We’re looking for an Project Manager to join us coordinating end-to-end customer rollouts: from installation planning to full platform activation. You’ll own timelines, align teams, and make sure customers see value fast and predictably.
Your role
Own projects from “deal won” to “customer live” – installation + onboarding in one motion
Plan and run implementation timelines, milestones and dependencies across install, onboarding, CI and sales
Coordinate on-site work for installation and stream validation with installation/onboarding engineers
Ensure fast data activation: ROIs, virtual sensors, labeling workflows and initial QA are delivered on schedule
Act as main operational contact for customers during rollout, managing expectations and communication
Define and track SLAs (e.g. install → data live → value live) and build reporting on lead times and blockers
Create and maintain playbooks, checklists and templates to standardise how the Hub delivers projects
Drive continuous improvement based on project retrospectives and feedback from customers and internal teams
You are
4–7 years experience in project / implementation management, ideally in B2B SaaS, industrial tech or systems integration
Proven track record running multi-stakeholder technical projects with clear timelines and outcomes
Strong organiser: comfortable managing several parallel rollouts without dropping details
Confident communicator with both technical teams (engineering, CV, platform) and customer stakeholders
Data-driven: you use metrics (lead time, SLA adherence, rework) to spot issues and improve processes
Hands-on, calm under pressure, and biased towards making things “go live” rather than just “in progress”
Nice to have
Experience with industrial installations, OT/IT projects or edge / cloud deployments
Background in ops, consulting, or customer onboarding in a technical product environment
Familiarity with tools like Jira, Asana, or similar for project tracking and reporting
What we offer
A competitive salary & stock options*
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?
Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
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What We Do
AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential. 1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks. 2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing. 3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis. 4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.
