Senior Product Manager Data Platform

• 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 platforms 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 Bachelors or Masters 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 isnt the right instrument.
• Stakeholder management across functions with genuinely competing goals and the judgment to resolve them into one 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 OReilly.
• 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.

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Remote Work :

No

Employment Type :

Full-time