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Seeq Corporation · 1 day ago

Application Engineer

United States

Full-time

Remote

Mid Level

$160K/yr - $160K/yr

Seeq Corporation is a remote-first company that specializes in advanced analytics software for industrial process data. The Application Engineer is responsible for designing, building, and delivering industry solutions on the Seeq platform to enhance value for process manufacturers, while also collaborating cross-functionally and enabling customers and partners.

AnalyticsCommercialIndustrialInternet of ThingsSoftware

Comp. & Benefits

No H1B

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

Qualification

Process manufacturing experienceTime series analyticsHands-on Seeq skillsPythonSQLCloud/data platformsCustomer-facing deliveryTechnical communicationCollaboration

Required

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