S

Seeq

Time-series analytics platform for manufacturing

Senior Analytics Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree or equivalent experience in a technical field such as chemical, mechanical, electrical, or industrial engineering; operations research, data analytics, or applied mathematics degrees are also considered.
  • At least 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (preferably in SaaS or the operational technology space), or related industry fields.
  • Deep technical expertise in at least one industrial process manufacturing vertical and a sound understanding of broad market drivers and business priorities.
  • Experience addressing real-world business and industrial challenges involving dense time-series process data and inadequate or overly complex analytics tools such as Excel, MATLAB, Python, or business intelligence tools.
  • Ability to build trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams.
  • Ability to communicate technical concepts effectively and translate customer-stated and implied needs for subject matter experts, managers, directors, and C-level audiences.
  • Ability to develop and propose technical solutions using software features and the broader technology landscape.
  • Ability to independently prioritize work based on account team strategy, customer business needs, and company objectives.

Responsibilities

  • 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, resolving issues with Product, Engineering, and customer-facing teams.
  • Build relationships with customer champions and end users by providing solution design, implementation guidance, and technical mentorship.
  • Conduct ongoing discovery with customers to uncover high-value use cases connected to critical business workflows and objectives.
  • Collaborate with customers and account teams to develop and execute strategic adoption plans and complete key use cases that address business objectives.
  • Advise customer champions and end users on implementing and operationalizing use cases to deliver customer return on investment; provide hands-on delivery when needed to accelerate high-value use cases.
  • Upskill Seeq’s partner ecosystem to extend Analytics Engineering team support globally and in localized languages.
  • Maintain expertise in implementing and troubleshooting platform solutions, including integrations with other systems.
  • Identify capability gaps affecting customer needs and provide feedback to the product organization to influence the product roadmap.
  • Assess and position Seeq’s benefits relative to competitive products and customer ecosystem offerings.
  • Work with the product team to design, implement, and test new functionalities that meet customer needs.
  • Apply industry-specific knowledge and awareness, including market and use case trends, to build trust with customers.
  • Collaborate with internal teams, including industry principals, product marketing, and solution consulting, to influence industry-specific strategy.

Desired Qualifications

  • Experience in one or more of the following industries: power generation or transmission, pharmaceuticals or life sciences, or semiconductors.
  • Prior experience using Seeq.
  • Python programming skills or experience with other programming languages.
  • Broad knowledge of the SaaS industrial analytics ecosystem, including platforms and products such as Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, and Palantir.

About the Company

Seeq

Time-series analytics platform for manufacturing

Seeq provides a data analytics platform focused on time series data for manufacturing. It processes large streams of operational data and, using machine learning and artificial intelligence, converts them into actionable insights in near real-time, reducing data analysis from months to days. The platform is designed to be user-friendly and accessible to a wide range of roles within a company, with industry-specific, tailored solutions and a subscription-based access model. A recent Databricks partnership signals a commitment to accelerating data convergence across enterprises, further enhancing the service. Seeq differentiates itself by specializing in time series analytics for manufacturing, offering broad role accessibility, and industry-tailored solutions, rather than generic analytics tools. Its goal is to help businesses operate more efficiently, increase profitability, and improve sustainability by turning vast time series data into timely, clear insights.

Company size
201-500
Company stage
Series D
Total funding
$255.8M
Headquarters
Seattle, WA
Founded
2013

Recently Posted Jobs

Explore more opportunities at Seeq

See more jobs