MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Senior Product Manager - AI & Personalization

Paula's Choice Skincare

Full-time
USA
$160k-$170k per year
product management
customer experience
machine learning
ab testing
google analytics
Apply for this position

How you’ll have an impact at Paula’s Choice:

At Paula’s Choice, we pride ourselves in providing an inspiring DTC destination for skincare lovers and truth seekers. To accelerate our growth in the US and AU, we are searching for a Senior Product Manager focused on AI and Personalization who is passionate about building innovative, data-driven customer experiences that drive retention, loyalty, and lifetime value.

This role will have a significant impact on our business by leading the strategy and execution of AI-powered personalization across our ecommerce and digital ecosystem. From guided shopping and predictive recommendations to personalized post-purchase journeys, you will develop and scale products that make every interaction feel uniquely tailored.

You will partner closely with UX, Data Science, CRM, Engineering, and Creative teams to deliver customer-centric solutions that optimize conversion, AOV, and LTV. Your strategic mindset and analytical skills will help identify high-value opportunities, while your product leadership will bring them to life through Agile workflows. Your curiosity about AI and evolving digital trends will allow Paula’s Choice to stay ahead of the curve in how customers discover, engage with, and repurchase our products.

As Senior Product Manager, a typical day might include a mix of the following:

  • Leading the product strategy for AI-driven personalization across channels (site, email, SMS, loyalty, and marketplaces)

  • Developing and launching guided shopping and recommendation experiences powered by machine learning

  • Partnering with data science to translate algorithms into customer-facing features that improve relevance and conversion

  • Evaluating customer journeys and identifying opportunities for automation and tailored engagement

  • Collaborating with CRM and Engineering to integrate personalization into marketing campaigns, post-purchase flows, and membership experiences

  • Creating business cases for personalization initiatives, measuring impact with KPIs (conversion, AOV, LTV, retention), and iterating to optimize results

  • Researching and benchmarking competitors, AI tools, and personalization technologies to ensure Paula’s Choice remains at the forefront of innovation

  • Breaking down business requirements into user stories, and working with engineering to deliver high-quality product experiences

The Details: 

  • Location: Fully remote, US based 

  • Hours: Typical PST business hours, some flexibility required

  • Physical requirements: Ability to handle both long periods of sitting and long periods of screen time

  • Travel requirements: Up to 10% 

What you’ll bring to the table:

  • 5+ years of product management experience, with at least 2+ years focused on AI-driven personalization, data products, or ecommerce customer experience

  • Proven ability to build and launch personalization features that drive measurable business impact

  • Experience working with cross-functional teams including Data Science, UX, CRM, and Engineering

  • Familiarity with Agile workflows and tools such as Jira, Confluence, or similar

  • Strong analytical skills with experience in A/B testing, KPI tracking, and leveraging analytics tools (e.g., Google Analytics, PowerBI, Quantum Metrics)

  • Excellent communication, organizational, and stakeholder management skills

What can help you really stand out:

  • Experience with AI/ML personalization platforms, recommendation engines, or CDPs

  • SFCC, Shopify+, Klaviyo and/or SFMC experience

  • Knowledge of experimentation frameworks and incrementality testing

  • B2C ecommerce experience with a focus on customer acquisition and retention

Approximate Salary Range Based on Experience and Location:

$160,000 - $170,000 USD/annually

#LI-NG1

Apply for this position
Bookmark Report

About the job

Full-time
USA
$160k-$170k per year
Posted 2 hours ago
product management
customer experience
machine learning
ab testing
google analytics

Apply for this position

Bookmark
Report
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Senior Product Manager - AI & Personalization

Paula's Choice Skincare

How you’ll have an impact at Paula’s Choice:

At Paula’s Choice, we pride ourselves in providing an inspiring DTC destination for skincare lovers and truth seekers. To accelerate our growth in the US and AU, we are searching for a Senior Product Manager focused on AI and Personalization who is passionate about building innovative, data-driven customer experiences that drive retention, loyalty, and lifetime value.

This role will have a significant impact on our business by leading the strategy and execution of AI-powered personalization across our ecommerce and digital ecosystem. From guided shopping and predictive recommendations to personalized post-purchase journeys, you will develop and scale products that make every interaction feel uniquely tailored.

You will partner closely with UX, Data Science, CRM, Engineering, and Creative teams to deliver customer-centric solutions that optimize conversion, AOV, and LTV. Your strategic mindset and analytical skills will help identify high-value opportunities, while your product leadership will bring them to life through Agile workflows. Your curiosity about AI and evolving digital trends will allow Paula’s Choice to stay ahead of the curve in how customers discover, engage with, and repurchase our products.

As Senior Product Manager, a typical day might include a mix of the following:

  • Leading the product strategy for AI-driven personalization across channels (site, email, SMS, loyalty, and marketplaces)

  • Developing and launching guided shopping and recommendation experiences powered by machine learning

  • Partnering with data science to translate algorithms into customer-facing features that improve relevance and conversion

  • Evaluating customer journeys and identifying opportunities for automation and tailored engagement

  • Collaborating with CRM and Engineering to integrate personalization into marketing campaigns, post-purchase flows, and membership experiences

  • Creating business cases for personalization initiatives, measuring impact with KPIs (conversion, AOV, LTV, retention), and iterating to optimize results

  • Researching and benchmarking competitors, AI tools, and personalization technologies to ensure Paula’s Choice remains at the forefront of innovation

  • Breaking down business requirements into user stories, and working with engineering to deliver high-quality product experiences

The Details: 

  • Location: Fully remote, US based 

  • Hours: Typical PST business hours, some flexibility required

  • Physical requirements: Ability to handle both long periods of sitting and long periods of screen time

  • Travel requirements: Up to 10% 

What you’ll bring to the table:

  • 5+ years of product management experience, with at least 2+ years focused on AI-driven personalization, data products, or ecommerce customer experience

  • Proven ability to build and launch personalization features that drive measurable business impact

  • Experience working with cross-functional teams including Data Science, UX, CRM, and Engineering

  • Familiarity with Agile workflows and tools such as Jira, Confluence, or similar

  • Strong analytical skills with experience in A/B testing, KPI tracking, and leveraging analytics tools (e.g., Google Analytics, PowerBI, Quantum Metrics)

  • Excellent communication, organizational, and stakeholder management skills

What can help you really stand out:

  • Experience with AI/ML personalization platforms, recommendation engines, or CDPs

  • SFCC, Shopify+, Klaviyo and/or SFMC experience

  • Knowledge of experimentation frameworks and incrementality testing

  • B2C ecommerce experience with a focus on customer acquisition and retention

Approximate Salary Range Based on Experience and Location:

$160,000 - $170,000 USD/annually

#LI-NG1

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Free Job Alerts

Job Skills
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.