Seeq is seeking an Application Engineer to design, build, and deliver repeatable, high-impact industry solutions on our platform. Your work will accelerate time-to-value for customers in process manufacturing industries like Oil & Gas, Chemicals, Pharmaceuticals, and Power.
What You'll Do
- Author scalable solution components—accelerators, templates, calculators, KPIs, dashboards, and workflows—in Seeq Workbench, Organizer, and Data Lab.
- Package solutions for reuse with documentation, example datasets, validation plans, and success criteria.
- Lead pilots and scale-out projects to validate value, harden solution patterns, and transition to operations with customers and partners.
- Define solution success metrics and value hypotheses; measure and communicate outcomes to stakeholders.
- Connect solutions to enterprise data ecosystems and downstream tools like SQL databases, data lakes, Databricks, Azure ML, AWS Lambda, Power BI, and Tableau.
- Partner with Industry Principals, Product Management, and Engineering to align solutions to the roadmap and influence prioritization.
- Support Product Marketing and Solution Consulting with credible demos, narratives, and go-to-market assets.
- Create enablement kits and mentor Seeq partners to scale delivery globally and in local languages.
- Gather field feedback and iterate on solution quality, usability, and learnability.
What We're Looking For
- Process manufacturing experience in Oil & Gas, Chemicals, Pharma, Power, or related industries.
- Ability to translate operational objectives into analytics-driven workflows.
- Time series analytics proficiency, including feature engineering, event detection, asset segmentation, anomaly logic, and KPI design.
- Hands-on experience with historian and OT data platforms such as AVEVA PI, IP.21, DeltaV, Wonderware, or GE Proficy.
- Proven skills in creating solutions within Seeq (Workbench/Organizer/Data Lab).
- Experience working with Python and SQL for solution logic, automation, and packaging.
- Customer-facing delivery experience leading pilots and proofs-of-concept to production.
- Strong value articulation, scope management, and cross-functional alignment skills.
- Bachelor’s degree (or higher) in Chemical, Mechanical, Electrical, Industrial, or Systems Engineering, Applied Math, Data Analytics, or a related discipline—or equivalent relevant experience.
Nice to Have
- Industry-specific methods such as batch analytics (pharma), reliability analytics, energy/carbon accounting, or 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 like templates, playbooks, and training.
- Strong technical communication across subject matter expert, manager, and executive audiences.
- Proven experience in demos, workshops, and solution storytelling.
Technical Stack
- Seeq Workbench, Seeq Organizer, Seeq Data Lab
- Python, SQL
- OPC UA/OPC HDA
- SQL databases, data lakes/warehouses, Databricks
- Azure ML, AWS Lambda
- Power BI, Tableau
Team & Environment
You will collaborate closely with Industry Principals, Product Management, Engineering, Product Marketing, and Solution Consulting.
Benefits & Compensation
- Base salary: $160,000 USD
- Competitive salary plus bonus incentives
- Generous home office allowance
- Pet-friendly workspace
Work Mode
This is a global, remote-first role.
Company Culture
We are a remote-first company with a strong culture of collaboration and iteration. Our team is wonderful, kind-hearted, and talented, focused on exceeding customer expectations. Seeq is certified as a great place to work, an emerging startup, part of the Technology Fast 500, and featured in Inc. Magazine's Best Places to Work.
Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
