... Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos ... Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have
... Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos ... Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have
Project Manager Shopify information
See Kentucky salary details
$22.76 - $27.01
1% of jobs
$27.01 - $31.26
3% of jobs
$31.26 - $35.51
4% of jobs
$35.51 - $39.76
10% of jobs
$41.53 is the 25th percentile. Wages below this are outliers.
$39.76 - $44.01
16% of jobs
$44.01 - $48.27
15% of jobs
The median wage is $48.40 / hr.
$48.27 - $52.52
17% of jobs
$56.18 is the 75th percentile. Wages above this are outliers.
$52.52 - $56.77
10% of jobs
$56.77 - $61.02
4% of jobs
$61.02 - $65.27
9% of jobs
$65.27 - $69.52
11% of jobs
$22
$49
$69
How much do project manager shopify jobs pay per hour?
As of Jul 2, 2026, the average hourly pay for project manager shopify in Kentucky is $49.81, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $59.28 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Project Manager Shopify, and why are they important?
To thrive as a Project Manager Shopify, you need expertise in e-commerce project management, understanding of Shopify platform capabilities, and a background in business or IT, often supported by a relevant degree or certification. Familiarity with Shopify admin tools, project management software like Jira or Trello, and integrations such as Shopify apps or APIs is typically required. Exceptional communication, problem-solving, and leadership skills help you coordinate multidisciplinary teams and manage client expectations. These abilities ensure seamless store launches, efficient workflows, and successful project outcomes in the dynamic e-commerce environment.
What are some common challenges faced by a Project Manager working with Shopify projects, and how can they be addressed?
One common challenge for Project Managers overseeing Shopify projects is managing frequent client requests for customization, which can impact timelines and budgets. Staying proactive by setting clear expectations, maintaining transparent communication, and using project management tools to track changes helps mitigate scope creep. Additionally, collaborating closely with developers and designers ensures that technical limitations and best practices are considered early, resulting in smoother project delivery. Regular check-ins with stakeholders also help address issues promptly and keep the project aligned with business goals.
What does a Project Manager Shopify do?
A Project Manager Shopify oversees the planning, execution, and delivery of Shopify-based e-commerce projects. They coordinate between clients, developers, designers, and other stakeholders to ensure projects meet business objectives, timelines, and budgets. Their responsibilities often include defining project scope, managing resources, tracking progress, and troubleshooting issues related to Shopify store setup, customization, and integrations. Effective communication and problem-solving skills are essential for ensuring successful project outcomes on the Shopify platform.
What is the difference between Project Manager Shopify vs Web Developer Shopify?
| Aspect | Project Manager Shopify | Web Developer Shopify |
|---|---|---|
| Primary Role | Oversees Shopify projects, manages timelines, coordinates teams | Develops, codes, and maintains Shopify stores and themes |
| Required Skills | Project management, communication, Shopify platform knowledge | HTML, CSS, Liquid, JavaScript, Shopify API |
| Certifications | Project management certifications (e.g., PMP) beneficial | Web development certifications or Shopify Partner certifications |
| Work Environment | Client meetings, team coordination, project planning | Coding, testing, debugging, designing Shopify themes |
The main difference between a Project Manager Shopify and a Web Developer Shopify lies in their focus. The Project Manager oversees the entire project, ensuring timely delivery and team coordination, while the Web Developer focuses on building and customizing Shopify stores through coding. Both roles require familiarity with Shopify, but their skill sets and responsibilities differ significantly.
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What job categories do people searching Project Manager Shopify jobs in Kentucky look for? The top searched job categories for Project Manager Shopify jobs in Kentucky are:
What cities in Kentucky are hiring for Project Manager Shopify jobs? Cities in Kentucky with the most Project Manager Shopify job openings:
Other
Posted 4 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!