product
Added 2 weeks agoProduct Manager
at Turnkey Labs
BrazilRemote
Responsibilities
- Conduct deep customer and market research to understand use cases, the competitive landscape, and whitespace opportunities.
- Support pricing, packaging, and competitive positioning decisions in partnership with GTM teams.
- Collaborate with Product Specialists (our product-sales translators) to enable sales motions, support client conversations, and scale enablement across all feed products.
- Coordinate with Feed Operations on day-to-day delivery, incident management, and operational improvements.
- Define and own processes for incident communication - including client-facing notifications, data issue escalation, and resolution workflows.
- Monitor operational health and proactively identify risks before they reach clients. Delivery
- Ensure documentation is complete, accurate, and continuously updated as products evolve. 3P Data Partnerships Contribute to the evaluation and management of additional data vendor relationships that underpin feed products.
- Collaborate with data sourcing teams to assess new data opportunities and integration feasibility.
Requirements
- Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
- We collaborate closely with engineering partners (who own technical architecture, infrastructure, and delivery) and our go-to-market teams (Sales, CS, and dedicated Product Specialists who sit between Product and Sales).
- experience working with data. Preferred
- Experience owning a product P&L or demonstrable commercial accountability.
- Familiarity with buy-side, quant, and systematic investor use cases (signal testing, backtesting, alpha generation workflows).
- Experience with alternative data products or the alternative data ecosystem.
- Familiarity with Databricks, Jira, and Agile project management methodologies.
- Experience managing or partnering on third-party data vendor relationships.