Project Manager

Symphony Industrial AI, Inc.; Polska; Hybrid; PLN 306,000 - 480,000; Full time

Job summary

SymphonyAI Industrial is seeking an experienced Project Manager to lead software implementations and customer engagements for an AI-driven data operations platform serving global manufacturing customers. This is a delivery ownership role focused on ensuring the solution reaches the customer with the expected quality and measurable value.

You will coordinate cross-functional and global delivery teams, manage scope, schedule, budget, and quality, identify risks early, and build trusted

Qualifications

• 7+ years of project management or implementation leadership experience in enterprise software, data platforms, analytics, AI, or a comparable technical environment.
• Demonstrated ownership of complex, customer-facing implementations involving distributed teams and multiple business and technical stakeholders.
• Strong judgment, initiative, communication, and customer-management skills, with the confidence to challenge assumptions and address performance or quality concerns.

Responsibilities

• Delivery leadership: plan and manage work from discovery through implementation, validation, adoption, and transition.
• Solution quality: stay close to the product and use cases, inspect progress, test capabilities, and verify readiness.
• Proactive risk management: identify issues, dependencies, and delivery risks early; drive mitigation and escalation when needed.
• Delivery control and visibility: maintain clear, fact-based views of status, milestones, dependencies, risks, actions, and decisions through sessions, reviews, and customer feedback.
• Customer leadership: build trusted relationships, align stakeholders, demonstrate value, and identify opportunities to continue or expand the engagement.
• Standards and adaptive execution: follow established implementation standards and practices while tailoring delivery across pilots, implementations, and value-acceleration engagements.
• AI-enabled efficiency and knowledge sharing: use AI tools to improve delivery efficiency, planning, analysis, documentation, and communication.

Skills

Delivery leadership

Solution quality

Risk management

Delivery visibility

Customer leadership

Standards & execution

AI-enabled efficiency

Job description

Introduction

About SymphonyAI:

SymphonyAI Industrial is a leader in AI-driven solutions designed to enhance the health, reliability, and operational performance of industrial assets and processes. Our innovative IRIS platform integrates Predictive AI, Generative AI, and Agentic AI to provide real-time insights, predictive intelligence, and prescriptive recommendations for asset-intensive industries. We are seeking an experienced Lead AI Delivery Engineer to ensure the successful implementation of these solutions for industrial customers on a global scale.

Job Description

About the Role

We are seeking an experienced Project Manager to lead software implementations and customer engagements for an AI-driven data operations platform serving global manufacturing customers. This is a delivery ownership role: you will be accountable for the solution reaching the customer with the expected quality, delivering measurable value, and creating the foundation for a lasting and expanding customer relationship.

What You Will Own

• Delivery leadership. Plan and manage work activities from discovery through implementation, validation, adoption, and transition. Coordinate cross-functional and global delivery teams while maintaining accountability for scope, schedule, budget, quality, outcomes, and customer perception.
• Solution quality. Stay close to the product and use cases, directly inspect progress, test critical capabilities, and verify readiness before functionality reaches the customer.
• Proactive risk management. Identify issues, dependencies, and delivery risks early; drive mitigation and escalation decisively when support or decisions are needed.
• Delivery control and visibility. Maintain clear, fact-based views of status, milestones, dependencies, risks, actions, and decisions through working sessions, demonstrations, solution reviews, and customer feedback rather than relying solely on project-team reporting.
• Customer leadership. Build trusted relationships, navigate difficult conversations, align business and technical stakeholders, demonstrate value, and identify opportunities to continue or expand the engagement.
• Standards and adaptive execution. Follow established implementation standards and practices while tailoring the delivery approach across pilots, implementations, and value-acceleration engagements.
• AI-enabled efficiency and knowledge sharing. Use AI tools to improve delivery efficiency, planning, analysis, documentation, and communication, and share effective practices and reusable knowledge with team members.

What Success Looks Like

• Customers receive reliable, well-validated solutions and have confidence in the delivery team.
• Risks and quality concerns are surfaced early, owned through resolution, and rarely become customer or leadership surprises.
• Teams remain aligned on priorities, decisions, outcomes, and the evidence behind reported progress.
• Engagements prove business value and strengthen the opportunity for adoption, renewal, and expansion.

Qualifications

• 7+ years of project management or implementation leadership experience in enterprise software, data platforms, analytics, AI, or a comparable technical environment.
• Demonstrated ownership of complex, customer-facing implementations involving distributed teams and multiple business and technical stakeholders.
• Strong judgment, initiative, communication, and customer-management skills, with the confidence to challenge assumptions and address performance or quality concerns.
• Sufficient technical curiosity and hands‑on orientation to understand solution behavior, review demonstrations, validate delivery evidence, and ask precise questions.
• Manufacturing, industrial software, data operations, AI, or advanced analytics experience is preferred.

Working Model

This role is remote within Europe and requires up to 25% travel. Because our customers and delivery teams operate globally, the Project Manager must be willing to join early-morning, evening, or weekend calls as needed to ensure successful project delivery and positive client engagement.

About Us

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.