PandaDoc is looking for a data-driven, experiment-obsessed Web Optimization & Personalization Manager to grow conversion across every pandadoc.com buyer journey, for the people who visit our site and the AI agents that increasingly arrive on their behalf.

You will own conversion rate optimization and the web experimentation program for our self-serve and sales journeys. You will turn traffic into pipeline and revenue through sharp hypotheses, clean test design, and decisions backed by trustworthy data. This is a hands-on role on the Web Experience Team, inside Marketing.

We are making a bold bet: agents are becoming real users of our platform, preparing and orchestrating agreements for our customers, and our website has to win for both audiences.

You will partner closely with the Web Experience Manager on personalization strategy, with the Growth Team on shared experiments, our Sales Team on pipeline expansion, and with the SEO Team on LLM conversion. You will be a key stakeholder in website experimentation tooling and craft our experimentation methodology.

In this role, you will:

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.

About you:

• You embody our EPIC values. You hold a high bar for Excellence in experimental rigor, you find Purpose in revenue and pipeline results, you bring Innovation by treating agents as a first-class audience, and you drive Collaboration across technical and non-technical teams.
• You are experiment-obsessed and hypothesis-driven. You start with data, you size the opportunity before you build, and you kill tests that do not work.

• You are fluent in statistics and skeptical of noisy wins. You understand significance, power, sample size, and guardrail metrics, and you defend a result before you ship it.
• You are curious about how AI agents read and act on the web. You see the shift to agentic traffic as an opportunity to own, not a threat to manage.
• You are self-sufficient and proactive. You do not wait for permission to propose a better page, a sharper test, or a cleaner measurement plan.
• You communicate results clearly. You can walk an engineer through your test design and a VP through your revenue impact in the same afternoon.

Qualifications:

• 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

The annual range for this role is $150k OTE, which includes both base and variable pay.

Application deadline 08/30/26