
Web Optimization & Personalization Manager
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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