Responsibilities

• Own conversion rate optimization: Turbo-charge conversion rates across our self-serve and sales journeys, from the homepage to pricing to demo request. You will move the numbers that matter, including web conversion rate, sign-ups, and inquiry-to-pipeline.
• Run the web experimentation program: Design, prioritize, and ship A/B, multivariate, and split-URL tests across pandadoc.com. You will own the full lifecycle from hypothesis to analysis to rollout, and you will keep every test statistically sound.
• Optimize for agentic experience: Make pandadoc.com convert for AI agents as well as people. You will structure pages, content, calls to action and tailored conversion paths so that agents from tools like ChatGPT and Claude can interpret PandaDoc and complete journeys on a buyer's behalf.
• Partner on personalization: Work with the Web Experience Manager to shape and test personalization for direct, returning, and high-intent traffic. You own the experimentation engine behind personalization, and you shape the strategy together.
• Own the experimentation stack: Lead the evaluation and final decision on our experimentation and personalization tooling. You will keep measurement clean and trusted across the site, including first-party data and cookie-based test connections.
• Turn data into decisions, then scale them: Partner with our data team to build the reporting that ties web conversion to pipeline and revenue. You will share results and recommendations with collaborators and leadership, and you will turn one-off wins into playbooks the whole Marketing Team adopts, so we invest more where the data tells us to.
• Collaborate cross-functionally: Align with Growth, RevOps, SEO, Design, and Web Development so that winning tests ship, scale, and stick.

Requirements

• 3-5 years in conversion rate optimization, experimentation, or growth, preferably in B2B SaaS
• Proven track record owning an A/B testing program end to end, with measurable conversion lift you can speak to
• Hands-on experience with experimentation and analytics tools such as VWO, Optimizely, StatSig, Amplitude, Google Analytics 4, and Hotjar
• Strong statistical literacy, including significance testing, sample-size planning, and guardrail metrics
• Working understanding of how large language models read, cite, and act on web content, including answer engine optimization, structured content, and emerging standards like llms.txt and MCP
• Comfort in a modern web stack (Next.js and Contentful), with enough HTML, CSS, and JavaScript to reason about how a test is implemented
• Experience partnering with Design, Engineering, and Analytics to move from idea to live test

Preferred

• Experience in using Design, Engineering, and Analytics to move from idea to live test
• Familiarity with AI agents and how they read and act on web content
• Experience with personalization strategies and testing for high-intent traffic

Benefits

• Employees may be able to purchase company stock (or receive annual bonuses)
• Employees (and their families) may enroll in the company's medical, dental, vision, short & long term disability, life insurance, FSA and 401k plans.
• Employees will also receive 13.34+ hours of paid time off per month, 6 self care days, birthday PTO day, and 12 company paid holidays off per year.