Related skills
saas ai apis datamesh datatable๐ Description
- Own Data Links strategy and roadmap across dropdowns, column links, DataMesh, DataTable.
- Be the product owner across multiple squads, guiding platform-level decisions and cross-team dependencies.
- Drive growth in dropdown and column link adoption by improving discoverability and setup across surfaces.
- Lead advanced column links program (duplicates, overwrite, image/hyperlink support) aiding migration from DataMesh.
- Ensure DataMesh and DataTable stability while guiding long-term deprecation/migration.
- Shape multi-year Data Links vision toward a relational model with record links and AI-assisted dropdowns.
- Lead discovery with admins, builders, and power users to surface signals and validate decisions.
- Write clear briefs, requirements, and specs for discovery to GA and post-launch.
- Drive cross-functional alignment across engineering, design, GTM, and CS.
- Represent Data Links in leadership reviews, WBRs, and enterprise conversations.
- Define success metrics and partner with analytics to instrument dashboards from day one.
- Contribute to pricing and packaging decisions with pricing, sales, and GTM teams.
- Perform other duties as assigned.
๐ฏ Requirements
- 5+ years in product management for enterprise SaaS/B2B products.
- Experience owning data management, data modeling, workflow automation, or cross-sheet data referencing.
- Navigate ambiguous, complex platform problems and set scope across multiple squads.
- Strong customer instincts; structure discovery and translate feedback into validated decisions.
- Proven ability to author briefs, requirements, and specs for engineering and design.
- Drive cross-functional alignment across engineering, design, GTM, and CS.
- Comfort working with multiple time zones, including North America.
- Data-driven; define adoption, funnel, and quality metrics; use post-launch data to guide iteration.
- Excellent written and verbal communication; represent product in leadership reviews and with customers.
- Experience with API-driven development or working with platform/infrastructure teams is a plus.
- Exposure to AI/ML product development or shipping AI-assisted features is a plus.
- Legally eligible to work in India on an ongoing basis.
- Fluency in English is required.
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