Application Engineer
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Job Description
Application Engineer designing and building industry solutions on the Seeq platform. Leading pilots and collaboration across teams for process manufacturing sectors.
Responsibilities:
- Author scalable solution components (accelerators, templates, calculators, KPIs, dashboards, workflows) in Seeq Workbench, Organizer, and Data Lab aligned to priority industry use cases and personas.
- Package solutions for reuse with documentation, example datasets, validation plans, and success criteria ready for partner and customer delivery.
- Lead pilots and scale-out projects to validate value, harden solution patterns, and transition to operations with customers and partners.
- Define solution success metrics, value hypotheses, and verification methods; measure and communicate outcomes to stakeholders.
- Connect solutions to enterprise data ecosystems and downstream tools (e.g., OPC UA/OPC HDA; SQL databases, data lakes/warehouses; Databricks; Azure ML; AWS Lambda; Power BI/Tableau) following security, scalability, and performance best practices.
- Partner with Industry Principals, Product Management, and Engineering to align solutions to roadmap, close capability gaps, and influence prioritization.
- Support Product Marketing and Solution Consulting with credible demos, narratives, and GTM assets; assist targeted pre-sales engagements where solution expertise is required.
- Create enablement kits (deployment guides, reference architectures, playbooks) and mentor Seeq partners to scale delivery globally and in local languages.
- Gather field feedback, monitor adoption, and iterate on solution quality, usability, and learnability; contribute patterns into Seeq’s solution library and training content.
Requirements:
- **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) and working with Python and SQL for solution logic, automation, and packaging.
- **Customer-facing delivery experience** leading pilots/POCs to production; strong value articulation, scope management, and cross-functional alignment.
- **Education:** Bachelor’s degree (or higher) in Chemical, Mechanical, Electrical, Industrial, or Systems Engineering, Applied Math, Data Analytics, or related discipline— or equivalent relevant experience.
- **Preferred Qualifications**
- Industry-specific methods such as batch analytics (pharma), reliability analytics, energy/carbon accounting, APC/optimization exposure.
- Familiarity with cloud/data platforms and modern industrial data architectures (Azure/AWS/GCP, Databricks).
- Experience enabling partner ecosystems and creating reusable delivery assets (templates, playbooks, training).
- Strong technical communication across SME, manager, and executive audiences; proven in demos, workshops, and solution storytelling.
Benefits:
- Generous home office allowance
- The best co-workers (we've analyzed the data, so we know it's true.)
- Pet-friendly workspace (your dog will be so happy to have you home)
- You love your job!
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