Boot Barn Jobs in Usa

Are you an experienced Arborist looking to take your career to the next level? As an Arborist Crew Leader, you will be an integral member of the team, serving as the leader of a tree care crew with the primary responsibility of performing all tree care services safely and efficiently. This is a unique opportunity to share your passion for tree care by enhancing the skills, performance, and productivity of other team members within your office.

• $25.00 - $30.00 per hour
• A safety-first culture and professional workplace
• Advancement opportunities - we promote from within
• Medical, dental, vision, life, and disability insurance
• 401k retirement plan
• Paid time off and holidays
• Industry credential/license pay increases - we encourage and invest in your professional development
• Company provided uniforms, PPE, gear, and equipment
• Boot reimbursement up to $150
• Access to training, continuing education programs, and a variety of resources provided by the Bartlett Tree Experts Research Laboratories in Charlotte, NC

To find out more about what life is like at Bartlett, check us out on Instagram @LifeatBartlett.

As an Arborist Crew Leader, you will play an important role in:

• Safely performing and supervising all aspects of arboriculture, including:
  • Pruning
  • Cabling and bracing
  • Rigging
  • Removals
  • Properly maintaining and operating equipment (hand tools, chainsaws, chippers, and aerial lifts)
• Bringing a cooperative and enthusiastic attitude to the job site
• Supervising and managing crews while performing tree care services, as directed by the Arborist Representative and Local Manager
• Ensuring that each crew member is trained appropriately for each designated job assignment
• Ensuring that all tree care work is performed in accordance with industry and company standards
• Communicating, answering questions, and building relationships with clients

• A passion for nature, the environment, and the outdoors
• At least three (3) years of tree climbing (DdRT or SRT) and aerial lift experience in the tree care industry
• Valid driver's license (Class B CDL preferred)
• Ability to work outdoors year-round in all weather conditions
• Proven initiative, positive attitude, team-oriented, and self-motivated

The F. A. Bartlett Tree Expert Company is an Equal Opportunity and E-Verify Employer.

Burlington

VT

Production Arborist

Regular Full-Time

• Read, process sheets, blueprints, and sketches of part to determine machining to be done, dimensional specifications, set up, and operating requirements.
• Identify, select and install proper tooling for operations being performed.
• Calculate proper feeds and speeds for a variety of steel grades, copper, brass, aluminum and bronze
• Intuitively understand capabilities of tooling and machinery.
• Understand applicable quality systems and perform necessary quality inspections.
• Apply principles of Lean Manufacturing to reduced setup times and improve productivity.
• Employee must be able to set up all necessary measuring equipment and routinely check the calibration of the equipment while measuring.

• Prior experience with precision inspection equipment including, but not limited to, micrometers, calipers, height gauges, bore gauges
• One year certificate from college or technical school; or three to six months related experience and/or training; or equivalent combination of education and experience.
• Prior experience with precision inspection equipment including, but not limited to, micrometers, calipers, height gauges, bore gauges
• Proven ability to hold tight machining tolerances of less than .001\"

• The employee is regularly required to stand and talk or hear occasionally required to walk; sit; use hands to finger, handle, or feel; and taste or smell
• must frequently lift and/or move up to 50 pounds
• Specific vision abilities required by this job include close vision, depth perception, and ability to adjust focus. Material Hazards:
• Regularly exposed to moving mechanical parts Occasionally exposed to fumes or airborne particles and vibration
• The noise level in the work environment is usually loud.

• Earn $1,630+ per week
• Solo miles pay:?$0.60 per mile with 2,000 miles per week
• Solo stops pay:?$26 per stop with 15 stops per week
• Per Diem pay: $40.00 per night with 1 - 2 nights per week, possibly 3
• Paid weekly
• Overnights for the route are in a Ryder booked hotel
• HAZMAT endorsement is required within 90 days of accepting the position if you do not already have it - WE REIMBURSE YOU!

• Schedule: 5-day work week - Monday - Friday or Tuesday - Saturday
• Start time: 9:00 PM - 3:00 AM dispatch window
• 50 or more hours per week
• Deliver solo to: IL, WI, IA, OH, MI, IN, KS, NE, MN, ND, SD, & KY

• Paid training
• Paid weekly
• Paid holidays & vacation
• Uniform, cell phone, and boot allowance
• Comprehensive medical, dental, and vision benefits start at 30 days
• Immediate 401(k) rollover and contribution with company match at one-year
• Unlimited referral bonus
• 12 weeks of paid maternity leave
• Quality employee discounts that save you money on tools, cars, hotels, electronics, appliances, travel, and more!

