About Sifflet
Sifflet is redefining Data Observability for the AI era. Our platform enables enterprises to build trustworthy data products and AI applications by combining deep technical observability with business context.
We’re now extending our platform with agentic capabilities autonomous assistants that detect, diagnose, and act on data issues in real time. To accelerate this vision, we’re hiring an AI Product Manager to work directly with our CEO and engineering teams on building the next generation of observability and trust products.

What You’ll Do

• Own the agentic product roadmap: define, prioritize, and deliver features that bring AI-powered agents into data observability workflows.

• Bridge AI and data: design how observability signals (metadata, lineage, anomalies, KPIs) can be activated and consumed by agents.

• Shape the experience: ensure agentic features are usable, explainable, and auditable for enterprise customers.

• Work hands-on with engineering: prototype, test, and iterate quickly on AI-driven workflows.

• Engage customers: run discovery with data engineers, analysts, and business stakeholders to ensure product/market fit.

• Track ecosystem trends: stay close to developments in LLM frameworks, multi-agent systems, and AI observability and translate them into practical product bets.

What We’re Looking For

• Based in Paris or Europe

• Proven experience as a Product Manager in AI/ML products, ideally with agentic or LLM-based systems.

• Strong technical fluency: you understand concepts like retrieval, orchestration, evaluation, tool use, and can prototype workflows with APIs.

• Familiarity with data engineering and observability (pipelines, lineage, monitoring).

• Passion for trustworthy AI: explainability, compliance, and reliability.

• Excellent product management craft: discovery, prioritization, specs, and delivery.

• Strong communication and storytelling skills able to bridge technical and business worlds.

• Curiosity, adaptability, and comfort operating in a fast-moving, ambiguous space.

Nice to Have

• Exposure to data observability, monitoring, or metadata platforms.

• Experience building for regulated enterprises (finance, insurance, healthcare).

• Familiarity with SaaS deployment models (SaaS, hybrid, on-prem agent).

Why Join Us

• Be at the forefront of AI + data infrastructure, shaping how enterprises build trustworthy AI.

• Work directly with the CEO and founding team on a high-visibility initiative.

• Build products in a greenfield space where agentic systems are just emerging.

• Competitive compensation, including stock options.