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At Sifflet,
Data Means Business.

Data drives every strategic decision, guides innovation, and powers transformation. But how do companies ensure their data is reliable? How can they trust the insights that guide critical business choices? How do they turn raw information into actionable intelligence, high-performing products, and superior strategies? Enter Sifflet.

sifflet team at a convention
sifflet team at a convention

Who We Are

We are a data observability platform. 
We offer end-to-end oversight into the entire data stack, helping teams to uncover, prevent and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.

Our Mission

We help companies see data breakthroughs. Sifflet delivers smoother running data stacks by providing detailed oversight and solutions that reduce data breaks, improve team alignment and operations, and build confidence in the numbers. The result? Superior insights, value and products from data.

Sifflet team

Meet our Executive team

Sifflet was built by a data-obsessed team for
data-obsessed teams.

Chief Executive Officer
Salma Bakouk
Before founding Sifflet, Salma worked in quantitative sales & trading at Goldman Sachs, where she saw firsthand how unreliable data could undermine even the most sophisticated models. She holds two master’s degrees in Applied Mathematics and Computer Science from École Centrale Paris. Named among Europe’s Top 100 Women in Tech, Salma is a frequent speaker at leading industry events including Gartner D&A Summit and Big Data LDN. Outside of work, she loves running mountain trails, discovering new cities, and spending time with her dog always chasing the same clarity and balance she strives to bring to data.
Head of Sales
Joe Steadman
Joe is Head of Sales at Sifflet, focused on solving the data trust problem by helping teams detect broken data, understand business impact, and fix issues before they drive bad decisions. Previously at Matillion for 9 years, he led enterprise and strategic sales across EMEA, built and scaled high performing teams, consistently outperformed targets, and started as the company’s first sales hire, helping shape early go to market and partnerships.
Head of Operations
Rémi Bastien
Rémi is Head of Operations at Sifflet where he drives operational execution and scale. Previously at Contentsquare for nearly a decade, he led strategic cross functional projects and built operational excellence capabilities, spanning BI and KPIs, data governance and master data, knowledge management, tooling, process optimization, and PMO leadership.
Head of Product
Laura Malins
Laura Malins is the Head of Product at Sifflet. She spent a decade at Matillion, joining when the company was around 10 people and helping drive its growth to unicorn scale, including leading major product launches, evolving pricing and billing, optimising GTM approaches and improving the customer onboarding journey. She later led product at ALTR where she drove forwards a comprehensive vision and more complete product processes. Laura is passionate about building great products and supports individuals and small companies through board roles and mentoring.
Head of Solution Engineering
Alex Iorga
Alex is Head of Solutions Engineering and Customer Success at Sifflet, leading technical presales and post sales to drive smooth adoption and measurable outcomes. Previously at Deepomatic, he built and scaled Sales Engineering from first hire to Director, defined sales methodology with leadership, shaped the roadmap with product, built key partnerships, signed the company’s first North America customer, and expanded into LATAM. Earlier, he was a data and analytics consultant at Accenture in the UK, delivering BI and reporting programs and leading agile project work.
Head of Marketing
Romain Doutriaux
Romain Doutriaux is Head of Marketing at Sifflet, driving brand and pipeline with a sharp go to market lens. Previously, he led global marketing at Pigment, scaling inbound pipe gen, ABX and influence plays, and a 20 plus person team. Before that, he spent over seven years at Dataiku, moving from France Marketing Manager to VP EMEA Marketing, owning EMEA strategy across PR, digital, events, ABM, partnerships, and positioning in tight alignment with Sales and Product.
Head of Engineering
Benoit Faucon
Benoît Faucon is the head of Engineering at Sifflet, leading integrations and infrastructure. Previously, he held lead infrastructure and security roles at Terality and Mindsay, where he built reliable cloud platforms, improved developer velocity, and drove security and compliance efforts, including SOC 2 readiness. Earlier in his career at Withings, he delivered automation and observability systems across large scale bare metal and cloud environments. He is a graduate of Ecole Centrale Paris.

Join Our Team

Sifflet team
sifflet's dog
sifflet at a convention
meeting of Sifflet team
Sifflet team
sifflet team at a convention
Sifflet team team work
Sifflet team

Frequently asked questions

What makes Sifflet a more inclusive data observability platform compared to Monte Carlo?
Sifflet is designed for both technical and non-technical users, offering no-code monitors, natural-language setup, and cross-persona alerts. This means analysts, data scientists, and executives can all engage with data quality monitoring without needing engineering support, making it a truly inclusive observability platform.
How can inefficient SQL queries impact my data pipeline performance?
Great question! Inefficient SQL queries can lead to slow dashboards, increased ingestion latency, and even failed workloads. By optimizing your queries using best practices like proper filtering and avoiding SELECT *, you help improve data pipeline monitoring and maintain overall data reliability.
Why is data observability so important for AI and analytics initiatives?
Great question! Data observability ensures that the data fueling AI and analytics is reliable, accurate, and fresh. At Sifflet, we see data observability as both a technical and business challenge, which is why our platform focuses on data quality monitoring, anomaly detection, and real-time metrics to help enterprises make confident, data-driven decisions.
Why does query formatting matter in modern data operations?
Well-formatted queries are easier to debug, share, and maintain. This aligns with DataOps best practices and supports transparency in data pipelines, which is essential for consistent SLA compliance and proactive monitoring.
What kind of insights can I gain by integrating Airbyte with Sifflet?
By integrating Airbyte with Sifflet, you unlock real-time insights into your data pipelines, including data freshness checks, anomaly detection, and complete data lineage tracking. This helps improve SLA compliance, reduces troubleshooting time, and boosts your confidence in data quality and pipeline health.
Why did Shippeo decide to invest in a data observability solution like Sifflet?
As Shippeo scaled, they faced silent data leaks, inconsistent metrics, and data quality issues that impacted billing and reporting. By adopting Sifflet, they gained visibility into their data pipelines and could proactively detect and fix problems before they reached end users.
What is data observability and why is it important for modern data teams?
Data observability is the ability to monitor and understand the health of your data across the entire data stack. As data pipelines become more complex, having real-time visibility into where and why data issues occur helps teams maintain data reliability and trust. At Sifflet, we believe data observability is essential for proactive data quality monitoring and faster root cause analysis.
How does Sifflet make it easier to manage data volume at scale?
Sifflet simplifies data volume monitoring with plug-and-play integrations, AI-powered baselining, and unified observability dashboards. It automatically detects anomalies, connects them to business impact, and provides real-time alerts. Whether you're using Snowflake, BigQuery, or Kafka, Sifflet helps you stay ahead of data reliability issues with proactive monitoring and alerting.
Still have questions?

Want to join the team?

We're seeking driven individuals eager to roll up their sleeves and help make data observability everyone's business.