senior brand designer

senior product designer

associate director, search engine optimization (temp) Jobs in New York

associate director, search engine optimization (temp)

content designer, product design - senior associate level Jobs in New York

content designer, product design - senior associate level

lead product designer

senior applied scientist sponsored products and brands off search

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights. 
 
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI. 
 
Join us in shaping the future of advertising. 
 
Key job responsibilities 
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include: 
 
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

Rain

<div><h2 class="jobSectionHeader">About the Company</h2>
Rain makes the next generation of payments possible across the globe. We&rsquo;re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you&rsquo;re curious, bold, and excited to help shape a borderless financial future, we&rsquo;d love to talk.<h2 class="jobSectionHeader">
Our Ethos</h2>
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.<h2 class="jobSectionHeader">
About the Team</h2>
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain&rsquo;s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis</li><li>
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring</li><li>
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams</li><li>
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback).</li><li>
Build robust monitoring and alerting for model performance, latency, data quality, and drift</li><li>
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases</li><li>
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle</li><li>
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy</li><li>
Collaborate closely with talented engineers, data scientist and compliance teams across Rain</li><li>
Work in a fast-paced environment on a rapidly growing product suite.</li><li>
Solve complex problems at the intersection of ML systems, data, and reliability</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2><ul><li>
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains</li><li>
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Proven track record designing and maintaining ML models at scale</li><li>
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)</li><li>
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling</li><li>
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems</li><li>
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques.</li><li>
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale</li></ul><h2 class="jobSectionHeader">
Nice to have, but not mandatory</h2><ul><li>
Domain expertise in banking, payments, or transaction monitoring</li><li>
Experience with graph-based or network-level fraud detection techniques</li><li>
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)</li><li>
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts</li></ul><h2 class="jobSectionHeader">
Things that enable a fulfilling, healthy, and happy experience at Rain:</h2><ul><li>
Unlimited time off Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.</li><li>
Flexible working We support a flexible workplace. If you feel comfortable at home, please work from home. If you&rsquo;d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.</li><li>
Easy to access benefits For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.</li><li>
Retirement goalsPlan for the future with confidence. We offer a 401(k) with a 4% company match.</li><li>
Equity plan We offer every Rainmaker an equity option plan so we can all benefit from our success.</li><li>
Rain Cards We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.</li><li>
Health and Wellness High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!</li><li>
Team summits Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.</li></ul>
Compensation Range: $187K - $258.7K</div>

Machine Learning Engineer - Fraud Risk

E.L.F. BEAUTY

<div>
 
 About The Company
 
 
 
 e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it&rsquo;s a daily routine that nourishes your skin barrier over time.
 
 
 In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 26 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.
 
 
 Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us
 
 
 
 Position Summary:
 
 
 
 e.l.f. Beauty is seeking an exceptional Search Specialist to join our innovative digital team as a resident GEO/AEO AI Search expert. The
 
 Manager, AI Search &amp; SEO
 
 will balance today&rsquo;s SEO execution with tomorrow&rsquo;s Ai search innovation, managing brand visibility while supporting e.l.f. beauty in preparing for AI and LLM-powered discovery of the future.
 
 
 We&rsquo;re seeking someone who
 
 thrives as both a side-kick and challenger
 
 : supportive enough to be embraced across teams, yet proactive and bold in driving innovation.
 
 
 In this pivotal role, you'll leverage advanced Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) technologies to help drive our digital marketing strategy and performance across the e.l.f. Beauty portfolio of brands.
 
