Data & AI Product Lead: Pricing, Fraud & Insights

Remote; San Francisco (CA); Presencial; USD 140 000 - 210 000; Tempo integral

Resumo da oferta

Soum is seeking a Data & AI Product Manager to own pricing, fraud detection, inspection automation and discovery personalization for its recommerce platform. You will combine deep data understanding with commercial judgement, writing SQL, reviewing data models and guiding ML/AI initiatives into production.

You will define the product roadmap, partner with data engineers, data scientists and business leaders, measure impact with offline and online metrics, and ensure compliance with PDPL.

Qualificações

• 2-4 years of product management experience with data platforms or ML/AI products.
• Data depth comparable to a data engineer: SQL, data modelling, ETL/ELT, event tracking.
• Familiar with modern data stacks (BigQuery, Snowflake, Redshift, dbt, Airflow, Kafka).
• Strong commercial acumen with measurable revenue, margin, or cost impact.
• Fluent English; Arabic is a plus.

Responsabilidades

• Define and own the Data & AI product roadmap tied to commercial outcomes.
• Lead pricing and valuation products for used electronics and cars.
• Identify, size and ship AI/ML use cases across the business.
• Own the data platform as a product and work with data engineering on pipelines and data contracts.
• Write SQL, explore datasets, validate data models.

Conhecimentos

SQL

Data modelling

ML/AI products

Product management

Communication

Commercial sense

Leadership

Ferramentas

BigQuery

Snowflake

Redshift

dbt

Airflow

Kafka

Descrição da oferta de emprego

Soum is seeking a Data & AI Product Manager to own pricing, fraud detection, inspection automation and discovery personalization for its recommerce platform. You will combine deep data understanding with commercial judgement, writing SQL, reviewing data models and guiding ML/AI initiatives into production.

You will define the product roadmap, partner with data engineers, data scientists and business leaders, measure impact with offline and online metrics, and ensure compliance with PDPL.