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Seeq

Time-series analytics platform for manufacturing

Analytics Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in AustraliaA$120k - A$130k

About the Job

Requirements

  • A 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 mathematics will be considered.
  • At least 2 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business or operational technology preferred), or another related industry field.
  • Experience in one or more industrial process manufacturing verticals and a working understanding of broad market drivers and business priorities.
  • Understand the difficulties involved in solving real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, business intelligence tools, or otherwise.
  • Be adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams.
  • Communicate technical information effectively and influentially; dissect, articulate, and translate customer-stated and customer-implied needs; and communicate with subject matter experts and managers.
  • Consult on technical solutions leveraging the latest features and capabilities in the software and broader technology landscape.
  • Independently prioritize work based on account team strategy, customer business needs, and company objectives.

Responsibilities

  • Serve as the customer's trusted technical advisor by building relationships with champions and end users through solution reviews, implementation guidance, and technical mentorship.
  • Use customer relationships to identify high-value, high-impact use case opportunities linked to critical business workflows and objectives.
  • Collaborate with customers and the account team to develop and execute strategic plans for adopting the software and completing key use cases addressing business objectives.
  • Advise customer champions and end users on implementing and operationalizing use cases to deliver a high return on investment.
  • Maintain product expertise, including knowledge of how to implement and troubleshoot platform solutions.
  • Identify gaps in product capabilities required to meet customer needs and provide feedback to the product organization to influence the product roadmap.
  • Work with the product team to implement and test new functionalities that meet customer needs.
  • Build customer trust through industry-specific knowledge and awareness, including market and use case trends in their area.
  • Collaborate with internal teams, including industry principals, product marketing, and solution consulting, to influence industry-specific strategy.

Desired Qualifications

  • Programming experience in Python or other programming languages is a plus.
  • Prior experience using Seeq is a plus.
  • Broad knowledge of the SaaS industrial analytics ecosystem, such as Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, or Palantir, is a plus.
  • Technical pre-sales engineering experience in a SaaS business or operational technology space is preferred.

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

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