 
 
 Acting as both activator and educator
 
 , this role will empower teams to embed future-proof tactics across the digital ecosystem, from websites to app stores to AI-powered assistants. You&rsquo;ll play a critical role in evolving how our brands, including e.l.f. Cosmetics, e.l.f. SKIN, Well People, Keys Soulcare, Naturium and Rhode Skin, show up in a search landscape defined by generative AI, natural language queries, and platform-native discovery.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 AI-Driven Search &amp; LLM Optimization
 </li>
 <li>
 Serve as the resident supporting expert on AI search technologies, staying ahead of emerging capabilities for GEO, AEO, LLMs, and ASO
 </li>
 <li>
 Research and apply strategies for visibility within AI-powered search experiences (AI Mode, Bing AI, ChatGPT plugins, Perplexity, etc.)
 </li>
 <li>
 Apply LLM- optimiaztion techniques and monitor how LLMs (ChatGPT, Bing AI, etc.) cite and mention e.l.f., refining approaches accordingly
 </li>
 <li>
 User Experience &amp; Conversion
 </li>
 <li>
 Treat SEO/GEO/ASO as an extension of UX, ensuring navigation, linking, and on-site/app search enhance discoverability and conversion
 </li>
 <li>
 Ensure accessibility and UX standards across all digital properties
 </li>
 <li>
 Measurement &amp; Reporting
 </li>
 <li>
 Track rankings, traffic, Core Web Vitals, ASO performance, and AI-driven citations
 </li>
 <li>
 Report on both traditional SEO metrics and emerging AI search KPIs
 </li>
 <li>
 Develop executive-level presentations highlighting insights, technical enhancements, and strategic recommendations
 </li>
 <li>
 Collaboration &amp; Thought Leadership
 </li>
 <li>
 Partner with digital commerce, analytics, engineering, design, and product teams to integrate SEO/GEO/ASO strategies
 </li>
 <li>
 Develop and lead training, playbooks, and best practices to educate cross-functional teams in marketing and brand across brands
 </li>
 <li>
 Stay ahead of GEO, ASO, and AI search trends seizing meaningful opportunities
 </li>
 <li>
 App Store Optimization (ASO) &amp; App Discovery
 </li>
 <li>
 Develop and maintain an ASO strategy for the e.l.f. app across app store listings
 </li>
 <li>
 Drive audience and topic research to inform app content strategies, beyond just keywords
 </li>
 <li>
 Collaborate with product and content teams to optimize app discoverability within app ecosystems and emerging AI-driven app surfaces
 </li>
 <li>
 Technical SEO Excellence
 </li>
 <li>
 Conduct site and app audits to improve crawlability, indexation, and architecture
 </li>
 <li>
 Optimize Core Web Vitals, mobile-first performance, and page speed
 </li>
 <li>
 Implement structured data, schema markup, and rich snippets
 </li>
 <li>
 Diagnose and resolve technical SEO issues ((i.e., redirects, canonicalization, broken links, sitemaps, etc.)
 
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 4&ndash;6 years of experience in SEO, AI-driven search, or digital optimization (agency or in-house)
 </li>
 <li>
 Expertise in technical SEO, GEO, AEO, and ASO with proven results
 </li>
 <li>
 Deep understanding of modern web technologies (server-side rendering, SPAs, SSR, etc.) and how AI/search bots crawl
 </li>
 <li>
 Skilled in tools like Screaming Frog, Search Console, GA4, Looker Studio, SEMRush, SimilarWeb, Conductor ,or LLM-supported tools
 </li>
 <li>
 Experience working cross-functionally in matrix environments where influence and expertise drive results
 </li>
 <li>
 Strong data-driven mindset with ability to translate insights into business impact and execution
 </li>
 <li>
 Exceptional communication skills with both technical and non-technical audiences
 </li>
 <li>
 Familiarity with HTML, JavaScript, CSS, JSON-LD, accessibility standards is a plus
 </li>
 <li>
 Bachelor&rsquo;s degree in Marketing, Computer Science, Data Science, or related field; advanced degree preferred
 
 
 
 </li>
 </ul>
 The base salary range for this role is listed above.
 
 
 Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.&rsquo;s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.
 
 
 Compensation components are subject to change at the company&rsquo;s discretion
 
 
 
 
 This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors&rsquo; discretion.
 
 
 
 
 
 e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Manager, AI Search & SEO, e.l.f. Beauty

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking an experienced Senior Product Manager-Technical who will drive the future of AI-powered creative generation that enables advertisers to produce professional-quality image, video and audio at speeds never before thought possible. You'll be responsible for leading product strategy and execution for breakthrough generative AI solutions that transform how advertisers create their creative assets.
 
