Configure data labeling components and quality controls, develop user interfaces and AI-driven ... Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems ...
Configure data labeling components and quality controls, develop user interfaces and AI-driven ... Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems ...
Shopify User Experience information
What are some typical challenges faced by Shopify User Experience professionals, and how can they overcome them?
Shopify User Experience professionals often encounter challenges such as balancing aesthetic design with optimal site performance and ensuring seamless navigation across diverse devices. They also need to address varying customer needs and preferences, which requires ongoing user research and A/B testing. Collaborating closely with developers, marketers, and store owners is essential to implement changes efficiently and maintain consistency. Staying current with evolving e-commerce trends and Shopify updates helps UX professionals proactively solve usability issues and enhance the overall shopping experience.
What does a Shopify User Experience (UX) professional do?
A Shopify User Experience (UX) professional is responsible for designing and improving the way customers interact with a Shopify store. Their job involves researching user behavior, creating wireframes and prototypes, and optimizing the store layout to ensure a seamless and enjoyable shopping experience. They work closely with store owners, developers, and designers to enhance usability, increase conversions, and make sure the shop aligns with brand goals. Ultimately, their focus is on making the online shopping process as intuitive and efficient as possible for customers.
What is the difference between Shopify User Experience vs Shopify Web Designer?
| Aspect | Shopify User Experience | Shopify Web Designer |
|---|---|---|
| Primary Focus | Optimizing user interactions and overall experience on Shopify stores | Designing visual layouts and aesthetics for Shopify websites |
| Skills Required | User research, UX design, usability testing, Shopify platform knowledge | Graphic design, HTML/CSS, visual design, Shopify theme customization |
| Certifications | UX certifications, Shopify Partner certifications | Design certifications, Shopify theme development courses |
| Work Environment | Collaborative with developers and marketers, focus on user-centered design | Design studios, freelance, or in-house creative teams |
Shopify User Experience professionals focus on enhancing how users interact with Shopify stores, ensuring ease of use and satisfaction. Shopify Web Designers concentrate on creating visually appealing and functional website layouts. While both roles require familiarity with Shopify, UX roles emphasize user research and usability, whereas Web Designers focus on aesthetics and visual design.
What are the key skills and qualifications needed to thrive as a Shopify User Experience (UX) Designer, and why are they important?
To thrive as a Shopify User Experience (UX) Designer, you need a strong understanding of user-centered design principles, e-commerce best practices, and experience with Shopify’s platform, typically supported by a background in UX/UI design or related fields. Familiarity with design tools like Figma or Sketch, Shopify Theme customization, and basic front-end development (HTML, CSS, Liquid) is essential. Creativity, problem-solving, and the ability to communicate and collaborate with cross-functional teams are vital soft skills in this role. These skills ensure seamless, engaging online shopping experiences that drive customer satisfaction and business growth.
Is it hard to get hired at Shopify?
Getting hired as a Shopify User Experience professional can be competitive, often requiring relevant skills in UX design, user research, and familiarity with Shopify's platform. Candidates typically need a strong portfolio, experience with design tools like Figma or Adobe XD, and a good understanding of e-commerce user needs. The hiring process may include multiple interviews and technical assessments.
Can you make 10k a month on Shopify?
Shopify user experience professionals can contribute to increasing sales and revenue, but earning $10,000 a month depends on factors such as store traffic, product margins, marketing strategies, and overall business performance. Achieving this income level typically requires effective UX design, strong branding, and consistent optimization. It is not guaranteed solely by the role but is influenced by the success of the entire e-commerce operation.
Is UI/UX still in demand in 2026?
UI/UX design remains in high demand in 2026, especially for roles like Shopify User Experience specialists, as companies prioritize user-centered online shopping experiences. Skills in wireframing, prototyping, and familiarity with design tools like Figma or Adobe XD are valuable, and demand is driven by e-commerce growth and digital transformation across industries.
Did Shopify drop UX as a title?
Shopify still uses the title 'User Experience' or similar roles such as UX Designer or UX Developer within their teams. The focus remains on improving customer and merchant interactions through design, research, and usability testing. Job titles may vary, but UX-related roles are actively part of Shopify's hiring and organizational structure.
What are popular job titles related to Shopify User Experience jobs in Kentucky? For Shopify User Experience jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Shopify User Experience jobs in Kentucky look for? The top searched job categories for Shopify User Experience jobs in Kentucky are:
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Re-posted 6 days ago
Job description
Company Intro
At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains-from doctors and lawyers to physicists and engineers-and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify.
Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more.
About the Role
Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers' needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
- Act as the primary technical point of contact for customers across technical and executive stakeholders.
- Lead discovery conversations to deeply understand client goals, problems and quality criteria.
- Translate client needs into clear, actionable solution designs and delivery plans.
- Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
- Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
- Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
- Design end-to-end data solutions using Toloka's platform, selecting appropriate components, workflows, and quality controls.
- Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
- Run experiments and pilots to validate quality, throughput, and cost assumptions.
- Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
- Ensure solutions meet agreed quality, performance, and scalability requirements.
- Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
- Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
- Prioritize work based on customer impact and business value.
- Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
- Continuously optimize solutions through iteration, automation, and adoption of new technologies.
- Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
- Drive solutions toward stable operation with minimal ongoing maintenance.
- Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
- Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
- Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
- Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
- Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
- Experience designing multi-stage pipelines and complex systems.
- Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
- Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
- Ability to reason about trade-offs between quality, speed, cost, and scalability.
- Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
- Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
- Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
- Ability to manage multiple projects in fast-paced, ambiguous environments.
- Experience with crowdsourcing, expert workflows, or large-scale data labeling.
- Experience working on ML training, evaluation, or agentic systems.
- Familiarity with quality frameworks, audits, or data validation pipelines.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
- Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
- Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
- Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list
What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
Thank you for your vigilance!