CRO expert with coding skills

Remote Full-time
Here's a job description for you:

Conversion Rate Optimization (CRO) Specialist – B2B SaaS

About the Role

We're looking for a data-driven CRO Expert with hands-on coding skills and deep experience optimizing B2B SaaS platforms. You'll own the full experimentation lifecycle — from hypothesis to implementation to analysis — driving measurable improvements across the funnel.

Key Responsibilities

Design and execute A/B and multivariate tests across landing pages, onboarding flows, pricing pages, and in-app experiences

Analyze user behavior using heatmaps, session recordings, funnel analytics, and cohort data to identify friction points

Write and deploy front-end code (HTML, CSS, JavaScript) to implement experiments without relying solely on engineering bandwidth

Collaborate with Product, Marketing, and Sales to align CRO initiatives with pipeline and revenue goals

Build and maintain a prioritized experimentation roadmap using frameworks like ICE or PIE scoring

Interpret statistical results and communicate findings clearly to both technical and non-technical stakeholders

Optimize key SaaS metrics: trial-to-paid conversion, MQL-to-SQL rate, demo request volume, and activation rates

Conduct qualitative research — user interviews, surveys, customer feedback synthesis — to inform test hypotheses

Required Qualifications

4+ years of CRO experience, with at least 2 years specifically in B2B SaaS environments

Proficiency in front-end development: HTML, CSS, JavaScript (React experience a plus)

Hands-on experience with experimentation platforms such as Optimizely, VWO, LaunchDarkly, or Google Optimize

Strong command of analytics tools: Google Analytics 4, Mixpanel, Amplitude, or similar

Experience with heatmap and session tools: Hotjar, FullStory, Microsoft Clarity

Solid understanding of statistical significance, confidence intervals, and experiment design

Familiarity with CRM and marketing automation platforms (HubSpot, Salesforce, Marketo)

Nice to Have

Experience with product-led growth (PLG) motions and self-serve SaaS funnels

Familiarity with SQL for pulling and segmenting behavioral data

Exposure to multi-touch attribution modeling

Understanding of Account-Based Marketing (ABM) and its interplay with conversion optimization

What Success Looks Like

Within 90 days, you've shipped at least 3 experiments, established a testing cadence, and identified 2–3 high-impact funnel gaps. Within 6 months, you've delivered measurable lift in at least one core conversion metric tied to revenue.

Want me to tailor this further — e.g., for a specific seniority level, company stage (startup vs. enterprise), or a particular part of the funnel?

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