 
The right candidate will have a strong track record of working with both user experience and science teams, and a deep curiosity about the rapidly evolving generative AI landscape. You'll collaborate closely with machine learning engineers, applied scientists, software engineers, and UX designers to build products that fundamentally change the creative development process for advertisers of all sizes. 
 
Key job responsibilities 
You will: 
<ul><li>Think big to define and drive end-to-end product strategy from conception through launch, working backwards from advertiser needs to build roadmaps and user experiences for image, video, and audio creation capabilities for TV, podcasts, Amazon.com and publisher sites.
</li><li>Dive Deep with applied scientists, ML engineers, and software engineers to translate the latest generative AI research into evidence-based, practical advertiser solutions.</li><li>Collect or create content benchmarks, define success criteria, and execute scientific evaluations in partnership with the organization.</li><li>Learn and be Curious to stay current on generative AI trends, research developments, and industry innovations to identify new opportunities and maintain a competitive advantage.</li><li>Write strategic documents including PRFAQs, vision documents, and technical requirements that align leadership and engineering teams on ambitious product goals</li><li>Collaborate cross-functionally with engineering, design, science, creatives, production teams, go-to-market specialists, and external partners to influence priorities and ensure seamless product execution and adoption.</li><li>Monitor and optimize product performance through data analysis, user feedback, and competitive intelligence to continuously improve AI model outputs and user experience</li></ul> 
About the team 
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Creative Experience team within Ads is leveraging AI to incubate a creative future where any advertiser&mdash;from emerging brands to global enterprises&mdash;can produce agency-quality video, image, and audio ad content in minutes instead of months. We are first-movers in the industry, democratizing creative access by launching generative AI solutions that act as a full-service creative agency in your pocket. We're investing heavily in the most advanced AI technologies, including latent-diffusion models for stunning visual generation, large language models for creative strategy and copywriting, agentic systems that orchestrate complex tasks, computer vision for product understanding, and multimodal synthesis for seamless audio-visual experiences. Every solution we build moves us closer to a state where creative quality is limited only by imagination, not budget or resources.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>3+ years of end to end product delivery experience</li><li>Experience integrating UX research into customer experience, team culture, development process, and design principles</li><li>Experience managing and deploying ML products</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience working with data and leveraging analytics to make decisions</li><li>Demonstrated high curiosity for and awareness of the latest generative AI tools and industry trends</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building and driving adoption of new tools</li><li>Experience in advertising, marketing technologies, or working with creative teams</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Product Manager-Technical - AI Creative Generation, Ads CreativeX

Macy's

<div>Be part of an amazing story

Macy&rsquo;s is more than just a store. We&rsquo;re a story. One that&rsquo;s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions&hellip;about inspiring stores and irresistible products&hellip;about the excitement of the Macy&rsquo;s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We&rsquo;ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Search Engine Optimization Category Specialist plays a hands-on, strategic role within the growing in-house SEO team. They partner with the Senior SEO Content Manager to drive organic growth by planning and executing strategic initiatives. The specialist collaborates closely with site merchandising and technology teams across multiple business units, providing SEO guidance for site changes. They bring expertise in both on-page and off-page SEO for e-commerce and demonstrate a strong track record of building cross-functional relationships and managing complex workflows.

What You Will Do
<ul>
<li>Collaborate with the SEO Senior Manager to drive organic growth through strategic planning and execution.</li>
<li>Partner with site merchants to develop a search experience informed by data and customer behavior.</li>
<li>Ensure SEO best practices are implemented in collaboration with site merchants to create an optimal search experience for users.</li>
<li>Work with the SEO team and agency to analyze data and identify issues and opportunities across the assigned business category.</li>
<li>Prepare and maintain insightful reports for internal teams and key stakeholders.</li>
<li>Contribute to cross-functional strategies and initiatives involving SEO, PR, SEM, Social, and Creative teams.</li>
<li>Apply strong problem-solving skills and effectively communicate complex SEO concepts to non-SEO audiences.</li>
<li>Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.</li>
<li>In addition to the essential duties mentioned above, other duties may be assigned.</li>
</ul>
Skills You Will Need

Collaboration: Skilled in working with leadership and cross-functional teams to drive organic growth through strategic planning and execution.

