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Salary: EUR 111,000 - 129,000 / annual
Seeq builds advanced analytics software that unlocks insights from industrial process data, empowering companies in pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company, we collaborate across time zones in a supportive, agile environment.
In this role, you will serve as a trusted technical advisor to customers, helping them solve complex process challenges and maximize value from our platform. You'll work directly with end users to design scalable, high-impact analytics solutions that drive adoption and tangible business outcomes.
Key responsibilities include:
**Customer Technical Adoption:** Build relationships with customer champions and end-users through solution design, implementation guidance, and technical mentorship. Perform discovery to uncover high-value use cases aligned with customers' critical business workflows. Collaborate with account teams to develop strategic adoption plans and operationalize solutions for strong ROI. Upskill Seeq's partner ecosystem to provide global support in localized languages.
**Product Expertise:** Maintain deep knowledge of platform implementation and troubleshooting, including system integrations. Identify capability gaps and provide feedback to influence the product roadmap. Assess and position Seeq's benefits relative to competitive solutions. Collaborate with the product team to design, implement, and test new functionalities.
**Industry Expertise:** Build trust through application of industry-specific knowledge and awareness of market trends. Collaborate with internal teams (industry principals, product marketing, solution consulting) to influence industry-specific strategy.
**Requirements:**
- Bachelor's degree in a technical field (chemical, mechanical, electrical, industrial engineering; operations research, data analytics, or applied math also considered)
- Minimum 5–7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS/OT preferred), or related industry fields
- Deep technical expertise in one or more industrial process manufacturing verticals (chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc.)
- Sound understanding of broad market drivers and business priorities
- Empathy with and experience solving real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools (Excel, MATLAB, Python, BI tools)
- Responsive and adept at building trust and rapport with customers, partners, and internal multidisciplinary teams
- Effective technical communicator; able to articulate and translate customer needs to subject matter experts, managers, directors, and C-level audiences
- Creative ability to develop technical solutions leveraging latest software features and broader technology landscape
- Ability to independently prioritize work based on account strategy, customer needs, and company objectives
- Prior experience using Seeq highly preferred
- Python programming skills a plus
- Broad knowledge of SaaS industrial analytics ecosystem a plus (Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.)
