Skiffra

United States
3 Total Employees
2 Product + Tech Employees
Year Founded: 2025

Jobs at Skiffra

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Recently posted jobs

10 Days AgoSaved
Remote or Hybrid
Québec, QC, CAN
Artificial Intelligence • Machine Learning • Business Intelligence • Financial Services • Big Data Analytics • Manufacturing
Maps end-to-end operational processes, analyzes integrations and data governance, translates business needs into system requirements, and builds dashboards, data pipelines, or workflow tools using SQL, Python, and BI or low-code platforms. The role includes client-site workshops, process ownership, user training, documentation, and collaboration with IT, engineering, and product teams. Fluent French, working English, Montreal-based work, and regular travel are required.
21 Days AgoSaved
Hybrid
Los Angeles, CA, USA
Artificial Intelligence • Machine Learning • Business Intelligence • Financial Services • Big Data Analytics • Manufacturing
Lead product design for field software used by workers in mining and other physically demanding environments. Build a scalable design system, create glove-friendly and high-visibility mobile experiences, prototype offline and gesture-based workflows, conduct on-site research, and establish design standards as the founding field-product designer. Collaborate with product, engineering, delivery teams, and client stakeholders in a hybrid Los Angeles or San Francisco Bay Area setting.
One Month AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Business Intelligence • Financial Services • Big Data Analytics • Manufacturing
As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.
One Month AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Business Intelligence • Financial Services • Big Data Analytics • Manufacturing
Work on-site with customers to translate operational problems into deployed Skiffra platform solutions: design integrations, configure data and workflows, validate outcomes, diagnose issues, and translate field evidence into product requirements and repeatable deployment playbooks.