SEO Implementation: Proficient in ensuring consistent application of SEO best practices across merchandising to optimize user search experience.

Data Analysis: Strong ability to analyze SEO data and identify issues and opportunities for continuous improvement.

Reporting: Skilled in preparing clear and actionable SEO reports for internal teams and key stakeholders.

Cross-Functional Strategy: Experienced in contributing to integrated marketing strategies involving SEO, PR, SEM, Social, and Creative teams.

Communication: Ability to clearly explain complex SEO concepts to non-SEO audiences with strong verbal and written skills.

Project Management: Highly organized self-starter with excellent project and time management skills to manage multiple projects simultaneously.

E-Commerce SEO Expertise: Deep understanding of SEO specific to e-commerce platforms and strategies.

Analytical Tools: Experienced with SEO analytics tools such as Adobe Analytics.

SEO Platforms: Skilled in using SEO tools including Screaming Frog, Botify, SEOClarity, and Google Search Console.

Data Proficiency: Strong analytical skills with experience in Microsoft Excel or similar applications for data-driven decision making.

Who You Are
<ul>
<li>Candidates with a Bachelor&rsquo;s degree or equivalent work experience in a related field are encouraged to apply. 3+ years of experience in SEO either in-house or at an agency/consultancy.</li>
<li>Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.</li>
<li>Able to work a flexible schedule based on department and company needs.</li>
</ul>
What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:
<ul>
<li>Merchandise discounts</li>
<li>Performance-based incentives</li>
<li>Annual merit review</li>
<li>Employee Assistance Program with mental health counseling and legal/financial advice</li>
<li>Tuition reimbursement</li>
</ul>
Access the full menu of benefits offerings here.

About Us

This is a great time to join Macy&rsquo;s! Whether you&rsquo;re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people&rsquo;s lives.

Join us and help write the next chapter in our story - apply today! 


This job description is not all-inclusive. Macy&rsquo;s, Inc. reserves the right to amend this job description at any time. Macy&rsquo;s, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. 


DIGITAL00
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Additional benefit details are available at macysJOBS.com.</div>

Search Engine Optimization Category Specialist

Children's Apparel Network

<div>
 
 
 About Us:
 
 
 
 Our company is a leader in the kids and baby licensed apparel space.
 
 
 We create fun, trend-forward, and high-quality products that bring beloved characters and brands to life.
 
 
 Our team is passionate about design, collaboration, and innovation, and we&rsquo;re looking for talented creatives at all levels to join us.
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 Whether you&rsquo;re just starting out or bring years of experience leading design teams, we want to hear from you! We are hiring across multiple levels:
 
 <ul>
 <li>
 Assistant Designer &ndash; Entry-level creatives with strong design skills and a passion for kids&rsquo; fashion.
 </li>
 <li>
 Designer / Associate Designer &ndash; Designers with industry experience who can take projects from concept to production.
 </li>
 <li>
 Senior Designer &ndash; Leaders in creativity and product vision who can guide and mentor junior team members.
 </li>
 <li>
 Design Director/Merchandiser &ndash; Strategic creative leaders with a proven track record in baby apparel who can set the design direction, build collections, and partner cross-functionally.
 </li>
 </ul>
 
 
 Key Responsibilities (vary by level):
 
