Senior Product Manager, Personalization

Calo Inc
Dubai
AED 200,000 - 400,000
Job description

About Calo

Launched in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

As a Senior Product Manager for Personalization, you will own the strategy and execution of Calo’s personalization initiatives, ensuring that every customer has a tailored experience that aligns with their health goals and preferences. You will work closely with cross-functional teams, including engineering, data science, design, and product operations, to deliver impactful solutions that drive engagement, retention, and satisfaction.

The role requires a strong product sense, deep analytical thinking, and the ability to collaborate and influence across departments. You will be tasked with solving complex personalization challenges at scale, leveraging data, algorithms, and cutting-edge technologies to optimize and continuously improve our offerings.

The ideal candidate has experience working on large-scale personalization efforts, such as recommendation algorithms, news feeds, or similar data-driven products, and thrives in high-growth environments.

Key Responsibilities

  • Define and execute the personalization strategy, focusing on delivering highly relevant and tailored experiences to Calo customers.
  • Leverage data and advanced analytics to optimize personalization algorithms and drive measurable business outcomes.
  • Collaborate with stakeholders across engineering, data science, design, and product teams to build and iterate on personalization features.
  • Lead initiatives to enhance user engagement, retention, and satisfaction through personalized recommendations and experiences.
  • Effectively communicate the vision and impact of personalization initiatives to stakeholders at all levels.

Ideal Candidate

  • Proven experience working on large-scale personalization efforts, such as algorithms, recommendation systems, or similar features.
  • High-growth startup experience with the ability to thrive in a fast-paced environment.
  • Academic background in physics, engineering, computer science, economics, data science, or a related field.
  • Experience with AI, machine learning, computer vision, or other advanced technologies.
  • Excellent communication and leadership skills, with experience influencing at all levels.

Advice on Applying

We get lots of candidates that apply or reach out, and we’re always humbled by the interest. It’s impossible for us to know who’s a killer candidate and who isn’t from a black & white A4. If you put more effort in your application, you’d get more of our attention.

Try recording a 3 minute video telling us why you’d be a great fit for the role, upload it on YouTube and make it unlisted, and share the link in your application.



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