Associate Product Manager

At ekincare, Product is not about shipping a list of features for the sake of shipping. It is about finding the real problem, understanding why it exists, and solving it at the root - so a business metric moves. As an Associate Product Manager, you will own features end-to-end - from problem definition to shipping to measuring impact - while working closely with a Product Manager to help drive the business metrics they're accountable for. You won't just execute a spec handed to you; you'll understand the “why” behind it, and build the judgment to grow into owning outcomes yourself.

What you will do:

• Own features end-to-end. Take a feature from problem definition through shipping to measuring impact — not just execution of a spec handed to you.

• Support metric movement. Work with your Product Manager to understand the business metrics they own, and help drive them through the features and improvements you ship.

• Look past the obvious ask. Get curious about the root cause behind a request or problem, not just the surface symptom.

• Get comfortable with data. Dig into data, spot patterns, and use them to inform your decisions and validate whether what you shipped actually worked.

• Talk to customers. Don't rely only on dashboards or stakeholder opinions - get on calls, observe workflows, and hear feedback firsthand.

• Think from first principles. Question existing processes and assumptions rather than just digitising how things work today.

• Ship fast. Prototype, test, learn, and iterate. Bias towards action over perfect plans.

• Use AI as a force multiplier. Be hands-on with the latest AI tools for prototyping, analysis, experimentation, development, and your own productivity.

• Work cross-functionally. Coordinate with engineering, design, business, and operations to get your features shipped.

• Follow through. Own your features from opportunity to shipped solution to measured impact.

What we are looking for:

• 1–2 years of product management or related experience (this includes people who haven't had the "Product Manager" title but have done this kind of work).

• Good product fundamentals and an eagerness to work through ambiguous, complex problems.

• A track record of shipping features that mattered — ideally ones you can tie back to a metric or customer outcome. • Comfort with data — able to go from a question → data → insight → hypothesis → action, even if still building this muscle.

• Customer empathy and a willingness to get on calls, observe workflows, and hear uncomfortable feedback.

• High ownership. You don't wait to be told what to do next.

• Strong execution bias and comfort operating with speed and imperfect information.

• Curiosity about modern AI tools and genuine interest in using them to build and ship faster.