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We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of an ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS services , Airflow and databricks to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the company.
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.

What youll do

Ensure communications are consistent and on-brand for Professional Hair, Beauty Retail, and Travel Retail divisions.

Edit Word and PDF files; mark/annotate changes for artwork rounds; promptly file completed projects. MUST be familiar with tracking and notation tools on Microsoft Word and Adobe Reader.

Proofread and edit copy for primary and secondary packaging, i.e. description/romance, usage directions, ingredients, UPCs, and other compliance elements for global approval.

Proofread materials according to INTL protocols, regulation and distributor information.

Review translations based on source files. Occasionally route for stakeholder review and approval.

ERP data support, maintain department data on ERP system.

We are looking for a Senior Fullstack Engineer with a strong backend orientation to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

Were looking for a passionate and experienced Brand and Marketing Designer to join our Corporate Marketing Department. You will be working within the internal creative agency - the creative engine for user interfaces, internally and externally. You will maintain and evolve the design and style guide of our marketing campaigns, and design visual identities in print and digital formats across all marketing channels. Youll partner with a marketing manager, analysts, video creators, and writers to create clear messaging and delightful visual interfaces within our brand identity to impact growth and demand generation.
So, what will you be doing all day?
Work closely with marketing managers, enforce corporate brand identity while developing graphic themes for campaigns and events, design data reports, dive into email and marketing channels strategies, and help develop and implement our brand identity and tone of voice through data viz in various formats - Infographic reports, motion graphics, illustrations, email design, Social Media, full-scale campaigns, and more. Youll develop designed templates for internal use cases, and search for new design tools, and processes that support creativity, quality, velocity, and efficiency in design execution.
Responsibilities:
Develop and implement our brand identity, tone of voice, and design strategy through marketing channels, events, reports, data visualization, Social media, posts, etc, by using illustration, infographics, image-making, typography, and motion graphics.
Implement AI tools in design workflows to elevate quality and productivity.
Create visual solutions and creative thinking for campaigns to increase growth, user engagement, and impressions on various platforms.
Work with our Marketing Managers and provide creative and design services daily.
Work with our insights team and provide creative and accurate data visualizations.
Create corporate campaign visual content across marketing channels to influence user engagement and clear storytelling through data and design.
Support design operations and infrastructure.
Research and implement design tools for designers and non-designers that impact creativity, velocity, and efficiency.

Were looking for a Product Designer (maternity leave replacement) to own & create an amazing user experience across our platform interfaces.
You will play a crucial role in shaping the user experience and visual identity of our consumer-facing product flows. You will collaborate with cross-functional teams, including product managers, engineers, and marketers, to create innovative and intuitive designs that meet both user needs, brand look and feel, and business goals. The ideal candidate is a creative thinker, a problem solver, up for experimenting to increase conversion rates and a strong advocate for user-centered design principles. You will have an eye for clean and artful design, possess superior UI skills, and be able to translate high-level requirements into interaction flows and transform them into beautiful, intuitive, and functional user interfaces.
The Product Designer will report to the Senior Director of Brand Design within the Marketing Division, and have a dotted line to the Growth Teams product managers.
So, what will you be doing all day?
Your role as a Product Designer in Marketing means your daily responsibilities may include:
Lead complex user flows with ownership over the design for top to bottom-of-the-funnel user experience.
Collaborate with product management and engineering to define and implement data-driven solutions for the product direction, visuals, and experience that drive growth.
Work to analyze user data and behavior to identify growth opportunities and potential bottlenecks, and follow user testing results to optimize the UXUI design solution.
Create wireframes, user flows and process flows to effectively communicate interaction and the brands look and feel and product design system.
Create user flows across various platforms: IOS, Android, desktop, mobile-web.
Integrate the brands visual language and tone of voice into user interfaces
Execute all visual design stages from research, through wireframing to final hand-off to engineering.
Present and defend designs and key milestone deliverables to peers and executive-level stakeholders
Create or guide illustrations and micro-animation design to execute a better flow and delightful experience
Stay updated on the latest UX/UI design trends, best practices, and industry standards to create delightful and effective user experiences.

to grow and optimize our CRM and loyalty activities across international e-commerce markets

This hands-on role is ideal for someone who takes initiative, learns quickly, and turns ideas into action. You will play a central role in executing email marketing, customer lifecycle campaigns, and loyalty initiatives that drive engagement, repeat purchases, and long-term customer value

Working closely with cross-functional teams, you will bring retention strategies to life while continuously identifying opportunities to improve performance and the customer experience


What youll do

Retention Strategy, CRM & Email Marketing

Take ownership of driving and executing the international retention strategy across key e-commerce markets.

Plan, coordinate, and execute email marketing campaigns.

Build and optimize customer segments based on behavior, purchase patterns, and lifecycle stage.

Develop and optimize automated customer journeys and lifecycle flows.

Monitor campaign performance and identify opportunities for improvement through testing, personalization, and data analysis.

Loyalty Program

Coordinate and support the day-to-day management of the loyalty program.

Help develop and execute initiatives that drive member acquisition, engagement, and repeat purchases.

Support the implementation of member benefits, rewards, and promotional activities.

Align loyalty initiatives with the broader commercial calendar and marketing campaigns.

Performance & Optimization

Analyze KPIs (retention rate, LTV, repeat purchase rate, revenue contribution).

Translate data into actionable insights and continuous optimization.