Ryder is a commercial transportation, logistics, and supply chain management solutions company in business for over 80 years. As one of our drivers, you represent the heart of our mission and that's something we reward, admire, and appreciate. In support of that, we give you the benefits, resources, and flexibility you need to make your career journey a safe, rewarding, and successful one.

• HAZMAT endorsement within 90 days of being hired
• Valid Class A CDL
• 9 months of experience within the past 3 years
• Minimum 21 years of age
• Pass a Ryder Drug Test
• Pass a Ryder Background and Motor vehicle check including drug and alcohol verification from previous employers for the last 3 years
• Pass a DOT physical and Ryder road test

Ryder is an Equal Opportunity Employer and Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, among other things, or status as a qualified individual with a disability.

(*This form is considered to be a submission of interest to Ryder and is NOT a formal application of employment.)

Bare Home | Forest Lake, Minnesota, United States (On-site)

About Us:

JP Ecommerce has been named one of the top-ten, fastest growing businesses in Minnesota by Inc. 5000 for the past four years in a row. We provide customers with high-quality bedding through our brand Bare Home. As a leading textile retail company, we source premium products from key regions including China, India, Pakistan, and Turkey. Our commitment to excellence has earned us a reputation as an industry leader in sustainable and ethical textile sourcing.

What sets us apart is our entrepreneurial, collaborative environment where team members can quickly see their ideas transform into action. At Bare Home, you'll experience the satisfaction of ownership over projects, working alongside friendly, dedicated colleagues in a fast-paced setting where no two days are the same.

Position Overview:

We are a fast-growing direct-to-consumer (DTC) bedding brand seeking a Junior Performance Marketing Analyst to join our in-house team and drive our paid advertising and content optimization strategy. This entry-level role is ideal for a recent college graduate with a degree in statistics, data analysis, analytics, or a related field, eager to apply their analytical skills to set up, create, and optimize ad campaigns while analyzing performance and content across multiple platforms, including Google Ads, Meta Ads, Bing Ads, Amazon Advertising, Criteo, Target, Walmart, Kohl's, Wayfair, and Bed Bath & Beyond. No prior experience is required—just a passion for data-driven marketing and a desire to grow with our brand.

Key Responsibilities:

Ad Campaign Management:

• Set up and create PPC campaigns on Google Ads, Meta Ads, Bing Ads, Amazon Advertising, and retail partner platforms (Criteo, Target, Walmart, Kohl's, Wayfair, Bed Bath & Beyond)
• Optimize campaigns by adjusting bids, targeting settings, demographics, and ad creatives to maximize ROAS and conversions
• Develop compelling ad copy and visuals that align with our sustainable bedding brand identity

Performance Analysis:

• Analyze campaign performance using tools like Google Analytics, TripleWhale, and Looker Studio to track KPIs (e.g., ROAS, CPC, conversion rates)
• Evaluate keyword performance and targeting settings to refine campaign strategies
• Conduct A/B testing and audience segmentation to improve ad effectiveness

Content Analysis:

• Analyze marketing content, product listings, product page content, and ad content to ensure alignment with brand goals and customer appeal
• Provide data-driven recommendations to optimize content for conversions and engagement

Website Analytics:

• Monitor website analytics via Google Analytics and TripleWhale to assess user behavior, traffic sources, and conversion funnels
• Identify opportunities to improve website performance and support retargeting efforts

Reporting & Collaboration:

• Generate actionable reports and insights to guide budget allocation and campaign adjustments
• Collaborate with our in-house team to integrate ad campaigns and analytics with Shopify and TripleWhale for seamless tracking

Qualifications & Requirements:

Education & Experience:

• Bachelor's degree in statistics, data analysis, analytics, mathematics, or a related field
• Strong analytical mindset with coursework or projects in data analysis, statistical modeling, or data visualization
• No prior professional experience required; relevant internships, academic projects, or coursework in marketing or analytics are a bonus

Technical Skills:

• Proficiency in Excel or Google Sheets; familiarity with Python, R, SQL, or data visualization tools (e.g., Tableau) is a plus
• Keen interest in digital marketing and eagerness to learn PPC platforms (Google Ads, Meta Ads, Amazon Advertising, etc.)
• Familiarity with Google Analytics (GA4 preferred) and basic understanding of web analytics
• Digital marketing bootcamp certification strongly preferred (University of Minnesota Digital Marketing Boot Camp or similar)

Personal Qualities:

• Detail-oriented with strong problem-solving skills to interpret data and optimize content
• Excellent communication skills and ability to work in a collaborative, fast-paced environment
• Self-motivated with ability to thrive in an entrepreneurial environment
• Passion for data-driven marketing and measurable results
• Eagerness to learn new platforms and adapt to changing marketplace dynamics

Certifications Preferred:

• Google Ads Search or Display Certification
• Google Analytics certification
• Facebook Ads Manager certification
• Any other relevant digital marketing certifications

What Makes You Perfect for This Role:

You're a recent graduate with strong analytical skills who's excited about applying data analysis to digital marketing. You love working with numbers, finding patterns in data, and using insights to optimize performance. You're eager to learn multiple advertising platforms and see how your analytical work directly impacts business results. You thrive in a fast-paced environment where you can quickly implement and test your ideas.

Compensation & Benefits:

• Competitive Salary and career advancement working directly with CEO
• Performance-based bonus opportunities
• Medical, Dental, and Vision Insurance
• Short-term Disability and Life Insurance
• 401(k) with Company Match
• Paid Time Off and Holidays
• Professional development opportunities in a fast-growing company

We are only considering candidates who:

• Currently live in Minnesota or the immediate surrounding area
• Can reliably commute to our Forest Lake/Columbus location daily
• Are available for in-person interviews at our office

Application Process:

To be considered for this exciting opportunity, please submit:

• Resume highlighting your analytical coursework, projects, and any relevant internship experience
• Brief cover letter explaining your interest in applying data analysis to digital marketing
• Any relevant certifications, academic projects, or portfolio work demonstrating your analytical skills

Submit your application to: or

Visit us: Bare Home, we strive to create a culture where all people come first. We are committed to attracting and retaining a diverse workforce. Therefore, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Bare Home is an equal-opportunity employer, and by doing so, we aim to sustain and promote an inclusive culture that supports future growth for all.

We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.

As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.

This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.

This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.

Key Responsibilities:

AI Application Development

Build and maintain AI-powered features including:

• Open-to-Buy optimization and inventory planning models
• Sales forecasting and demand prediction solutions
• Intelligent OMS features for routing, allocation, and automation
• Marketing AI tools such as product copy generation and AI-assisted image generation

Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.

RAG, GraphRAG, + Vector DB Engineering

• Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
• Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
• Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
• Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.

AI Agents & Orchestration

• Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
• Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
• Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.

AI Infrastructure & System Architecture

• Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
• Assist in deploying scalable inference pipelines, batching, and caching layers.
• Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).

Data Engineering, Pipelines & Model Training

• Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
• Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
• Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
• Strong foundations in Python, data structures, and machine learning concepts.
• Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
• Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
• Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
• Exposure to SQL/NoSQL databases.
• Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
• Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
• Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
• Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.

Preferred Qualifications:

• Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
• Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
• Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
• Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.

What you'll Gain:

• Hands-on impact in designing enterprise AI capabilities from the ground up.
• Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
• A chance to shape AI products used across supply chain, marketing, and e-commerce.

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

Marc Fisher Footwear is hiring a Merchandising Planning Analyst to collaborate with Merchants on pre season and in season plans to align sales and inventory strategies.

This role will report to the Ecommerce Assortment Planner and be based from our NYC office and work on a hybrid schedule, 3 days in office/2 days WFH.

PRESEASON

• Create preseason sales, margin and inventory plans by department, class, style, and color. Analyze and report on previous quarter results; identify “missed sales” and growth drivers over prior year
• Summarize the opportunity and risk of a product plan as it relates to trend and financial metrics: initial mark-up, average unit retail, average unit cost, net margin dollars/rate.
• Recommend style count, sku count and own projected units and flow of goods for optimal results.
• Independently develop and present the financial strategy associated with growth and diminish categories in quarterly investment review meetings.
• Effectively communicate support for style level buys as it relates to current trend, historical findings, or related categories.

