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AnacondaAN

UX Researcher II

Anaconda, Inc. is a data science and AI platform provider, offering open-source tools and enterprise solutions primarily based on Python and R programming languages. It aims to empower organizations and individuals to harness data for innovation and decision-making.

Anaconda

Employee count: 201-500

Salary: 80k-101k USD

United States only

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About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary

We’re looking for an UX Researcher II to join our User Experience team at Anaconda, home to the world’s most popular Python data science platform. Our team turns real user insight into product decisions that matter, partnering with design and engineering to build tools that data scientists, developers, and technical practitioners rely on every day. We share findings early, challenge assumptions openly, and let evidence lead.

As part of the UX Research team, you will plan and execute evaluative research studies, synthesize usability findings, and help the team build a clearer picture of user needs within a specific product area. You will work directly with product managers, designers, data analysts, and engineers, contributing research that directly informs feature scope and roadmap direction.


What You'll Do
  • Plan and execute evaluative research studies, including usability tests, surveys, and interviews, selecting appropriate methods for each goal with light oversight.
  • Synthesize findings into clear, actionable insights that connect directly to product decisions, design iteration, and roadmap trade-offs.
  • Partner with designers and product managers to define research questions, frame study goals, and ensure findings reach the right people at the right time.
  • Collaborate on defining user segments and recruitment criteria to ensure studies reflect the people we build for.
  • Deliver research readouts and documentation that are clear, accessible, and reusable by cross-functional teams.
  • Contribute to research libraries, documentation templates, and operational processes that improve how the team delivers at scale.
  • Build proficiency across research tools such as Great Question and User Interviews to support efficient study execution and synthesis.
Your Impact Will Be Measured Through
  • Quality and clarity of research documentation and study readouts delivered to product and design partners.
  • Influence of usability and evaluative findings on feature scope, design iteration, and roadmap decisions.
  • Reliability and repeatability of research execution, including recruitment, logistics, and synthesis workflows.
  • Growth in method range and independent study execution over time.
What You Need
  • 1–3 years of applied UX research experience in a product organization, including hands-on execution of evaluative studies such as usability tests, surveys, or interviews.
  • Demonstrated ability to synthesize research findings into clear documentation tied to product decisions.
  • Experience collaborating with designers and product managers to frame research goals and deliver findings that inform design or roadmap work.
  • Experience selecting and applying research methods appropriate to study goals with limited oversight.
  • Develop UX artifacts including personas, user journeys, and mental models that bring user understanding to life for teams across the organization.
  • Portfolio or work samples showing research execution, synthesis, and the connection between findings and product outcomes.
  • Bachelor’s degree in HCDE, Human Factors, Cognitive Psychology, or a related field, or equivalent work experience.
  • Experience working effectively in a fully remote environment.
  • You embody our values: “Curious by Default”, “Build Together”, “Own It”, and “Lead with Guts and Heart”, and our behaviors: Clarity, Care and Candor.
  • You care deeply about fostering an environment where people of all backgrounds and experiences can flourish.
What Will Make You Stand Out
  • Experience researching developer, data scientist, or technical practitioner audiences in an open-source or AI-oriented product company, you don’t need to code, but familiarity with technical workflows is a strong advantage.
  • Early exposure to quantitative methods or behavioral data analysis, including comfort working with usage data or analytics tools to complement qualitative findings.
  • Experience contributing to research operations, including documentation templates, recruitment processes, or research libraries that improved team efficiency.
  • Experience presenting research findings to cross-functional stakeholders, advocating for users in rooms where they are underrepresented.
Why You'll Like Working Here
  • You'll thrive in a high-performance environment where results are recognized and rewarded
  • Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
  • You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
  • You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The application deadline for this role is 05/18/2026;applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $80,000 - $101,000, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and Mental Health Resources

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.

By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.

Anaconda is an EEO/AA employer M/F/V/D.

About the job

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Posted on

Job type

Full Time

Experience level

Salary

Salary: 80k-101k USD

Education

Bachelor degree

Experience

1 year minimum

Experience accepted in place of education

Location requirements

Hiring timezones

United States +/- 0 hours

About Anaconda

Learn more about Anaconda and their company culture.

View company profile

At the heart of Anaconda, Inc. is a culture deeply rooted in the open-source community and a mission to empower the world with data literacy. Since its inception in 2012 by Peter Wang and Travis Oliphant, the company has been driven by the need to bring Python into the forefront of business data analytics. This vision has propelled Python to become the most popular programming language today, with Anaconda at the vanguard, serving over 40 million users globally. The company's core values of Clarity, Care, and Candor shape its interactions and operations, fostering an environment of transparency, empathy, and constructive dialogue. Anaconda believes that diverse perspectives are the engine of innovation, equity creates opportunities, and inclusion allows everyone to thrive. This commitment is reflected in their efforts to build a culture where individuals from all backgrounds feel a sense of belonging, which they see as crucial for creating superior products and serving their vast community.

Anaconda's dedication to open-source innovation is unwavering. They champion the vibrant Python community and continue to steward open-source projects that are foundational to future AI advancements. The company's platform is designed to simplify and accelerate data science and machine learning workflows, making advanced analytics accessible to both individuals and large organizations. By providing a trusted ecosystem, Anaconda enables users to harness the power of open-source for competitive advantage, groundbreaking research, and ultimately, a better world. They strive to transform how people interact with data, empowering them to make informed decisions and drive progress across diverse industries. This commitment extends to their team, offering a collaborative environment that values multiple perspectives and clear thinking, alongside benefits that support well-being, family, and professional growth. Anaconda is not just a technology provider; it's a community builder and a catalyst for data-driven innovation, shaping the future of artificial intelligence and machine learning.

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