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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

time series analyticsfeature engineeringevent detectioncondition detectionasset segmentationanomaly logicKPI designPythonSQLsolution packaging

Soft skills

customer-facing deliveryvalue articulationscope managementcross-functional alignmenttechnical communicationmentoringsolution storytelling