About The Position

The Marketing, CRO Specialist – Testing and Optimization is a hands-on individual contributor responsible for turning personalization strategy into shipped, measured growth. The role owns the audience playbook, testing backlog, and day-to-day digital execution that make personalization consistent and effective across customer journeys. It does not own strategy or manage people. The specialist maintains organization-wide audience definitions and governance, partners with the Personalization & Testing Manager to turn strategy and roadmap into prioritized tests, and coordinates requests across marketing, product, customer experience, and analytics. The role designs, builds, quality-checks, and launches experiments and personalized experiences across web, app, and other assigned owned channels; measures results; and scales successful experiments into ongoing personalization. It also reports program impact and works with Creative Services on content variants and experiment readiness.

Requirements

  • 4–6+ years in personalization, experimentation/CRO, lifecycle/CRM, or digital optimization roles, with a track record of shipping tests and personalized experiences.
  • Hands-on experience building and running A/B and multivariate tests and personalization campaigns on platforms such as Optimizely, Adobe Target, Dynamic Yield, or similar.
  • Working fluency with segmentation and CDPs, such as Salesforce Data Cloud, Segment, Sitecore, or Zeta Global, and ability to turn audience criteria into governed, production-ready segments.
  • Strong analytical skills and comfort pulling and interpreting data in GA4, Amplitude, Looker, or similar tools.
  • Knowledge of experimental-design fundamentals, including significance, guardrails, and holdouts.
  • Excellent documentation, organization, and cross-functional communication skills, with ability to run a backlog and keep partners aligned without day-to-day management support.
  • Ability to use AI tools responsibly while maintaining governance, privacy, accuracy, and brand standards.
  • Authorization to work for any employer in the U.S.; sponsorship or takeover of employment visa sponsorship is not available.

Nice To Haves

  • Experience in fintech, retail, eCommerce, or financial services.
  • Familiarity with identity and signal governance, event taxonomy, and data-quality practices that support personalization.
  • Experience with predictive segmentation or AI-assisted decisioning.
  • Front-end familiarity with HTML, CSS, or JavaScript for test QA and lightweight personalization builds.
  • Familiarity with SQL and Python for lightweight ETL workflows, exploratory data analysis, and data transformation.

Responsibilities

  • Maintain the enterprise audience playbook as the source of truth for segments, eligibility rules, signal sources, and naming and taxonomy.
  • Build, QA, and govern audiences and segments in the CDP and personalization platform, translating criteria into reliable, reusable production segments.
  • Enforce governance standards, including audience minimums, frequency and fatigue limits, signal hygiene, and quality reviews for high-impact rollouts.
  • Partner with CRM teams to enhance enterprise audience strategies and ensure personalization complements existing audience-building processes.
  • Partner with the Personalization & Testing Manager to translate strategy and roadmap into a prioritized, sequenced backlog of tests and use cases.
  • Run intake and triage for personalization requests from marketing, product, CX, and analytics, keeping stakeholders aligned on current and upcoming work.
  • Document hypotheses, decision logic, targeting rules, and outcomes to connect strategy with execution and retain learnings.
  • Identify high-impact personalization opportunities across the customer journey and work with cross-functional stakeholders to prioritize them.
  • Design, build, QA, and launch A/B, multivariate, and personalization campaigns across web, app, and other assigned owned channels.
  • Define success metrics, guardrails, and holdout or incrementality approaches for tests; analyze results and report lift with statistical rigor.
  • Scale winning experiments into durable always-on personalization with documented targeting and measurement expectations.
  • Track program-level conversion, engagement, and revenue impact and produce regular reporting connecting personalization activity to business growth.
  • Partner with Creative Services on personalization content strategy, content variant requirements, audience sizing, and traffic thresholds to support adequately powered experiments and targeted content.
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