Job details

Senior UX Researcher

About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.

Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

Business Insider named us an "enterprise startup to bet your career on"
Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for a Senior UX Researcher to conduct both foundational and directional studies. You will be responsible for learning what our users expect from the product and working with the design team to develop innovative solutions. You will be encouraged to find new areas for improvement within the product via qualitative and quantitative methods, including user interviews, usability testing, log analysis, unmoderated user testing, surveys, and secondary research.

This is an exciting opportunity to drive research for both new initiatives and design revamps in a fast-growing pre-IPO startup. In this role, you will also be responsible to:

Plan and conduct context-appropriate research that varies in approach, scale, scope, time frame, and methodology depending on project requirements
Support the product team in testing ideas and prototypes with internal and external users
Use quantitative sources like Snowflake and Mixpanel to parse through usage logs to complement or inspire follow-up qualitative studies that understand the "why" behind the data
Cultivate relationships with internal stakeholders and customers as part of ongoing partnerships
Synthesize, communicate, and present research findings to stakeholders. Make concrete and actionable recommendations based on your findings
Clearly articulate the rationale behind research conclusions and recommendations

Requirements

Qualifications / Experience / Technical Skills

Master's or Ph.D. degree in Human-Computer Interaction, Psychology, Anthropology, Sociology, Cognitive Science, or related field.
You have at least 5 years of end-to-end experience (or at least 1 year of product research experience for PhDs) conducting all aspects of research (study design, recruiting, moderation, analysis, reporting).
You have extensive experience with foundational studies and are excited about supporting new product initiatives.

You are confident in your knowledge of design research methods and understand the strengths and weaknesses of these methods. You've got stories of how you've applied them to real-world practical problems.
You can work independently and adapt your research methods as necessary in the face of time constraints.
You are fluent with data and principles of experiment design.
You're a great storyteller and communicator, able to write and speak

fluently in English.
You are technically curious and not intimidated by technically deep

products and their underpinnings.
[Optional] Enterprise product research experience is a plus.
[Optional] Basic programming knowledge is a plus.
[Optional] Strong data analysis skill is a plus.