IN SEASON

• Provide daily and weekly updates on business as it relates to last forecast, identifying trends, and highlighting selling that exceeds or falls short of expectation.
• Prepare sales, margin and inventory forecast and lead team in monthly OTB forecast meetings for current year; provide sales trend opportunity for future quarters, validate stock-to-sales relationships, maximize receipt flow to improve turn, reconcile receipts and suggest pricing strategies to drive profitability.
• Generate and manage style level weekly unit sales plans in season to inform total department sales expectation by week/month/quarter and identify styles contributing to a +/- to forecast.
• Propose markdown and promotional strategies to maximize profitability on the life of an item or category; provide pricing and margin dollar gain/loss scenarios.

Qualifications:

• Bachelors degree
• 4+ years of merchandise planning experience; a total of 4-5 years of related experience in allocation, merchandising, financial planning, strategy or business analytics
• Strong analytical, financial modeling, and problem-solving skills.
• Ability to synthesize business performance into key highlights, root cause analysis and action plans.

Benefits Include:

• Comprehensive Medical, Dental & Vision offerings
• 401k Plan with company match
• 15+ Paid Holidays
• Summer Fridays
• 15 PTO days
• Company paid life insurance at 2x salary
• Employee Discount
• Commuter & Medical/Dependent Flex Spending Benefits
• Pet Insurance
• Salary range $85,000 - 100,000 based on experience

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, Kenneth Cole Men’s, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

The Senior Manager, Paid Media will play a critical role in driving customer acquisition and revenue growth across Marc Fisher’s portfolio of eCommerce brands. This is a highly tactical, hands-on role responsible for developing, executing, and optimizing full-funnel paid media campaigns across channels including search, social, display, video, and affiliate. Working in close partnership with the eCommerce, performance marketing, and creative teams, this role ensures campaigns are effective, efficient, and aligned with brand and business goals.

The ideal candidate is data-driven, detail-oriented, and comfortable managing multiple campaigns at once in a fast-paced, high-growth environment.

This role reports to the Director of Ecommerce Marketing and will be based out of our New York City office, currently on a hybrid schedule – 3 days in office/2 days remote.

Key Responsibilities:

• Serve as the tactical point of contact for our paid media agency, holding them accountable for KPIs through daily performance audits, strategic steering, and rigorous budget management.
• Deep-dive into attribution modeling, MMM (Marketing Mix Modeling), iROAS and LTV/CAC ratios to provide a holistic view of marketing efficiency. You won't just report numbers; you will provide the "why" behind performance shifts.
• Align with business and brand goals, clearling communicating needs and learnings.
• Continuously monitor MER, CTR, CVR, iROAS, and CPA across Google, Meta, and emerging platforms, identifying "leaks" in the funnel and directing the agency to pivot strategy in real-time.
• Design and oversee a robust A/B testing roadmap for creative, audience targeting, and landing pages to drive incremental growth.
• Manage agency to budgets, aligned with goals ensuring next dollar spent drives to KPIs.
• Stay current on AI and digital trends, platform updates, and new advertising formats—bringing forward test-and-learn opportunities for continuous improvement.
• Prepare and deliver weekly, monthly, and post-campaign performance reports with insights and actionable recommendations.

Qualifications:

• 5–7 years of hands-on experience in paid media strategy and execution (brand or agency side).
• Deep platform expertise in Meta Ads Manager, Google Ads (Search & YouTube), Pinterest, TikTok, and affiliate networks.
• Strong analytical skills with the ability to interpret data and optimize performance.
• Demonstrated ability to manage large budgets and scale performance campaigns effectively.
• Experience with D2C eCommerce preferred agency experience is a bonus.
• Ability to thrive in a fast-paced, cross-functional environment and manage multiple projects simultaneously.
• Strong verbal and written communication skills with attention to detail.
• Proficient in Excel/Google Sheets and familiar with tools such as Google Analytics, Looker, or other performance dashboards.
• Self-starter with a growth mindset and a strong sense of accountability.
• Excellent organizational and follow-through skills.
• Curious and proactive in exploring new opportunities to drive results.
• Collaborative team player who can clearly communicate across departments and with external partners.

