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Shopify Store Manager Remote Jobs in Colorado (NOW HIRING)

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Feature Store & AI Data Infrastructure * Lead the design and operation of online and offline ...

Specialist Seller, Mid-Market

Denver, CO · On-site +1

$152K - $171K/yr

This is a remote position open to candidates residing in the United States. You should apply if ... One day you'll meet with someone in waste management and the next you may be learning about the ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Partner with the Snowflake Administrator on platform optimization, security, resource management ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Partner with the Snowflake Administrator on platform optimization, security, resource management ...

This position is remote and must be a US citizen due to the projects we work on. Why Tetra Tech: At ... This role supports project teams, technical staff, managers, and administrative personnel by ...

New

Remote Principal Software Engineer - Data Architecture and Engineering US-based only | No visa ... stores, warehouses) · Optimize database performance: query tuning, indexing, execution plan ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... authoring, database management, and creating/maintaining large data stores in SQL and cloud ...

Senior EDI Analyst

Denver, CO · On-site +1

$95K - $120K/yr

Manage EDI integrations on both the customer and vendor sides of the business * Manage AS2 and VAN ... Remote option or hybrid role in downtown Denver at our newly renovated offices with paid parking.

Manage EDI integrations on both the customer and vendor sides of the business * Manage AS2 and VAN ... Remote option or hybrid role in downtown Denver at our newly renovated offices with paid parking.

Work with NetSuite Account Executives and Account Managers across North America, in all verticals ... Today we have over 400 remote employees sitting across ten countries; United States, Canada, Mexico ...

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Showing results 1-20

Shopify Store Manager Remote information

What is the difference between Shopify Store Manager Remote vs Shopify E-commerce Specialist?

AspectShopify Store Manager RemoteShopify E-commerce Specialist
CredentialsExperience with Shopify, basic e-commerce knowledgeShopify platform familiarity, marketing skills
Work EnvironmentRemote, independent management of storeRemote or on-site, focused on marketing and sales
Industry UsageRetail, online stores, e-commerce businessesMarketing agencies, e-commerce brands
Search & Comparison IntentManaging Shopify stores remotelyOptimizing Shopify sales and marketing

The main difference is that a Shopify Store Manager Remote primarily oversees store operations, inventory, and customer service, while a Shopify E-commerce Specialist focuses on marketing, sales strategies, and driving traffic. Both roles require Shopify platform knowledge but serve different functions within e-commerce businesses.

Can you make 10k a month on Shopify?

A Shopify Store Manager can potentially earn 10k or more per month by effectively managing high-performing stores, optimizing marketing strategies, and scaling sales. Achieving this income level typically requires strong skills in e-commerce, digital marketing, and data analysis, as well as experience growing online businesses. Income varies based on store size, niche, and sales volume.

What are the key skills and qualifications needed to thrive as a Shopify Store Manager (Remote), and why are they important?

To thrive as a Shopify Store Manager (Remote), you need a solid understanding of e-commerce operations, sales strategies, and experience with the Shopify platform. Familiarity with tools such as Shopify Admin, analytics platforms (like Google Analytics), and marketing tools, as well as knowledge of SEO and digital advertising, are typically required. Excellent communication, organization, and problem-solving abilities set top performers apart in this role. These skills ensure effective online store management, optimized sales performance, and a seamless customer experience in a competitive digital marketplace.

How can I make 2000 a week working from home?

A Shopify Store Manager working remotely can earn $2000 a week by effectively managing multiple stores, optimizing sales strategies, and utilizing skills in marketing, analytics, and customer service. Achieving this income level often requires experience, a strong understanding of e-commerce tools, and consistent performance. Income varies based on store size, product margins, and workload.

How much do Shopify store managers make?

Shopify store managers typically earn between $45,000 and $75,000 annually, depending on experience, location, and the size of the store. Those with advanced skills in e-commerce platforms, marketing, and analytics may earn higher salaries or bonuses, especially in remote or freelance roles.

Does Shopify do remote work?

Shopify offers remote work opportunities for various roles, including positions like Shopify Store Manager. Many employees work remotely, and the company provides flexible work arrangements depending on the role and team requirements. Candidates should review specific job postings for remote options and expectations.

