As a UX Researcher at Seeq, you’ll join our UX team and collaborate with fellow UX researchers,
designers, product managers, engineers, and customer-facing teams to ensure we are solving the right
problems for the people who use our products. You’ll conduct impactful research, contribute to our
team’s research practice, and influence product decisions across our portfolio.
Lead research strategy and execution
• Define research strategies for complex, ambiguous product and customer problems.
• Partner with Product and Design to identify what must be learned before a team commits to a
direction.
• Frame research questions, hypotheses, participant profiles, methods, timelines, and decision
criteria.
• Select and combine the right qualitative and quantitative approaches, including customer
interviews, contextual inquiry, workflow observation, ethnographic research, concept testing,
usability testing, surveys, product behavior data, and competitive research.
• Recruit and engage a broad range of participants, including customers, prospects, operators,
engineers, managers, executives, Account Executives, and internal subject matter experts.
• Conduct research directly, including remote and in person sessions with customers and users in
industrial and technical environments.
• Synthesize evidence across sessions and data sources to identify patterns, unmet needs, root
causes, opportunities, and tradeoffs.
• Produce clear research readouts that help stakeholders understand what we learned, what it
means, and what decision should follow.
Influence product direction
• Embed research in product discovery and throughout the product development lifecycle, not
only at the end of delivery.
• Influence product strategy, roadmap decisions, prioritization, terminology, information
architecture, workflow design, and release readiness.
• Help Product, Design, and Engineering turn customer evidence into clear problem statements,
requirements, acceptance criteria, and testable hypotheses.
• Validate early concepts, low fidelity ideas, prototypes, and evolving product experiences before
significant engineering investment.
• Continue learning after launch through usability feedback, customer conversations, product
behavior, and other signals.
• Clearly communicate when research challenges an existing request, assumption, or business
direction, and help the team determine what to do next.
• Balance user needs with business goals, technical constraints, delivery timelines, accessibility,
security, permissions, and the realities of enterprise software.
Research complex technical experiences
• Develop a deep understanding of how Seeq users analyze data, monitor assets and processes,
investigate problems, create and share findings, and collaborate with others.
• Research workflows that span multiple personas, roles, systems, and levels of expertise.
• Bring a human centered perspective to data heavy, analytics, automation, and AI enabled
experiences.
• Help teams understand what makes AI powered experiences trustworthy, useful, explainable,
controllable, and appropriate for the user's context.
• Identify opportunities to make complex workflows simpler without removing the flexibility and
depth advanced users need.
Raise the quality and leverage of UX research
• Establish practical standards for research planning, recruiting, moderation, synthesis,
documentation, and communication.
• Build and maintain an organized body of customer evidence that teams can use when making
product decisions.
• Improve how Seeq prioritizes research capacity across product areas and customer needs.
• Mentor researchers and help Product, Design, Engineering, and customer facing teams build
sound research habits without lowering the quality bar.
• Share research methods, findings, patterns, and customer insight in ways that create alignment
and momentum.
• Identify opportunities to use tools and automation responsibly while keeping human judgment,
customer context, and research quality at the center.
• Contribute to a healthy, collaborative UX culture through critique, coaching, thoughtful
disagreement, and continuous improvement.
Requirements
• 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.
• The ability to use quantitative research, product behavior data, surveys, and analytics to
strengthen qualitative findings and support decisions.
• Experience partnering closely 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, including the ability to make complex findings clear, concise,
compelling, and actionable for different audiences.
• Demonstrated judgment about research quality, participant ethics, confidentiality, accessibility,
and appropriate use of customer information.
• Experience mentoring others, improving team practices, or creating leverage beyond your own
studies.
• Comfort working independently, managing multiple priorities, and creating structure where the
path is not yet clear.
Helpful experience
• Research in B2B, SaaS, enterprise software, industrial technology, manufacturing, energy,
chemicals, life sciences, or another technically complex domain.
• Experience with data analytics, process analytics, dashboards, visualization, monitoring, or other
data heavy products.
• Experience researching multi user workflows, role based experiences, permissions, governance,
or collaboration across teams.
• Experience researching AI or machine learning enabled products, including trust, transparency,
explainability, confidence, and human control.
• Experience with mixed methods research, experimentation, longitudinal research, or product
analytics.
• Experience establishing a research repository, participant program, customer advisory practice,
or other repeatable research capability.
• Formal education in psychology, cognitive science, human computer interaction, human factors,
sociology, anthropology, or a related field. Equivalent practical experience is also welcome.
Benefits
Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.
We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.
We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.
The Perks of Working at Seeq
- Base salary $1170,000 - $140,000 plus bonus incentives. Salary will be dependent on leveling.
- Benefits:
- 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
- The best co-workers (we've analyzed the data, so we know it's true.)
- Pet-friendly workspace (your dog will be so happy to have you home)
- You love your job!
Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas
Skills Required
- Six or more years of professional experience in UX research, user research, human factors, or a related discipline, or equivalent depth of experience.
- 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 to strengthen qualitative findings and support decisions.
- 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, including making complex findings clear, concise, compelling, and actionable for different audiences.
- 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.
- Research experience in B2B, SaaS, enterprise software, industrial technology, manufacturing, energy, chemicals, life sciences, or another technically complex domain.
- Experience with data analytics, process analytics, dashboards, visualization, monitoring, or other data-heavy products.
- Experience researching multi-user workflows, role-based experiences, permissions, governance, or team collaboration.
- Experience researching AI or machine-learning-enabled products, including trust, transparency, explainability, confidence, and human control.
- Experience with mixed-methods research, experimentation, longitudinal research, or product analytics.
- Experience establishing a research repository, participant program, customer advisory practice, or other repeatable research capability.
- Formal education in psychology, cognitive science, human-computer interaction, human factors, sociology, anthropology, or a related field; equivalent practical experience accepted.
What We Do
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. Industrial process data is the collection of time-series data, events, and signals, as well as related contextual data, generated by production and manufacturing organizations. Due to the high volume, velocity, and variety of these data streams, industrial process data typically requires extensive manipulation to enable insight and analytics. Seeq's sophisticated yet easy-to-use analysis tools are applicable for industrial markets like oil refineries, pharmaceuticals, and energy production. Seattle-based Seeq also has satellite offices in the western United States and Canada. Launched in May, 2013, the experienced founding team includes executives, engineers, and data scientists formerly with OSIsoft, Honeywell, Microsoft, and Insitu. Seeq is led by Dr. Lisa Graham, CEO. Learn more about Seeq at www.seeq.com.








