Scandit

ProgramManager,MLDataOperations

Warsaw, Masovian Voivodeship, Poland Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Program Manager, ML Data Operations at Scandit. Skills: operational quality, quality metrics, annotation frameworks, QC frameworks, real-world performance measurement, operational playbooks, SOPs. Own operational quality within the data team. Establish and maintain a single source of truth on quality metrics for all stakeholders”

What You'll Achieve.

ensure that operational quality is visible and transparent to enable decision-making and a superior customer experience

Industry & Context.

Problems you'll solve

analytical and statistical thinking; balancing rigor with speed and practical constraints

What They're Looking For.

Must Have

5+ years of experience in a quality role on production-grade deployment, analytical and statistical thinking, Proven experience designing and improving end-to-end workflows and SOPs, Hands-on, detail-oriented working style and willingness to dive into concrete data, images, and human annotations, Excellent written and verbal communication skills, including explaining quality concepts to non-experts, Proven track record of influencing without formal authority in cross-functional, multi-stakeholder environments, High comfort with ambiguity, evolving products, and balancing rigor with speed and practical constraints

Nice to Have

Experience working with annotation vendors, BPOs, or freelance workforces, Familiarity with computer vision or ML data pipelines

What You'll Do.

Own operational quality within the data team

Establish and maintain a single source of truth on quality metrics for all stakeholders

Design and maintain annotation and QC frameworks

including failure categories and review processes

Establish a real-world performance measurement

balancing accuracy and resources

Monitor and document the performance of external suppliers and contractors

Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective

and customer success with clear quality narratives

explain quality implications of decisions

How You'll Work.

Team & Collaboration

Embedded in the Data Team and working closely with product managers and engineering; influencing without formal authority in cross-functional, multi-stakeholder environments; Support product, operations, engineering, and customer success

Communication Scope

Excellent written and verbal communication skills; explaining quality concepts to non-experts; clear quality narratives; explain quality implications of decisions

Process & Methodology

Program Manager, Design and maintain annotation and QC frameworks, Establish a real-world performance measurement, Create and evolve operational playbooks and SOPs

Full Job Description

Program Manager, ML Data Operations Scandit POLAND Imagine the What. Build the How. Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, and innovate, and help take Scandit to the next level. About the role As a Program Manager, ML Data Operations, you will be the steward of the operational quality that enables the reliability and performance of our advanced visual intelligence products. Embedded in the Data Team and working closely with product managers and engineering, you’ll shape how we build and execute operational processes, annotation work, and quality measurements of the real-world product performance. Your work will ensure that operational quality is visible and transparent to enable decision-making and a superior customer experience. What you will do Own operational quality within the data team Establish and maintain a single source of truth on quality metrics for all stakeholders Design and maintain annotation and QC frameworks, including failure categories and review processes Establish a real-world performance measurement, balancing accuracy and resources Monitor and document the performance of external suppliers and contractors Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective Support product, operations, engineering, and customer success with clear quality narratives, explain quality implications of decisions, and trade-offs Who we look for 5+ years of experience in a quality role on production-grade deployment Strong analytical and statistical thinking Proven experience designing and improving end-to-end workflows and SOPs Hands-on, detail-oriented working style and willingness to dive into concrete data

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