The Senior Director, Product Strategy will grow and maintain the Product Management discipline for ambitious clients, managing teams and projects, pitching new work, and advocating for product strategy and delivery best practices.
Compensation
The salary range for this position is $170,000—$200,000 USD
Responsibilities
Lead, develop, and nurture a world-class Product Strategy group for a digital agency environment
Evangelize and increase Product Management acumen across Huge
Drive Product Management best practices on client engagements
Define and manage product roadmaps on multi-phase, multi-track enterprise client engagements
Collaborate with user experience experts, visual designers, and engineers
Lead Adobe Target Developer partnering with product, design, analytics, AEM, MarTech and development teams to turn experimentation goals into scalable, measurable implementations.
Compensation
Pay Range: $160,000 - $200,000
Responsibilities
Lead end-to-end Adobe Target implementation for A/B tests, experience targeting, personalization, recommendations, multivariate tests and other Target-driven experiences.
Build and maintain front-end code for Target activities using JavaScript, TypeScript, HTML, CSS, responsive design, accessibility standards and cross-browser development practices.
Configure and support Adobe Target activities, audiences, profile scripts, mbox or parameter usage, QA links, activity prioritization, targeting rules and delivery safeguards.
Partner with product, design, analytics, AEM, MarTech and business teams to translate experimentation goals into technically sound, measurable implementations.
Provide technical leadership by guiding implementation decisions, aligning teams on standards, resolving ambiguity and influencing a practical path from idea to delivery.
Requirements
Bachelor’s or master’s degree in information technology, computer science, digital technology, design or equivalent experience
Nice to have: Adobe Target Certified Professional
Nice to have: Adobe Target Business Practitioner
Nice to have: Adobe Experience Cloud products
Landing Page Developer
Global University Systems (GUS) · Posted Nov 5, 2026
Responsible for building, QAing, and publishing landing pages in Landingi, extending functionality with custom HTML, CSS, and JavaScript, and ensuring tracking, integrations, and performance meet standards.
Responsibilities
Build, QA and publish landing pages in Landingi from design files, briefs and existing templates
Extend pages beyond native editor capability using custom HTML, CSS and JavaScript
Create and maintain reusable templates, sections and component libraries
Build dynamic landing pages with parameter-driven content
Ensure responsive behaviour across breakpoints and consistent rendering across browsers and devices
A mid-level CRM / Lifecycle Strategist (contractor) to support acquisition-forward lifecycle programs across email and SMS for the Australian market.
Responsibilities
Own lifecycle strategy. Map the prospect-to-customer journey from first touch through conversion and upsell, and prioritize programs by acquisition and revenue impact.
Build and optimize journeys. Design, configure, and QA automated email and SMS journeys, including triggered, transactional, and behavioral campaigns.
Segment and personalize. Use Contact Builder, filtered data extensions, and SQL queries to build dynamic audiences; use dynamic blocks and/or AMPscript for personalization.
Run a testing program. Plan and analyze A/B and multivariate tests on subject lines, content, timing, and offers; document learnings and roll out winners.
Own deliverability and compliance. Monitor sender reputation, list hygiene, and engagement; ensure compliance with the Australian Spam Act, NZ Unsolicited Electronic Messages Act, CAN-SPAM, GDPR/CCPA, and TCPA.
Requirements
Bachelor's degree in marketing, business, communications, or equivalent experience
Nice to have: Salesforce Marketing Cloud
Nice to have: Salesforce Marketing Cloud certification
Senior Adobe Target Developer responsible for implementing Adobe Target activities, front-end development, and technical problem solving to deliver measurable experimentation and personalization solutions.
Compensation
Pay Range: $130,000 - $160,000
Responsibilities
Develop and support Adobe Target activities for A/B tests, multivariate tests, experience targeting, personalization, recommendations and other Target-driven experiences.
Build front-end code for Target activities using JavaScript, TypeScript, HTML, CSS, responsive design, accessibility standards and cross-browser development practices.
Partner with product, design, analytics, MarTech and business teams to clarify requirements and deliver technically sound test implementations.
Troubleshoot activity delivery, audience qualification, front-end behavior, analytics integration, browser issues and production defects related to Target implementations.
Requirements
Bachelor’s or master’s degree in information technology, computer science, digital technology, design or equivalent experience
Nice to have: Adobe Target Certified Professional
Nice to have: Adobe Target Business Practitioner
Nice to have: familiarity with Adobe Experience Cloud
The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT’s marketing efforts, translating complex customer, campaign, and media data into high-value, predictive, and actionable insights.
Responsibilities
Predictive Growth Modeling: Apply advanced statistical methods, machine learning (e.g., classification, survival analysis), and clustering to predict customer lifetime value (LTV), model acquisition propensity, and identify customer churn risk.
Attribution & Mix Modeling: Support the development of Marketing Mix Modeling (MMM) and multi-touch attribution (MTA) frameworks to help business leaders understand and act on marketing efficiency issues.
Campaign Experimentation: Design and execute evidence-based research and scientific hypothesis testing (A/B and multivariate testing) around digital marketing campaigns, creative assets, and landing page personalization.
Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful, and intuitive visualizations and compelling narratives that drive strategy, action, and decision-making at executive levels.
Data Engineering & Pipelines: Collaborate with data platform and engineering teams to design, implement, and maintain robust data pipelines that integrate ad-platform APIs, web analytics, and offline sales data into a continuous, single-source-of-truth.
Requirements
Bachelor’s degree (or equivalent experience) in Analytics, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
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