What does a remote Shopify Store Manager do?

A remote Shopify Store Manager is responsible for overseeing the daily operations and performance of an online store built on the Shopify platform, all while working from a remote location. Their duties typically include managing product listings, handling customer inquiries, monitoring sales and inventory, implementing marketing and promotional strategies, and ensuring the store runs smoothly. They also analyze store metrics to optimize sales and improve the customer experience. Effective communication with team members, suppliers, and customers is crucial for success in this role.

How does a Shopify Store Manager working remotely typically collaborate with marketing and customer support teams?

As a remote Shopify Store Manager, regular collaboration with marketing and customer support teams is essential to ensure smooth store operations and customer satisfaction. This is often achieved through daily stand-up meetings via video calls, shared project management tools, and communication platforms like Slack or Microsoft Teams. The manager coordinates promotional campaigns with the marketing team, reviews customer feedback with support staff, and uses centralized data dashboards to align goals. Strong communication skills and proactive planning help overcome the challenges of remote teamwork and keep all departments aligned.
What cities in Colorado are hiring for Shopify Store Manager Remote jobs? Cities in Colorado with the most Shopify Store Manager Remote job openings:
Head of Data Platform

Head of Data Platform

KORE1 Technologies

Denver, CO • Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Head of Data Platform that is fully remote. 

Why This Role Exists
We operate a large-scale, multi-tenant SaaS platform supporting thousands of enterprise customers nationwide. Our data ecosystem - spanning relational databases, NoSQL systems, streaming events, and cloud-based data lakes - powers complex transactional workflows, integrations, analytics, and operational decision-making at scale.

As the platform evolves, we are building intelligent, closed-loop optimization systems capable of observing operational signals, predicting outcomes, automating decisions, and continuously learning from results. These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure, telemetry, and strong governance controls.

