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Conversion Rate Optimization Specialist ​/ Sr. CRO Specialist [AQ-13971

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: Aquent
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Conversion Rate Optimization Specialist / Sr. CRO Specialist [AQ-13971]

Aquent is partnering with a leading organization at the forefront of its industry, renowned for operating one of the world’s largest premium platforms. This is a pivotal moment as the organization embarks on a significant brand evolution. We are seeking a visionary and hands-on Experimentation Specialist to drive the core of our growth strategy. In this role, you won’t just run tests;

you’ll be instrumental in shaping the future of user experience, directly impacting key business metrics and influencing strategic decisions across the entire organization. Your expertise will unlock new insights, optimize user journeys, and accelerate our mission to deliver unparalleled value to a global audience.

Are you a seasoned experimentation professional ready to make a monumental impact? We are looking for a dynamic individual to take ownership of our day-to-day testing program. This is an incredible opportunity to build, execute, and refine a robust experimentation framework across diverse channels, including digital advertising, email and lifecycle marketing, landing pages, user onboarding flows, and creative assets. You will be the architect of insights, translating complex data into clear, actionable recommendations that directly fuel our growth initiatives and brand transformation.

This role is designed for a hands-on operator who thrives in a fast-paced environment. From day one, you’ll dive into our existing testing infrastructure, swiftly auditing current experiments, identifying areas for improvement, and launching more rigorously instrumented tests. You’ll be a central figure in our growth ecosystem, collaborating closely with teams across digital advertising, lifecycle marketing, search engine optimization, creative, data and analytics, product development, and brand strategy.

Your work will not only optimize performance but also foster a data-driven culture of continuous learning and innovation.

This position is open at two levels, reflecting varying depths of experience and scope of responsibility. Whether you’re a rising talent or a seasoned expert, your placement will be determined by your proven track record in testing platforms, analytical prowess, and demonstrated ownership of end-to-end experiments. The Senior level offers broader autonomy, higher expectations for statistical rigor, cross-channel synthesis, and mentorship opportunities.

What

You’ll Own And Drive
  • Develop and maintain a dynamic testing roadmap and hypothesis backlog spanning digital advertising, email/lifecycle marketing, landing pages, onboarding flows, monetization strategies, and creative assets. You will prioritize experiments using a clear framework, ensuring the highest-impact, highest-confidence initiatives run first.
  • Provide weekly, up-to-date views of ongoing tests, key learnings, and upcoming experiments to leadership and channel owners. You will establish and maintain optimal testing velocity, ensuring a steady stream of concurrent, non-interfering experiments.
  • Design and launch robust A/B, multivariate, and, where appropriate, holdout and geo-based experiments. This includes meticulous attention to proper control groups, adequate sample sizes, and clearly pre-defined success metrics. You will personally set up and quality assurance tests within various industry-standard experimentation platforms.
  • Partner closely with Data & Analytics and Engineering teams to ensure precise tracking, event instrumentation, and attribution prior to every launch. You will define primary, secondary, and crucial guardrail metrics for each test, articulated in plain, business-relevant terms.
  • Conduct thorough analysis of test results utilizing analytics platforms, experimentation dashboards, and data warehouse cuts. You will skillfully distinguish between statistical significance and business significance, holding a high bar for both. For every completed test, you will deliver a structured recommendation—whether to ship, iterate, or kill—complete with clear rationale and the next experiment queued for deployment.
  • Translate winning results into concrete, channel-specific actions: refining campaign strategies for digital advertising,…
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