SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 software. You'll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes.
Key responsibilities include:
**Customer Technical Adoption**
- Build relationships with customer champions and end-users through solution reviews, implementation guidance, and technical mentorship
- Uncover high-value use case opportunities directly linked to customers' critical business workflows and objectives
- Collaborate with customers and account teams to develop and execute strategic adoption plans for Seeq
- Advise on implementation and operationalization of use cases to deliver strong ROI
**Product Expertise**
- Maintain deep knowledge of how to implement and troubleshoot solutions in the platform
- Identify capability gaps and provide feedback to influence the product roadmap
- Work with the product team to 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) on industry-specific strategy
You'll be a key customer-facing team member who independently prioritizes work based on account strategy, customer needs, and company objectives.
**Requirements**
- Bachelor's degree (or equivalent experience) in a technical field: chemical, mechanical, electrical, or industrial engineering; operations research, data analytics, or applied math also considered
- Minimum 2 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS/OT space preferred), or related industry fields
- Experience in one or more industrial process manufacturing verticals (oil & gas, chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc.) with working understanding of market drivers and business priorities
- Understanding of real-world challenges in solving business and industrial problems 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 who can dissect, articulate, and translate customer needs; able to communicate with subject matter experts and managers
- Ability to consult on technical solutions leveraging latest features and broader technology landscape
- Ability to independently prioritize work based on account strategy, customer needs, and company objectives
Plus factors: prior Seeq experience, Python programming skills, broad knowledge of SaaS industrial analytics ecosystem (Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.)