This role will own the foundational data architecture that enables those capabilities. You will lead the design of the data platform, feature infrastructure, governance framework, and real-time data systems that transform a transactional SaaS platform into an intelligent decision engine.
This is a highly hands-on leadership role focused on modern data architecture, AI/ML infrastructure, streaming systems, governance, and scalable platform engineering.
Scope & Scale
  • Large-scale multi-tenant SaaS environment supporting thousands of enterprise customers
  • High-volume transactional and operational data workloads
  • Complex third-party integrations spanning multiple data formats and protocols
  • Real-time streaming systems and event-driven architectures
  • Multiple optimization and intelligent automation initiatives requiring scalable feature engineering and telemetry systems
What You Will OwnData Platform Architecture
  • Design and own the end-to-end data platform architecture including raw ingestion, canonical entity modeling, analytics layers, feature infrastructure, and telemetry systems.
  • Build scalable frameworks for feature engineering, data quality, lineage, governance, and operational reliability.
  • Define patterns for tenant isolation, auditability, retention policies, and secure data access at scale.
Feature Store & AI Data Infrastructure
  • Lead the design and operation of online and offline feature infrastructure supporting real-time scoring and model training workflows.
  • Establish standards for feature ownership, freshness SLAs, training/inference parity, metadata governance, and lifecycle management.
  • Build scalable pipelines supporting ML models, intelligent automation workflows, and AI-enabled platform capabilities.
Streaming & Event-Driven Systems
  • Design and operate real-time streaming pipelines, event-driven data propagation, and change-data-capture systems.
  • Support low-latency feature materialization and telemetry processing across distributed services.
  • Ensure scalability, observability, and reliability across streaming infrastructure.
Data Governance & Quality
  • Establish enterprise-grade governance frameworks covering PII handling, tenant isolation, retention policies, audit logging, and cost attribution.
  • Implement automated monitoring for schema drift, stale pipelines, null spikes, feature skew, and data inconsistencies.
  • Own data quality standards and operational accountability across the platform.
Platform Modernization & Migration Strategy
  • Lead data migration and modernization initiatives across relational and NoSQL systems.
  • Define scalable migration patterns including dual-write validation, reconciliation strategies, and zero-downtime cutovers.
  • Partner with Engineering, Infrastructure, Product, and AI teams to align platform evolution with business goals.
Technical Leadership
  • Mentor engineers and data practitioners across multiple teams.
  • Drive architecture reviews, data modeling standards, and platform engineering best practices.
  • Establish scalable operating mechanisms and technical governance processes.
Technical EnvironmentData Platforms & Storage
  • Relational and NoSQL systems including Aurora/MySQL/PostgreSQL, DynamoDB, S3 data lakes, and distributed storage architectures
  • Modern lakehouse and analytical storage patterns
Streaming & Event Systems
  • Event-driven architectures, streaming pipelines, CDC frameworks, and real-time feature propagation systems
AI & ML Infrastructure
  • Feature stores, model training pipelines, model lifecycle infrastructure, and AI-enabled workflow systems
  • Production AI/ML deployment and observability frameworks
Data Engineering & Analytics
  • ETL/ELT orchestration platforms
  • Distributed analytics environments and BI tooling
  • Metadata cataloging, governance, and observability systems
Infrastructure & DevOps
  • AWS cloud infrastructure, infrastructure-as-code, CI/CD, monitoring, and operational tooling
Hands-On Expectations
This is not a purely strategic leadership role. The expectation is a strong balance of:
  • hands-on engineering and SQL/data work
  • architecture and systems design
  • technical mentorship and cross-functional leadership
You should be comfortable operating both as a high-level architect and as a deeply technical contributor on critical systems and pipelines.
First 12 MonthsMonths 1-3
  • Evaluate the existing data landscape, integrations, pipelines, and governance gaps
  • Define canonical entity models and future-state data architecture standards
  • Publish initial architecture recommendations and modernization priorities
Months 4-6
  • Establish foundational feature infrastructure and governance frameworks
  • Deliver initial modernization and migration initiatives
  • Implement automated monitoring and data quality controls
Months 7-9
  • Support production deployment of optimization and intelligent automation workflows
  • Operationalize feature lifecycle management, telemetry systems, and model infrastructure
  • Expand streaming and event-driven capabilities across the platform
Months 10-12
  • Deliver additional production-scale optimization and AI-enabled data capabilities
  • Mature governance, observability, and platform reliability standards
  • Define long-term roadmap for data platform scalability and intelligent systems evolution
RequirementsRequired Qualifications
  • 7+ years of experience in data engineering, platform engineering, or data architecture roles
  • Experience operating at a senior architect, principal, or platform leadership level
  • Deep expertise in both relational and NoSQL data modeling and distributed data systems
  • Strong experience building scalable feature infrastructure and real-time data platforms
  • Hands-on experience with cloud-native AWS data and analytics services
  • Experience supporting AI/ML workflows, feature engineering, or production AI systems
  • Strong understanding of event-driven architectures, CDC, and streaming data systems
  • Experience with large-scale multi-tenant platform architectures and governance challenges
  • Strong data governance instincts around security, auditability, PII handling, and operational accountability
  • Ability to balance architecture leadership with hands-on implementation work
Strongly Preferred
  • Experience supporting AI/ML lifecycle infrastructure including feature stores, model registries, monitoring, and production deployment workflows
  • Experience with LLM-related infrastructure, embeddings pipelines, retrieval systems, or intelligent automation workflows
  • Experience building closed-loop analytics or optimization systems with telemetry and outcome tracking
  • Strong experience with data quality monitoring and anomaly detection at scale
  • Familiarity with lakehouse architectures, open table formats, and large-scale analytical systems
Nice to Have
  • Experience in SaaS, fintech, automotive, marketplace, or transaction-heavy industries
  • Familiarity with complex third-party integrations and heterogeneous data sources
  • Experience with vector databases or semantic retrieval systems
  • Exposure to optimization, recommendation, scheduling, or operational intelligence systems
Benefits & Culture
We are a fast-paced and collaborative technology organization focused on building scalable platforms that improve operational efficiency, intelligent automation, and customer outcomes.
We offer:
  • Comprehensive medical, dental, and vision coverage
  • Employer-sponsored disability and life insurance
  • 401(k) with company match
  • Generous paid time off and company holidays
  • High-impact ownership over foundational AI and data platform initiatives
  • Opportunity to shape next-generation intelligent systems at scale




Compensation depends on experience but is typically 200-250k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 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. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR