Senior Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software.
Requirements
- Bachelor's degree (or equivalent experience) in a technical field such as pharmaceutical, chemical, mechanical, electrical, or industrial engineering;
- Minimum of 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, Operational Technology, Pharma space preferred), or other related industry fields;
- Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities;
- Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools;
- Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams;
- Effective and influential technical communicator.
- Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape.
- Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives.
- Prior experience using Seeq is highly preferred.
- Python programming skills is a plus.
- Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.).
Benefits
- Competitive salary plus equity incentives
- $140,000 USD base salary
- Internet and mobile phone reimbursements
- Generous home office allowance
- Pet-friendly workspace
