks, roadmap, and milestones to leadership

 

B. Product Ownership (Shadow PO Responsibilities)

Work closely with customer Product Owners to refine vision, roadmap, and backlog

Own and manage product backlog, user stories, and acceptance criteria

Ensure business requirements are clearly translated into technical deliverables [All JDs.pdf]

Drive prioritization based on business value, ROI, and technical feasibility

Lead sprint reviews, demos, and stakeholder feedback loops

Ensure alignment across product, UX, engineering, and QA

 

C. Program & Project Management

Own end-to-end program delivery across multiple Agile teams

Plan and manage scope, schedule, cost, quality, and risks

Track program KPIs: velocity, quality, predictability, release readiness [All JDs.pdf]

Manage cross-team dependencies, risks, and mitigation plans

Ensure timely releases, milestone adherence, and customer commitments

Drive resource planning, capacity management, and budgeting

Implement governance through status reporting, steering committees, and reviews

 

D. Agile Delivery Leadership

Guide Scrum Masters and teams to follow Agile best practices

Oversee Agile ceremonies (planning, stand-ups, retrospectives)

Ensure continuous improvement and delivery excellence

Drive Agile maturity across teams and stakeholders

 

E. Cross-functional Team Leadership

Lead multiple teams including:

Scrum Masters

Architects (AI / Solution)

Developers (C++ / Qt)

QA / Test Engineers

Business Analysts

Ensure seamless collaboration across Dev, QA, Product, and DevOps

Mentor teams, resolve conflicts, and foster a high-performance culture

 

F. Technical Oversight & Governance

Provide high-level technical oversight across:

C++ backend systems

Qt-based UI applications

Database layers (PostgreSQL/MySQL)

Ensure alignment with architecture, scalability, and performance goals

Oversee CI/CD, release pipelines, and DevOps practices

Support integration of AI/ML capabilities into applications

 

G. AI & Innovation Enablement

Drive adoption of AI-enabled SDLC practices (Windsurf, Cursor tools)

Promote AI-driven productivity, automation, and analytics

Support integration of AI/ML, computer vision, and imaging solutions

 

H. Domain & Product Expertise

Provide leadership in:

Healthcare / MedTech imaging systems (digital pathology, diagnostics)

Industrial inspection & materials science systems

Understand image processing, data-intensive systems, and inspection platforms

 

Required Skills & Qualifications

Technical Expertise

Strong understanding of:

C++ application development lifecycle

Qt-based UI systems

Databases (PostgreSQL/MySQL)

Familiarity with:

Azure DevOps (Boards, Pipelines, Backlogs)

Git version control

CI/CD pipelines and DevOps practices

Exposure to:

AI/ML frameworks (TensorFlow, PyTorch)

Image processing / computer vision

Microservices, APIs, cloud platforms (Azure/AWS preferred)

 

Product & Agile Skills

Strong experience in:

Product backlog management

User story creation and refinement

Agile/Scrum methodologies

Ability to translate business needs into technical execution

Experience handling multi-team Agile programs

 

Project Management Competencies

Expertise in:

Program planning and execution

Risk and issue management

Budget and resource planning

Governance and reporting

Experience managing complex, multi-location delivery models

Leadership & Ownership

Stakeholder Management

Strategic Thinking

Strong Communication

Problem Solving & Decision Making

Adaptability & Collaboration

MLOps, AI lifecycle management

Edge AI / on-device inference

Healthcare regulatory exposure

On-time, high-quality product delivery

Customer satisfaction and stakeholder alignment

Agile maturity and team productivity

Business value delivered through product increments

Innovation through AI adoption