Benefits Include:

• Comprehensive Medical, Dental & Vision offerings
• 401k Plan with company match
• 15+ Paid Holidays
• Summer Fridays
• 15 PTO days
• Company paid life insurance at 2x salary
• Employee Discount
• Commuter & Medical/Dependent Flex Spending Benefits
• Pet Insurance
• Salary range $110,000 - $130,000, based on experience

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

The CRM Production Specialist is responsible for building, deploying, and optimizing high-volume email and SMS marketing campaigns across multiple footwear brands. This role owns end-to-end campaign production—from template/HTML builds through QA, scheduling, and send—while also maintaining automated lifecycle programs (welcome, abandoned cart/browse, post-purchase, and win-back). You’ll partner closely with marketing, merchandising, and creative teams to ensure flawless execution, run A/B tests to improve performance, and monitor deliverability, list health, and compliance.

This role is based out of our New York City office and reports to our Senior Manager, CRM on our current hybrid schedule – 3 days in office / 2 days remote.

Responsibilities:

• Build and schedule daily email and SMS campaigns from concept through deployment across multiple footwear brands
• Develop and maintain automated email triggers including welcome series, abandoned cart, browse abandonment, post-purchase, and win-back campaigns
• Execute end-to-end campaign production: audience segmentation, email building (from templates or HTML), QA testing, scheduling, and deployment
• Execute A/B testing on subject lines, content, send times, and creative elements to optimize performance
• Maintain and execute updates to site pop-ups and sign up forms
• Execute quality assurance testing across devices (desktop/mobile) and email clients (Gmail, Outlook, etc.)
• Monitor email deliverability, list health, and compliance with CAN-SPAM and other regulations
• Coordinate with marketing, merch & creative teams for asset delivery + correct execution

Qualifications:

• 3-5 years of hands-on email marketing experience, preferably in fashion, footwear, apparel, or retail ecommerce.
• Strong familiarity with ESPs & marketing automation technologies. (Klaviyo experience preferred)
• Proficiency in HTML/CSS for email customization (or ability to work with templates)
• Demonstrated ability to build campaigns from scratch and execute high-volume email calendars
• Exceptional organizational and project management skills with meticulous attention to detail
• Ability to manage multiple campaigns simultaneously in a fast-paced environment
• Knowledge of email deliverability best practices and list management
• Experience with SMS marketing + automated triggers

Benefits Include:

• Comprehensive Medical, Dental & Vision offerings
• 401k Plan with company match
• 15+ Paid Holidays
• Summer Fridays
• 15 PTO days
• Company paid life insurance at 2x salary
• Employee Discount
• Commuter & Medical/Dependent Flex Spending Benefits
• Pet Insurance
• Salary range $60,000 - $75,000, based on experience

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, Kenneth Cole Men’s, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

• FT/PT
• Hours: - Flexible 6 and 12 Hour Shifts Available ( 24 hours a week minimum for Part-time)
• Employed
• New Graduates
• Average Patients seen: Varies
• Call Schedule: No Call
• Compensation: Earning Potential up to $300K
• Benefits: - Medical Insurance, Short and Long-Term Disability, Life- CME Time and Allowance 401k with Match- Paid Time Off- Relocation is Negotiable as Part of the Overall Compensation Package- EMR and DOT Certification training offered.- Urgent Care Boot Camp offered to New Graduates.
• Additional Info: - Requires MA License prior to applying (this included new grads)- Requires BC or BE in Family, Internal, and/or Emergency Medicine. Must be able to see patients of all ages.- EMR: DocuTAP

• FT/PT
• Hours: - Flexible 6 and 12 Hour Shifts Available ( 24 hours a week minimum for Part-time)
• Employed
• New Graduates
• Average Patients seen: Varies
• Call Schedule: No Call
• Compensation: Earning Potential up to $300K
• Benefits: - Medical Insurance, Short and Long-Term Disability, Life- CME Time and Allowance 401k with Match- Paid Time Off- Relocation is Negotiable as Part of the Overall Compensation Package- EMR and DOT Certification training offered.- Urgent Care Boot Camp offered to New Graduates.
• Additional Info: - Requires MA License prior to applying (this included new grads)- Requires BC or BE in Family, Internal, and/or Emergency Medicine. Must be able to see patients of all ages.- EMR: DocuTAP