This Architect role sits within our client’s Architecture team, supporting its Mobility and Retail business in the Americas. The focus is on Connected Customer, Marketing, Data, Analytics and AI, as well as Solution and Integration Architecture.
Responsibilities
Translate customer, business, marketing and operational requirements into solution architectures, architecture models, documentation and decision records for products, projects and platforms.
Shape architectures that support connected customer journeys across digital channels, retail sites, loyalty, CRM, marketing activation, personalisation, customer service and partner ecosystems.
Define how customer identity, consent, preferences, behavioural data, transaction data and campaign interactions are connected and used responsibly across the customer ecosystem.
Design reusable customer and marketing capabilities, including customer profiles, segmentation, loyalty, offers, campaign orchestration, personalisation, customer analytics and measurement.
Architect data, analytics and AI solutions, including trusted data products, semantic models, customer 360 capabilities, advanced analytics, machine learning and generative AI.
Requirements
Fluent English, written and spoken
Nice to have: Salesforce (Marketing Cloud, Data Cloud, Service Cloud)
Lead the technical vision, architecture and roadmap for the MarTech platform, build AI-first systems, mentor team, and drive integrations and data pipelines.
Locations (2)
Menlo Park, California, United States
New York, New York, United States
Compensation
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$166,000—$195,000 USD
Responsibilities
Own the technical vision, architecture and roadmap for the MarTech platform
Design & build AI first systems to streamline operations
Set the standard for how marketing data is modeled, governed and moved between tools
Partner with Marketing, product, data engineering and data science leaders to translate business goals into scalable, privacy-first technical solutions
Lead the design and delivery of complex integrations, custom scripts and pipelines
Guide architecture, delivery and optimisation across Adobe Experience Platform, Adobe Target and Adobe Analytics, aligning platform roadmap with business priorities and customer outcomes.
Responsibilities
Define platform architecture, technology roadmaps and guardrails across Adobe Experience Cloud
Guide customer data, identity, segmentation and activation solutions that support personalised digital experiences
Integrate Adobe tools with enterprise systems while meeting privacy, security and governance requirements
Improve experimentation, analytics and performance monitoring to deliver actionable customer insights
Support Agile planning, backlog refinement, testing strategies and complex issue resolution
Lead strategy, coordination and performance of ACA’s owned customer channels across multiple business lines, driving engagement, retention, loyalty, conversion and lifetime value.
Compensation
Competitive annual salary; the starting base compensation for this position is: $76,195-$118,921*
Responsibilities
Advance the CRM and owned-channel strategy across Travel, Insurance, Car Care, and other relevant business lines.
Own the roadmap for translating the CRM vision into a practical roadmap and prioritized delivery plan.
Represent CRM and owned channels in cross-functional planning, campaign development, and senior stakeholder discussions.
Partner with the agency to translate business priorities into an actionable CRM strategy.
Champion a customer-first approach while ensuring activity supports commercial objectives, brand standards, and regulatory requirements.
Lead lifecycle marketing strategy and execution for Auction.com’s marketplace, driving engagement, education, and transactions across owned and paid channels.
Compensation
The good faith base salary [or wage] range for this role at the time of posting and hire is $180,000 – $190,000 per year.
Responsibilities
Partner with demand generation and upper-funnel programs to create a seamless customer experience through the middle and lower funnel stages.
Manage end-to-end journeys across paid, owned, earned, and syndication channels to nurture, educate, and convert high-intent buyers.
Apply a customer-centric approach to audience and segmentation analytics.
Partner with the data science team to leverage models that inform campaign targeting, messaging, nurturing, and conversion strategies.
Develop differentiated approaches for key buyer personas, including first-time buyers and experienced investors.
Requirements
Bachelor's degree or equivalent practical experience
Lead strategic engagements with marketing leaders and partner with CMOs, heads of growth, marketing analytics, audience strategy, marketing technology, and media on high-impact initiatives to drive AI-enabled marketing solutions.
Responsibilities
Lead strategic engagements with marketing leaders
Partner with CMOs, heads of growth, marketing analytics, audience strategy, marketing technology, and media
Translate marketing outcomes into vision and solutions
Build for the business using Snowflake's AI and data capabilities
Scale through repeatable assets
Requirements
Bachelor's degree in marketing, business, statistics, economics, computer science, or equivalent practical experience
Marketing Solution Engineer Specialist at Salesforce, focusing on AI-driven marketing technology and customer engagement solutions.
Responsibilities
Take on complex business challenges, using research and business assessment to define problems, generate ideas, identify opportunities, and recommend actionable next steps.
Collaborate with business stakeholders and technical teams to develop comprehensive solutions and customer roadmaps for Agentforce Marketing and Data360.
Showcase Agentforce Marketing and Data360 through compelling software demonstrations and rapid prototyping, and deliver executive-level presentations.
Construct future-state customer journey strategies and long-term technology roadmaps, partnering with the customer, Account Executive, and Partners on discovery, analysis, and data-activation recommendations.
Requirements
Master of Science, Computer Science Degree or equivalent
Nice to have: Knowledge of programming languages
Nice to have: At least two years of hands‑on experience with Agentforce marketing solutions
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