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 ❯
agentic AI/LLM-powered workflows Design, develop, and implement robust and scalable agentic workflows utilizing LLMs and AI for various marketing applications, including: Automated content generation, optimization, and personalization Predictive analytics for campaign performance and optimization Customer journey orchestration and personalized messaging Real-time data analysis and actionable insights generation Drive the technical direction of the team, ensuring solutions 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 ❯
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 ❯
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 ❯
Qualifications: - Hands-on knowledge of customer engagement technologies such as Braze , Snowflake , Salesforce Marketing Cloud, or similar platforms. - Understanding of digital consumer engagement , marketing automation workflows , and data-driven personalization strategies . - Familiarity with agile methodologies such as Scrum and experience in project management or delivery planning. - Prior experience in supporting sales teams by developing proposals, estimates, and technical documentation. More ❯
Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of More ❯
Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of 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 ❯
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 ❯
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 ❯
and the agency as thought leaders. Martech Platform & Ecosystem Expertise: Platform Evaluation & Selection: Lead the evaluation, selection, and recommendation of martech platforms (e.g., CDPs, Marketing Automation, CRM, DMPs, Analytics, Personalization Engines, CMS) based on client needs, budget, and strategic objectives. Architecture Design: Advise on optimal martech architecture, ensuring seamless integration between platforms, data flow, and scalability. Data Strategy & Governance: Develop 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 ❯
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 ❯
knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in cloud architecture and implementation - Understanding of building personalization and recommendation systems using AI - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery and trade-offs of a product PREFERRED QUALIFICATIONS - Knowledge of More ❯
alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. 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 ❯
products. Transform, cleanse and enrich data to build self-serve data sources for use across analytical teams, the broader A&I organisation, LEGO Retail teams & other data consumers (ie personalization, digital consumer engagement). Develop self-serve dashboards and establish the use of these tools with LEGO Retail and broader Commercial colleagues to drive data driven decision making. Collaborate with More ❯
KPIs such as user engagement, satisfaction, and retention. Stay ahead of AI trends and user expectations to continuously evolve the Assistant's capabilities Competencies Strong understanding of conversational AI, personalization, and user experience design. Experience shaping product strategy in emerging technology domains, ideally involving AI or machine learning Data driven and strong foundation in product management principles and best practices More ❯
Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create frameworks to measure personalization, ABM program efficacy, and segment-level lift. Enablement & Collaboration: Support enablement efforts to educate stakeholders on performance models, KPIs, and use cases. Coordinate with Corporate Technology teams to ensure analytics More ❯
