
51 - 200 employees
🤖 Artificial Intelligence
🏭 Manufacturing
Artificial Intelligence • Manufacturing
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. The company specializes in data analytics software for various industrial markets, including oil refineries, pharmaceuticals, and energy production. Seeq's tools are designed to handle extensive manipulation of time-series data, events, and signals to provide insights and analytics, making it easier for manufacturing organizations to optimize processes and enhance predictive maintenance. Founded in 2013 and based in Seattle, Seeq leverages a team of experienced professionals from notable companies such as OSIsoft, Honeywell, and Microsoft.
🕒 April 8
🇺🇸 United States – Remote
💵 $115k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 45%
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51 - 200 employees
🤖 Artificial Intelligence
🏭 Manufacturing
Artificial Intelligence • Manufacturing
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. The company specializes in data analytics software for various industrial markets, including oil refineries, pharmaceuticals, and energy production. Seeq's tools are designed to handle extensive manipulation of time-series data, events, and signals to provide insights and analytics, making it easier for manufacturing organizations to optimize processes and enhance predictive maintenance. Founded in 2013 and based in Seattle, Seeq leverages a team of experienced professionals from notable companies such as OSIsoft, Honeywell, and Microsoft.
• Design and deploy account-level Slack summaries for CSMs and leadership • Translate product usage and contract data into operational signals • Build or extend data pipelines in partnership with Analytics Engineering • Develop Python-based automation to operationalize insights at scale • Contribute to Seeq’s customer health scoring framework • Develop usage-to-renewal correlation models • Identify leading indicators of risk, expansion, and adoption • Iterate based on measurable predictive lift and Customer Success feedback • Leverage AI-first coding workflows to accelerate development • Build lightweight LLM-driven synthesis workflows where valuable • Help elevate development practices across Customer Success • Work directly with CSMs to understand real decision workflows • Collaborate with Analytics Engineers on modeling and data structure • Feed product insights back into engineering through internal dogfooding
• Bachelor’s degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or related field • 0–3 years of experience (internships included) in analytics, engineering, or technical roles • Working knowledge of SQL • Strong Python skills • Exposure to data modeling concepts • Familiarity with LLMs or AI-assisted development tools • Comfort operating in ambiguity • Strong written communication skills • Background in process manufacturing or industrial engineering (preferred) • Exposure to BI tools such as PowerBI (preferred) • Familiarity with product analytics platforms such as Mixpanel (preferred) • Experience building Slack automations or APIs (preferred) • Exposure to modern data pipelines such as Azure Data Factory (preferred) • Demonstrated curiosity about customer behavior and causal mechanisms (preferred) • Must be authorized to work in the country in which you reside • Seeq does not sponsor US F1 or H-1B work visas
• Competitive salary plus bonus incentives • $115,000 USD base salary plus variable • 12-week paid Seeq family leave • Unlimited PTO • Internet and mobile phone reimbursements • Medical benefits • Group term life insurance • Short-term and long-term disability insurance pre-tax benefits • Voluntary vision and dental (ortho) • Vacation bonus program • Employee Assistance Program • Generous home office allowance • Remote-first (only) work environment
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