
51 - 200 employees
đ¤ Artificial Intelligence
đ Manufacturing
Artificial Intelligence ⢠Manufacturing
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. The company specializes in data analytics software for various industrial markets, including oil refineries, pharmaceuticals, and energy production. Seeq's tools are designed to handle extensive manipulation of time-series data, events, and signals to provide insights and analytics, making it easier for manufacturing organizations to optimize processes and enhance predictive maintenance. Founded in 2013 and based in Seattle, Seeq leverages a team of experienced professionals from notable companies such as OSIsoft, Honeywell, and Microsoft.
đĽ 0 minutes ago
đşđ¸ United States â Remote
đľ $1.2M - $140k / year
â° Full Time
đ Senior
đŹ UX Researcher
đť Ghost score 0%
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51 - 200 employees
đ¤ Artificial Intelligence
đ Manufacturing
Artificial Intelligence ⢠Manufacturing
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. The company specializes in data analytics software for various industrial markets, including oil refineries, pharmaceuticals, and energy production. Seeq's tools are designed to handle extensive manipulation of time-series data, events, and signals to provide insights and analytics, making it easier for manufacturing organizations to optimize processes and enhance predictive maintenance. Founded in 2013 and based in Seattle, Seeq leverages a team of experienced professionals from notable companies such as OSIsoft, Honeywell, and Microsoft.
⢠Define research strategies for complex, ambiguous product and customer problems. ⢠Partner with Product and Design to identify learning needs before teams commit to a direction. ⢠Frame research questions, hypotheses, participant profiles, methods, timelines, and decision criteria. ⢠Select and combine qualitative and quantitative methods, including interviews, contextual inquiry, workflow observation, ethnographic research, concept testing, usability testing, surveys, product behavior data, and competitive research. ⢠Recruit and engage diverse participants, including customers, prospects, operators, engineers, managers, executives, account executives, and internal subject-matter experts. ⢠Conduct remote and in-person research sessions with customers and users in industrial and technical environments. ⢠Synthesize evidence to identify patterns, unmet needs, root causes, opportunities, and tradeoffs. ⢠Produce research readouts explaining findings, implications, and recommended decisions. ⢠Embed research throughout product discovery and the product development lifecycle. ⢠Influence product strategy, roadmaps, prioritization, terminology, information architecture, workflow design, and release readiness. ⢠Translate customer evidence into problem statements, requirements, acceptance criteria, and testable hypotheses. ⢠Validate concepts, low-fidelity ideas, prototypes, and evolving product experiences. ⢠Continue post-launch learning through usability feedback, customer conversations, product behavior, and other signals. ⢠Balance user needs with business goals, technical constraints, timelines, accessibility, security, permissions, and enterprise-software realities. ⢠Develop understanding of how users analyze data, monitor assets and processes, investigate problems, create and share findings, and collaborate. ⢠Research workflows spanning multiple personas, roles, systems, and expertise levels. ⢠Apply human-centered research to data-heavy, analytics, automation, and AI-enabled experiences. ⢠Evaluate AI-powered experiences for trustworthiness, usefulness, explainability, controllability, and contextual appropriateness. ⢠Establish standards for research planning, recruiting, moderation, synthesis, documentation, and communication. ⢠Maintain an organized body of customer evidence for product decisions. ⢠Improve research-capacity prioritization across product areas and customer needs. ⢠Mentor researchers and help cross-functional teams build sound research habits. ⢠Share methods, findings, patterns, and customer insights to create alignment and momentum. ⢠Identify responsible opportunities for tools and automation while preserving human judgment and research quality. ⢠Contribute to a collaborative UX culture through critique, coaching, thoughtful disagreement, and continuous improvement.
⢠Six or more years of professional experience in UX research, user research, human factors, or a related discipline, or equivalent depth of experience. ⢠Demonstrated experience leading research for complex products, workflows, or services with significant ambiguity. ⢠Strong qualitative research skills, including interviewing, contextual inquiry, usability testing, concept testing, moderation, and synthesis. ⢠Ability to use quantitative research, product behavior data, surveys, and analytics. ⢠Experience partnering with Product, Design, and Engineering from discovery through delivery and post-launch learning. ⢠Experience influencing product strategy, roadmap decisions, or prioritization through research and customer evidence. ⢠Strong communication skills for making complex findings clear, concise, compelling, and actionable. ⢠Judgment regarding research quality, participant ethics, confidentiality, accessibility, and appropriate use of customer information. ⢠Experience mentoring others, improving team practices, or creating leverage beyond individual studies. ⢠Ability to work independently, manage multiple priorities, and create structure in ambiguous situations. ⢠Helpful experience in B2B, SaaS, enterprise software, industrial technology, manufacturing, energy, chemicals, life sciences, or technically complex domains. ⢠Helpful experience with data analytics, process analytics, dashboards, visualization, monitoring, or data-heavy products. ⢠Helpful experience researching multi-user workflows, role-based experiences, permissions, governance, or cross-team collaboration. ⢠Helpful experience researching AI or machine-learning-enabled products. ⢠Helpful experience with mixed methods, experimentation, longitudinal research, or product analytics. ⢠Helpful experience establishing research repositories, participant programs, or customer advisory practices. ⢠Formal education in psychology, cognitive science, human-computer interaction, human factors, sociology, anthropology, or a related field is helpful; equivalent practical experience is welcome. ⢠Must be authorized to work in the country in which you reside. ⢠Seeq does not sponsor US F1 or H-1B work visas.
⢠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 ⢠Remote-first (only) work environment ⢠Bonus incentives
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