Jobs / United States / Pandadoc INC

Pandadoc INC

Web Optimization & Personalization Manager

Remote (USA) · Remote · US only Posted 1 month ago

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Skills this job asks for

A/B testingSEOLLMsLeadershipElectronic health recordsStatistics

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Where you can work from

United States only

Based on the listing's location: Remote (USA).

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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.

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