Senior Product Manager W/M - Data & Connectivity

As a Senior Product Manager in the Data & Connectivity domain, you will lead the product strategy and execution for the capabilities that make Splio easy to integrate into our customers’ tech stack and that unlock the value of unified data across the platform.

You will work at the intersections of key product pillars that form the foundation of our AI-first platform:

• Connectivity & integrations: Building, growing and enabling partners to build integrations, so customers can activate Splio faster with less technical effort.

• Customer intelligence & data platform (CDP): Building and evolving event-driven foundations, data interfaces (In & Out), ensuring scalability and strong data quality foundations through cleaning, normalization, validation, and monitoring.

• Data activation: unlocking the power of data for marketers and enable Splio’s AI & agentic capabilities by providing robust workflows, data stores, and enrichment capabilities.

• Audiences: enabling marketers to explore, analyze, and segment data through an intuitive audience builder and data UIs across entities.

• Analytics: helping marketers understand business and data performance and enabling other product areas with reliable performance metrics.

Missions & Responsibilities

• Own the Product Vision & Strategy: Define the vision, strategy, and roadmap for Data & Connectivity, aligned with Splio’s business goals and customer needs.

• Make integration self-service: Design end-to-end onboarding journeys, create reusable integration patterns, and drive adoption of partner connectors.

• Build best-in-class data interfaces: Define and evolve APIs, ingestion/export mechanisms, and integration capabilities that balance flexibility with simplicity.

• Raise data quality standards: Define expectations for data validation, normalization, and monitoring. Enable transparency so customers understand and can fix data issues.

• Lead Discovery & Delivery: Identify opportunities through customer research and data analysis. Frame problems clearly and deliver incremental value while maintaining platform coherence.

• Collaborate across teams: Work closely with Engineering, Product Design, Product Marketing, and customer-facing teams to ensure alignment and consistency.

• Drive outcomes with metrics: Define and track KPIs including activation rate, time-to-value, connector adoption, integration reliability, and data quality indicators.