Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship.
Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives.
Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives.
Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer’s high-value use case.
Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages.
Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems.
Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap.
Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy.

Requirements

Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered.
Minimum of 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT 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, such as Excel, MATLAB, Python, BI tools, or otherwise.
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.
Programming experience in Python and/or other programming languages is a plus.
Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives.
Prior experience using Seeq is highly preferred.
Broad knowledge of the SaaS industrial analytics ecosystem is a plus.

Benefits

Competitive salary plus bonus incentives
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
Pet-friendly workspace

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

process engineeringreliability engineeringtechnical pre-sales engineeringdata analyticsPythonMATLABExcelBI toolstechnical solution developmentanalytics tools

Soft Skills

building trustrapport buildingeffective communicationinfluential communicationcreativityindependent prioritizationcustomer empathycollaborationmentorshipstrategic planning

Certifications

Bachelor's degree in engineeringequivalent experience