Senior Data Product Manager
- תל אביב
- זמנית
- משרה מלאה
- Define and execute a strategic and execution plan for BeamUP's data and AI platform, ensuring alignment with executive priorities and market opportunities.
- Lead platform-wide architecture, governance, and interoperability standards for data models, pipelines, and integrations.
- Act as the primary product voice for AI/data strategy in executive discussions, client C-level meetings, and partner engagements.
- Collaborate directly with clients to ensure onboarding success, define business success metrics, and rollout milestones.
- Mentor other PMs, fostering a culture of customer obsession, technical excellence, and measurable impact.
- Partner with Engineering, Data Science, and Solution Engineering teams to design data models, pipelines, schemas, and enrichment flows across a wide range of external data inputs (APIs, unstructured formats, operational feeds).
- Establish frameworks for data quality, observability, and self-healing ingestion across distributed, multi-vendor systems.
- Conduct deep market research and competitive analysis to guide investment decisions and identify emerging opportunities.
- Drive platform-wide data consistency by introducing standards for cross-source schema design, entity resolution, and joinability.
- Conduct market analysis, user interviews, and internal research to identify product gaps, edge cases, and scalability challenges.
- Build internal tooling and dashboards to surface model performance, user adoption, and operational bottlenecks.
- Use SQL and Python for hypothesis validation, data exploration, and rapid prototyping to support discovery and iteration.
- 4+ years in product management roles, with a strong emphasis on SaaS data and AI-powered products.
- Proven track record of building and scaling data products in AI-driven, enterprise SaaS environments.
- Strong technical proficiency, comfortable querying large datasets, writing data transformation logic, and working alongside engineers and data scientists.
- Experience working at executive and enterprise C-level, influencing strategy and securing stakeholder alignment.
- Deep understanding of AI model lifecycle, feature engineering, and the operational realities of production ML.
- Track record of owning product outcomes end-to-end, launching, measuring, and iterating in fast-paced environments.
- Exceptional communication skills, able to translate complex technical concepts into compelling business narratives.
- (Bonus) Background in enterprise software, supply chain technology, or physical security systems.
Mploy