Senior Product Manager - Data Platform

Posted 2 Days Ago
Be an Early Applicant
Hồ Chí Minh, VNM
In-Office
Senior level
Marketing Tech • Software
The Role
Own the data platform product roadmap and prioritize shared capabilities across consuming teams. Define personalization, ranking, and recommendation platform models; partner with engineering on APIs, serving performance, feature pipelines, and experimentation. Establish platform success metrics, SLAs, observability, and guardrails while driving adoption across teams. Resolve competing stakeholder priorities and translate ambiguous requests into actionable product requirements.
Summary Generated by Built In
Company Description

  • Chợ Tốt is part of Carousell Group, the fastest-growing classifieds technology group in Southeast Asia. Since launching in the Vietnamese market in 2013, Chợ Tốt has become a recommerce platform for buying and selling second-hand goods, with more than 10 million users and over 1 million items listed for resale every month. As Vietnam’s leading online classifieds site, we are passionate about making life more convenient for everyone.
  • Our mission is to help everyone find a way to any of their wants (“Muốn là có”). We are a dynamic family with young and energetic members seeking motivated talents to join our fast-moving and fun-loving crew..
  • For more information please visit https://careers.chotot.com/about-us/

Job Description

  • Own the platform roadmap: turn conflicting tasks from consuming teams into one prioritized set of shared capabilities.
  • Problem framing by digging into the original request, reproduce the pain point, and define the actual problem before handing it to engineering.

  • Design the parameterization model & platforms: which signals, weights, rules, and ranking strategies a consuming team can flexibility use and modify

  • Partner with engineering on the platform's technical foundations - API contracts, real-time serving latency and throughput, and feature pipelines that stay consistent between training and serving.

  • Ship the self-serve experimentation layer integrated to our platform - A/B tests, holdouts, guardrail metrics - so each team can measure the outcome it cares about, and arbitrate when two teams' configurations collide.

  • Define platform-level success metrics: adoption across departments, incremental lift delivered platform-wide, latency and reliability SLAs

  • Drive adoption hands-on: onboard each consuming team, scope its personalization needs.

  • Anticipate how the platform fails as usage grows - configuration drift, factors interacting across teams, cold start for new signals and consumers - and roadmap the guardrails and observability that catch it first.

Qualifications

  • A Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field, along with a minimum of 5 years of product management experience, at least 2 of them as a technical or platform PM. Experience with recommendation, ranking, or personalization systems is highly advantageous.
  • Hands on experience as technical or platform product manager, work with ML or data engineering teams.
  • Ability to deconstruct vague stakeholder requests to precise problem statements, evaluation frameworks, and outcomes alongside engineering.
  • Track record of owning a platform, shared service, or internal API adopted by multiple teams
  • Working knowledge of recommendation, ranking, or personalization infrastructure (feature stores, real-time vs. batch serving, training/serving consistency)
  • Experience running decisions through an experimentation framework - A/B design, guardrail metrics, and knowing when a test isn't the right instrument.
  • Stakeholder management across functions with genuinely competing goals, and the judgment to resolve them into one roadmap.Excellent English communication, with PRDs and design docs clear enough for engineers to build straight from.
  • Fluent use of AI tools (Claude, ChatGPT, or equivalent) in your daily workflow for research, spec writing, and data exploration.

 

Benefits:

  • Working in a young, dynamic, and supportive environment
  • Receive 100% salary during the probation.
  • Social insurance full-salary for employee in the probation
  • Premium healthcare for employees.
  • Get 15 days of annual leave + 5 days of sick leave + 1 birthday leave + 1 Christmas day leave per year
  • Get a 13th-month salary and annual performance bonus.
  • Laptop device will be provided
  • Learning and career development opportunities with access to Coursera, Udemy, and O’Reilly.
  • Complimentary fruits, coffee, and tea are provided at the office.
  • Our modern offices serve perfectly for a relaxed, yet productive work environment.
  • You will grow with the FRUIT values of Fast Growth, Responsibility, User-first, Integrity, and Team.

Additional Information

Thank you for taking your time to read our job description and thank you in advance if you decide to apply for this position. Shortlisted candidates will be contacted within 2 weeks since application, otherwise we might meet when another chance arises.

By proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement. 

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field
  • At least 5 years of product management experience
  • At least 2 years of experience as a technical or platform product manager
  • Hands-on experience working as a technical or platform product manager with machine learning or data engineering teams
  • Ability to translate vague stakeholder requests into precise problem statements, evaluation frameworks, and measurable outcomes
  • Track record owning a platform, shared service, or internal API adopted by multiple teams
  • Working knowledge of recommendation, ranking, or personalization infrastructure, including feature stores and training-serving consistency
  • Experience with experimentation frameworks, A/B testing, and guardrail metrics
  • Stakeholder management experience across functions with competing goals
  • Excellent English communication and ability to write clear PRDs and design documents
  • Fluent daily use of AI tools such as Claude, ChatGPT, or equivalent
  • Experience with recommendation, ranking, or personalization systems
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The Company
HQ: Kuala Lumpur
234 Employees

What We Do

Mudah.my is Malaysia’s leading marketplace that offers a free and convenient platform for people to buy and sell new and preloved goods just with a simple post of an ad. Today, more than 8 million unique visitors visit Mudah to sell and buy everything from Cars to Cameras, Properties to Pets, Mobile phones to Motorcycles, Treadmills to Textbooks, Bicycles to Beds, Guitars to Golf sets, Plants to Posters, Watches to Washing machines, Tyres to Tablets, Dresses to Drums, Shoes to Shops, Collectibles to Computers, Jobs and more – Everything Also Mudah!

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