Build reporting frameworks and dashboards to track performance.

Cross-Functional Collaboration.

Work closely with marketing, design, and e-commerce teams to deliver coordinated campaigns.

Brief creative assets and follow up on timelines, approvals, and execution.

Take ownership of assigned projects and ensure initiatives move forward efficiently.

We are looking for a Senior Fullstack Engineer with a strong backend orientation (80%) to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

Required Data Scientist Team Manager
A day-to-day role as a Team Manager includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are looking for a Backend Engineer to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Backend Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

Responsibilities:
Lead product and feature launches end-to-end: narrative, naming, enablement, web, press, and the launch moment itself.
Own analyst relations, including managing relationships with firms, coordinating briefings and inquiries
Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts
Own competitive intelligence, monitoring market trends and adapting messaging to stay ahead in our space
Collaborate closely with Product, Sales and Marketing to ensure a unified narrative across the funnel
Build the sales enablement layer from the ground up: pitch decks, demo narratives, battle cards, one-pagers, discovery guides, and customer proof points.

We are looking for the person who will stand up Jazz's data platform end to end - ingestion, modeling, warehouse, orchestration, cost control - and then turn it into the numbers the company actually runs on: the executive metric set, the GTM and pipeline view, and delivery reporting for R&D.

Owning the platform is a huge part of this role, but success is about more than just keeping pipelines green. You'll partner directly with execs, R&D, and sales to agree on core metric definitions, then make sure everyone across the company can easily get the data they need on their own.



What you'll do

Build the platform from zero. Design and implement the databases, ELT/ETL pipelines and orchestration on a medallion architecture that other people can safely build on top of.
Own the gold layer as the single source of truth. Modeled, tested, documented and trusted, the layer the company argues from, not about.
Define the company's metrics. Work with leadership to define organizational KPIs, instrument them, and keep the definitions honest as the business changes.
Build dashboards that executives actually use. Take complex, multi-source data and make it legible to a C-level reader in thirty seconds.
Serve every BI consumer at Jazz. Sales and GTM (pipeline, funnel, forecast, Salesforce data), R&D (delivery, quality, product usage), Finance and Operations.
Run it in production, at scale. Reliability, data quality, alerting and monitoring, including active tracking and reduction of infrastructure and warehouse costs.
Set the standards. Modeling conventions, testing, documentation, access control, and how BI requests get intake and prioritized.
Make things happen across the org. Present, persuade, and drive alignment between stakeholders who define the same metric three different ways.
Work with AI as a multiplier. We expect heavy, deliberate use of AI in how you build, model, investigate and enable others.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team.
As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights.
The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure.
Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day-to-day of a Product Data Science Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will help answer clients business questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

Were looking for a Data Engineer with a strong applied ML focus to join our R&D department!
Why is this role so important?
Our Retail Intelligence products help leading brands and retailers understand how their products, brands and categories perform online. Behind them is data collected from retailers and marketplaces around the world: product pages, brands and categories, each described differently by every site.
Your mission is to turn that data into a single, trusted view: classifying products into a unified taxonomy, normalizing brands and attributes, and matching the same entities across sources. And doing it at scale, across a catalog of more than a billion records that keeps growing and changing every day.
This is an applied ML role within data engineering. Youll build with LLMs, agentic frameworks such as LangGraph, embeddings and classical ML, and ship them as production pipelines. Its hands-on work, not research for its own sake, but it takes a real understanding of classification and NLP methods to choose the right tool for each problem and prove that it works.
So, what will you be doing all day?
Your daily responsibilities may include:
Designing and building LLM-powered and ML-based pipelines that classify, normalize, structure and match product, brand and category data
Building agentic workflows (LangGraph or similar) that automate complex data tasks end to end
Choosing the right approach for each problem (LLMs, embeddings, fine-tuned models, classical classifiers or rules), balancing accuracy, cost and latency
Scaling solutions to run efficiently over billions of records, using Spark, Databricks and our cloud infrastructure
Building evaluation frameworks: ground-truth datasets, labeling processes, quality metrics and ongoing monitoring
Taking solutions from POC to production, and owning them after launch
Working closely with Product to define requirements and shape the roadmap
Collaborating with data engineers, data scientists and other R&D teams on infrastructure and best practices.

Required Senior Security Researcher
Description
About us
We are building autonomous AI hackers that think like the world's best offensive security experts, act like them, and then help fix what they find before the real ones do. If this mission speaks to you, come defend the world's software: autonomously, continuously, and in-depth.
About the role:
This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. As an Security Researcher, you will push the boundaries of what autonomous agents can achieve.
Your goal is to conduct cutting-edge research into novel attack vectors and vulnerabilities, using those insights to both sharpen our AI and lead the industry conversation on AI-driven security. Youll work alongside a tight-knit team building excellent software in the security space.
Responsibilites
Original Research: Develop new attack strategies and offensive testing techniques for web, network and AI targets, and translate real-world knowledge into improvements for the AI agent
Thought Leadership: Produce high-quality technical content, including research papers, stage demonstrations, or technical blog posts that showcase our unique capabilities and security philosophy.
Public Advocacy: Represent our research at major security conferences and industry events.
AI Enhancement: Part of the team improving the AI hacker to make it more dangerous and creative.
Collaboration: Work closely with AI and engineering teams to continuously improve agent capabilities and ensure research findings are integrated into the product.