- 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.
- 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.
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.
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