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Salary: USD 145,000 - 0 / 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. The company is remote-first since founding.
As a Senior Analytics Engineer, you will serve as a trusted technical advisor to customers, helping them solve complex process challenges and maximize value from Seeq's 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:
**Senior Technical Leadership & Delivery**
- Lead end-to-end technical delivery for complex, multi-phase, or significantly customized customer engagements, translating ambiguous business requirements into scalable analytics architectures.
- Mentor and review the work of less-experienced Analytics Engineers and shape reusable patterns, templates, and tooling.
- Serve as a senior escalation point for complex technical, integration, and solution-design challenges, driving issues to resolution in partnership with Product, Engineering, and customer-facing teams.
**Customer Technical Adoption**
- 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 use cases to deliver high return on investment. 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.
**Product Expertise**
- Maintain 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.
- Assess and position Seeq's benefits relative to competitive products in the marketplace or in the customer's ecosystem.
- Work with the product team to design, implement, and test new functionalities that meet customer needs.
**Industry Expertise**
- Apply deep expertise in one or more of the following industries: Power Generation/Transmission, Pharma/Life Sciences, or Semiconductor.
- Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area.
- 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. Examples of industrial process industries include oil & gas, chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc.
- 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. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences.
- 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.).
