Binagora

Product Manager

• Define, articulate, and execute a data-driven product strategy and roadmap aligned with overarching business goals.
• Help shape ambiguous concepts into clear, actionable product requirements. Lead the end-to-end product lifecycle—from conducting user research and market analysis to writing specs, framing complex problems, and prioritizing the backlog.
• Collaborate closely with stakeholders to brainstorm, plan, and execute creative product launch strategies that drive user adoption and engagement.
• Align and communicate product progress, trade-offs, and strategic direction with cross-functional partners and executive leadership.
• Establish, track, and analyze key success metrics (KPIs/OKRs) to measure product performance, drive optimization, and guide future iterations.

Data Engineer

• Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables; move from weekly full-refresh to daily/near-real-time incremental loads via CDC (e.g., AWS DMS). Build and own the centralized analytics layer.
• Establish unified data definitions, metrics, KPIs, and benchmarks across the organization. Deliver a Master Data Management (MDM) framework with unified definitions and governance standards.
• Drive migration to the centralized layer while deprecating direct raw table access.
• Partner with internal departments to drive self-service analytics and build aggregations/data marts for benchmarking and experimentation.
• Conduct exploratory and statistical analysis for data validation, and implement data observability/monitoring.
• Partner with the Applied AI Engineer to design AI-ready data models (including retrieval- and embedding-ready structures to ground RAG and LLM applications). Expand the data lake to ingest third-party sources (e.g., HubSpot, Jira, Zendesk).

Product Manager

Senior Data Engineer