Application Engineer

Process manufacturing experience in O&G, Chemicals, Pharma, Power, or related industries. Ability to translate operational objectives into analytics-driven workflows. Time series analytics proficiency, including feature engineering, event/condition detection, asset segmentation, anomaly/quality logic, and KPI design. Historian and OT data experience with platforms such as AVEVA PI, IP.21, DeltaV, Wonderware, or GE Proficy. Hands-on Seeq and data skills, including creating solutions in Seeq (Workbench/Organizer/Data Lab). Working with Python and SQL for solution logic, automation, and packaging. Customer-facing delivery experience leading pilots/POCs to production. Bachelor’s degree (or higher) in Chemical, Mechanical, Electrical, Industrial, or Systems Engineering, Applied Math, Data Analytics, or related discipline— or equivalent relevant experience. Familiarity with cloud/data platforms and modern industrial data architectures (Azure/AWS/GCP, Databricks). Strong technical communication across SME, manager, and executive audiences.

Design and build scalable solution components in Seeq Workbench, Organizer, and Data Lab. Package solutions for reuse with documentation and example datasets. Lead pilots and scale-out projects to validate value and transition to operations. Integrate solutions with enterprise data ecosystems and downstream tools. Collaborate with Industry Principals, Product Management, and Engineering. Support Product Marketing and Solution Consulting with demos and GTM assets. Create enablement kits and mentor Seeq partners. Gather field feedback and iterate on solution quality.