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Web Optimization & Personalization Manager

PandaDoc·From $150,000

Job description

About the Position

We're seeking a Web Optimization & Personalization Manager to enhance user experience and drive growth at PandaDoc.

Responsibilities

  • Implement strategies for web optimization and personalization
  • Analyze user behavior and optimize web content accordingly
  • Collaborate with cross-functional teams to improve user engagement

Requirements

  • Proven experience in web optimization and personalization
  • Strong analytical skills and data-driven thinking
  • Ability to work in a fast-paced SaaS environment

We Offer

  • Competitive salary with an annual range of $150k OTE
  • Opportunity to work in a dynamic and innovative company
  • Potential for professional growth and development

About the Company

PandaDoc is a leading software company specializing in sales enablement tools. We empower businesses to create, send, and track sales documents, proposals, and contracts.

© PandaDoc. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Company Overview:PandaDoc empowers more than 40,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.Company Culture:We’re known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.Pandas work best when they’re happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.PandaDoc Tech Stack:Server part: Microservices, Python, Django, AsyncIO, NATS, Kafka, Amazon Web Services (AWS), PostgreSQL, Java, Hibernate, Spring Boot, RabbitMQ, Vertex, Docker.Client part: JavaScript, React, Redux, Redux-saga, Sass/styled components, webpack, jest/enzyme.Infrastructure: AWS (S3, Route53, EC2, VPC, KMS, ElasticCache, Cloudfront, Redshift and RDS), Terraform, Docker, Gitlab CI/CD, NATS, RabbitMQ, Kafka, NGINX, PostgreSQL.Mobile app: JavaScript, React, React Native, Redux, Mobile Web.

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