a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more More ❯
AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D More ❯
them Identify and define requirements from multiple stakeholders across the business, and lead the design of general-purpose machine learning solutions that power features like content understanding, moderation, and personalization Set up and conduct large-scale experiments to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively More ❯
Familiarity with other Adobe Cloud products, such as Adobe Commerce/Magento, AEP and Adobe Target. Experience working with GraphQL. Familiarity with AWS cloud services. Experience with web analytics, personalization, and A/B testing. What's initfor You Reveal great tech solutions Join the team ofexperts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client More ❯
CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI More ❯
data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption. Partner with Product More ❯
and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building the next wave of recommendation and personalization capabilities across M365 Copilot experiences. - In addition to driving innovation, you'll help grow the team's technical depth by mentoring and developing talent. Qualifications (Text Only) Required Qualifications: - A More ❯
content delivery. In this role you will get to Design and implement enterprise-grade, composable commerce frontends using React, Next.js, and headless CMS platforms, ensuring AI-ready architectures for personalization, search, and automation. Lead technical discovery and solution design for headless and composable commerce projects, integrating AI/ML-powered services (e.g., dynamic pricing, chatbots, predictive search). Architect API More ❯
culture of data driven customer-centricity across all departments. Own the design and optimization of customer journeys across digital and physical channels. Drive innovation in customer engagement through technology, personalization, and proactive service. Present insights and strategic recommendations to executive leadership and the board. What You Will Bring: A commercial mindset, focused on retaining and expanding TN customer base. A More ❯
years of experience with data analytics tools (e.g., Google Analytics, Tableau) and leveraging data to drive decisions. • Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. • Experience with AI, machine learning, or other advanced technologies used in marketing automation and personalization. • 10+ years of experience in working closely and collaboratively with globally distributed More ❯
ideally in audio processing, plugin development, or interactive creative tools. Web/Cloud Integration : Familiarity with hosted services powering modern creative tools, including identity and login services, recommendation and personalization systems, analytics and instrumentation, A/B testing, feature flagging, and progressive rollout infrastructure. AI-powered Features : Demonstrated experience integrating AI/ML into real-world user-facing products - e.g. More ❯
ideally in audio processing, plugin development, or interactive creative tools. Web/Cloud Integration : Familiarity with hosted services powering modern creative tools, including identity and login services, recommendation and personalization systems, analytics and instrumentation, A/B testing, feature flagging, and progressive rollout infrastructure. AI-powered Features : Demonstrated experience integrating AI/ML into real-world user-facing products - e.g. More ❯
operations, performance analytics, or Martech leadership roles. Proven success leading integrated revenue operations or performance marketing functions in global organizations. Deep knowledge of marketing funnel dynamics, attribution, ABM, digital personalization, and campaign operations. Strong understanding of Martech ecosystems including CDPs, CRM, MAPs, testing platforms, and analytics stacks. Exceptional stakeholder management and executive communication skills. Additional Preferred Qualifications: Experience working in More ❯
storage Support full end-to-end testing with QA and development teams to prevent security or data issues Create services to manage data ingestion for model training and dynamic personalization Implement access controls, password policies, and SSO using existing client authentication models Secure APIs and data pipelines with encryption and appropriate authentication measures Required Skills and Experience Proven experience in More ❯
goals and commitment to excellence. Learner Experience Optimization Analyze learner feedback and performance data to continuously improve the learning experience. Innovate and implement solutions that enhance engagement, accessibility, and personalization of learning products. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. •Proven track record of leading technology evaluation and implementation projects More ❯
frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization More ❯
technical stakeholders. Ability to thrive in a fast-paced, collaborative environment focused on delivering exceptional solutions. Experience with additional Salesforce products like Sales Cloud, Service Cloud, Marketing Cloud, Marketing Personalization, Loyalty Management, and Commerce Cloud will be good to have. Additional Salesforce certifications are desirable, including Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist. Familiarity with cloud platforms More ❯
ensure alignment and integration across product lines. Data and Analytics: Utilize data analytics to inform product decisions, optimize performance, and identify new opportunities. Leverage eCommerce-related data to drive personalization, targeting, and promotional strategies. Explore opportunities for data monetization while ensuring compliance with privacy regulations. Market and User Insight: Integrate market research into product strategy, staying ahead of industry trends More ❯
scale. You'll work closely with external vendors, internal engineering and data teams, and cross-functional stakeholders to to build secure, scalable, and highly performant systems that support campaigns, personalization, reporting, and partner value creation across sport. This role is ideal for a technical product manager who thrives on solving backend data challenges, enjoys working at the intersection of engineering More ❯
and automation to deliver measurable growth. Full-Stack Martech Authority. Architect and operate a modern AI-driven marketing technology stack. Vet, pilot, and integrate AI tools for creative generation, personalization, audience targeting, and performance optimization. Campaign Development Using AI. Ensure that all brand, product, and media campaigns are developed and executed using various AI platforms, from creative ideation to audience More ❯
retention, and product feature development. Define and deliver reporting frameworks, dashboards, and strategic insight packs for internal stakeholders and executive leadership. Partner with marketing to inform experimentation strategies, messaging personalization, and audience growth initiatives. Act as a champion for insight-led decision-making across the business. Qualifications 8+ years in data strategy, marketing analytics, customer insights, or a related field More ❯
CRM Manager with proven experience to join our dynamic team. The key focus is to increase frequency and lifetime value by leveraging customer insights and trends to deliver relevant personalization, collaborating with Paid Marketing to maximize impact across all touchpoints. The CRM Manager will develop and implement our email, SMS, and app retention strategies across multiple sites, managing one direct More ❯
marketing and user acquisition teams You'll be a proactive self-starter, driving innovation with a product focus You'll be working on our production ML models driving product personalization and recommendations You'll be exploring new ideas and optimization projects, and building MVPs to prove value You'll be diving into a range of data across marketing and product More ❯
connection of strategic goals to engagement priorities to channel specific strategies (e.g. social, CRM, website, paid media, apps, rep-delivered and more) This includes building connected ecosystems and enabling personalization at scale to maximize customer impact and drive business results. Sets expectations for how the segment/audience profile fits into the project and how it helps set the stage More ❯
connection of strategic goals to engagement priorities to channel specific strategies (e.g. social, CRM, website, paid media, apps, rep-delivered and more) This includes building connected ecosystems and enabling personalization at scale to maximize customer impact and drive business results. Sets expectations for how the segment/audience profile fits into the project and how it helps set the stage More ❯