 
 <ul>
 <li>
 Research and interpret trends for kids&rsquo; and baby licensed apparel.
 </li>
 <li>
 Create concept boards, sketches, CADs, and technical design packages.
 </li>
 <li>
 Collaborate with cross-functional partners including merchandising, sourcing, and production.
 </li>
 <li>
 Present design concepts to internal teams and external partners/licensees.
 </li>
 <li>
 Ensure brand integrity, quality, and compliance across all products.
 </li>
 <li>
 Mentor junior team members (Senior + Director levels).
 </li>
 <li>
 Lead overall design direction and manage the design calendar (Director level).
 </li>
 <li>
 Present product to customers in collaboration with Sales team (Director level)
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Degree in Fashion Design or related field (or equivalent experience).
 </li>
 <li>
 Proficiency in Adobe Illustrator, Photoshop, and CAD.
 </li>
 <li>
 Strong understanding of kids&rsquo; and baby apparel, trends, and licensed products.
 </li>
 <li>
 Excellent communication, presentation, and organizational skills.
 </li>
 <li>
 Ability to work in a fast-paced, deadline-driven environment.
 </li>
 <li>
 Leadership experience required for Senior and Director levels.
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Be part of a creative, easy going, collaborative, and growing team.
 </li>
 <li>
 Work with globally recognized licenses and brands.
 </li>
 <li>
 Opportunities for growth across all levels.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 </ul>
</div>

Designer - All Levels(Assistant - Director)

Pragmatike

<div>
 
 Location:
 
 Cambridge, MA (Eastern Time / UTC -4) ﻿
 
 Relocation package available
 
 
 
 
 Relocation package:
 
 Available
 
 
 
 Start date:
 
 ASAP
 
 
 
 Languages:
 
 English (required)
 
 
 
 About The Role
 
 
 
 Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a
 
 Top 10 GenAI company by GTM Capital
 
 , founded by
 
 MIT CSAIL researchers
 
 .
 
 
 We are looking for an
 
 AI/ML Engineer (Entry Position)
 
 to join a growing AI engineering team building and deploying real-world AI systems used by
 
 Fortune 500 customers
 
 . You will work closely with senior AI, ML, and platform engineers on the development, optimization, and deployment of machine learning models in production environments.
 
 
 This role is intended for engineers with
 
 early professional experience
 
 who already have hands-on exposure to applied machine learning and want to grow quickly by working on real, production-scale AI systems.
 
 
 
 What Youll Do
 
 
 
 <ul>
 <li>
 Build, train, and evaluate machine learning models in collaboration with senior engineers
 </li>
 <li>
 Contribute to deploying ML models into production systems
 </li>
 <li>
 Work with structured and unstructured datasets to support training and inference pipelines
 </li>
 <li>
 Improve model performance, reliability, and scalability through experimentation
 </li>
 <li>
 Implement and maintain ML code primarily in Python
 </li>
 <li>
 Monitor model behavior and assist in debugging production issues
 </li>
 <li>
 Participate in model iteration, validation, and performance analysis
 </li>
 <li>
 Collaborate with backend and platform teams to integrate AI components into products
 
 
 </li>
 </ul>
 
 What Were Looking For
 
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field
 </li>
 <li>
 2+ years of professional experience working on AI, ML, or data-driven systems (industry, research, or applied internships)
 </li>
 <li>
 Excellent academic background, including strong grades and demonstrated university-level achievements
 </li>
 <li>
 Evidence of academic or professional excellence, such as scholarships, honors, awards, competitive programs, or impactful projects
 </li>
 <li>
 Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
 </li>
 <li>
 Hands-on experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (required)
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with deep learning, LLMs, or modern AI architectures
 </li>
 <li>
 Experience working with real-world, noisy datasets in production
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure)
 </li>
 <li>
 Exposure to MLOps tools, model deployment, or monitoring
 </li>
 <li>
 Publications, research experience, or participation in AI/ML competitions
 
 
 </li>
 </ul>
 
 Why This Role Will Pivot Your Career
 
 
 
 <ul>
 <li>
 Learn from MIT CSAIL&ndash;founded leadership and experienced AI engineers
 </li>
 <li>
 Work on AI systems deployed to Fortune 500 customers
 </li>
 <li>
 Apply strong academic and early professional experience to high-impact AI problems
 </li>
 <li>
 Clear growth path toward mid-level and senior AI engineering roles
 </li>
 <li>
 Join a well-funded, fast-growing AI startup with strong technical ambition
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary &amp; equity options
 </li>
 <li>
 Sign-on bonus
 </li>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 401(k)
 
 
 </li>
 </ul>
 ﻿
 
 
 
 
 Pragmatike
 
 is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 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.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 
 
 
</div>

AI/ML Engineer (Entry Position)

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