Senior Product Manager W/M - Data & Connectivity

Splio; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Splio is seeking a Senior Product Manager in the Data & Connectivity domain to define the vision and roadmap for integrating Splio with customers' tech stacks and enabling unified data across the platform. You will shape connectors, APIs, data interfaces and governance, working with Engineering, Design and Marketing to deliver scalable, reliable integrations and high data quality.

Strong collaboration and an analytical mindset are essential.

Qualifications

• 5+ years of product management experience in B2B SaaS or platform products.
• Experience with data platforms, integrations, APIs, ETL/ELT, or CDP ecosystems.
• Strong collaboration across engineering, design, product marketing, and customer teams.
• Excellent communication skills for both technical and non-technical audiences.
• Analytical mindset with ability to simplify complex problems and derive insights.

Responsabilités

• Own the Product Vision & Strategy for Data & Connectivity, aligning with Splio's goals.
• Define end-to-end onboarding journeys and reusable integration patterns to drive partner adoption.
• Define and evolve APIs, data interfaces, and ingestion/extraction capabilities.
• Raise data quality standards through validation, normalization and monitoring.
• Lead Discovery & Delivery by framing problems clearly and delivering incremental value.
• Collaborate across teams to ensure alignment and platform coherence.
• Define and track KPIs such as activation, time-to-value, connector adoption and data quality.

Description du poste

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.

Experience

5+ years of product management experience, ideally in B2B SaaS and platform products (data platforms, integration products, APIs, ETL/ELT, CDP/CRM ecosystems, or developer-facing tooling).

Strong Technical Acumen

Comfortable working with Engineering on topics like APIs, data models, connectors, pipelines, identity/matching, event tracking, and system integrations. You do not need to code, but you must be able to make sound product trade-offs in technical contexts.

Data Product Mindset

Proven ability to build products that improve data quality, usability, and trust (validation, normalization, monitoring, governance-oriented UX).

Customer-Centric

Strong empathy for both marketers (end-users) and technical stakeholders (implementers, data teams, partners).

UX thinking

Ability to design product experiences that reduce dependency on professional services and support, while still supporting complex enterprise needs.

Excellent collaboration

Able to align multiple teams on shared interfaces, standards, and platform decisions.

Analytical mind

Ability to simplify complex problems (understand, identify patterns, derive insightful conclusions, break irreversible decisions into smaller easy to reverse decisions)

Innovation-Minded

A passion for exploring new technologies like Agentic AI and a desire to innovate in the field of customer engagement and marketing technologies.

Communication skills

Clear communicator with technical and non-technical audiences. Fluent in English (French is a plus).

A live interview with a case-study, with the VP of Product and a team member (1h30)

A last interview with the CPTO and an opportunity to meet other team members (1h30)