Senior Product Manager for Data Annotation project

Marklix

Posted 13 hours ago 1 views Report Job

PKR. 410,000 - 410,000/Month

About the role

We are looking for a Senior Product Manager to join our team and work directly with a California-based AI startup developing innovative AI solutions in the United States.

You will work on improving how the data gets made: processes, tools, and budget behind video and image annotation. You will work under the CEO of Maklix, and in close collaboration with the Head of Product of our client.

What you’ll do

Understand the unit economics, find where money and time are lost, and drive measurable cost reductions.
Study how annotation tools and processes are used today and turn findings into concrete improvements.
Define what annotation tools the team needs, prioritize improvements, and work with engineers to deliver them.
Formulate hypotheses, set up experiments with clear success metrics, and make sure they are run and evaluated properly together with the data processing team.

Responsibilities

About the role
We are looking for a Senior Product Manager to join our team and work directly with a California-based AI startup developing innovative AI solutions in the United States.
You will work on improving how the data gets made: processes, tools, and budget behind video and image annotation. You will work under the CEO of Maklix, and in close collaboration with the Head of Product of our client.
What you’ll do
Understand the unit economics, find where money and time are lost, and drive measurable cost reductions.
Study how annotation tools and processes are used today and turn findings into concrete improvements.
Define what annotation tools the team needs, prioritize improvements, and work with engineers to deliver them.
Formulate hypotheses, set up experiments with clear success metrics, and make sure they are run and evaluated properly together with the data processing team.
Requirements
3+ years in product management or a similar role, including leading at least two products.
Proven track record of optimizing operational workflows and reducing costs, backed by numbers.
Experience managing or working closely with operational teams such as annotation, support, production, or logistics.
Strong analytical skills: comfortable with spreadsheets and metrics, able to design an experiment and interpret its results.
Enough technical understanding to work with engineers and ML specialists on equal terms.
Experience in a startup or fast-paced environment.
Strong written and spoken English.
Nice to have
Experience with data annotation/labeling, ML data pipelines or computer vision.
Experience managing external vendors or outsourced teams.
Familiarity with annotation platforms (CVAT, Label Studio, Labelbox, Supervisely).
Basic SQL or experience using AI tools (ChatGPT, Claude, Cursor) to speed up analysis and prototyping.