
51 - 200 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
💰 Venture Round - Snowplow on 2023-06
SaaS • Enterprise
Snowplow is the Customer Context Infrastructure that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. Data teams rely on Snowplow to collect and process event-level data in real time, delivering it to their warehouse, lake, or stream, without the engineering overhead of building data infrastructure. Product and engineering teams rely on it to power agentic AI systems, personalization, and fraud detection. Snowplow provides products like Data Foundation, Event Tracking, Data Pipeline, Event Studio, Profiles, Real-Time Triggers, Modeling & Analytics, ML & Agentic AI features (Agentic Context, Intent Detection, Proactive Decisioning). It integrates with many data platforms (Databricks, Snowflake, BigQuery, S3, Kafka, Clickhouse) and ML/agent frameworks (LangChain, AWS Bedrock, Vertex AI, Vercel). It targets industries like Games, Media & Entertainment, Retail & Ecommerce, Software, Financial Services and teams including Data Engineering, Product Analytics, Data Science, Marketing. Snowplow emphasizes real-time, validated, governed event-level data, open and transparent approach, privacy and compliance, and deployment options including self-hosted pipelines. It positions itself as enabling real-time customer context for AI agents and advanced analytics, replacing legacy analytics tools and in-house pipelines.
🔥 15 minutes ago
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51 - 200 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
💰 Venture Round - Snowplow on 2023-06
SaaS • Enterprise
Snowplow is the Customer Context Infrastructure that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. Data teams rely on Snowplow to collect and process event-level data in real time, delivering it to their warehouse, lake, or stream, without the engineering overhead of building data infrastructure. Product and engineering teams rely on it to power agentic AI systems, personalization, and fraud detection. Snowplow provides products like Data Foundation, Event Tracking, Data Pipeline, Event Studio, Profiles, Real-Time Triggers, Modeling & Analytics, ML & Agentic AI features (Agentic Context, Intent Detection, Proactive Decisioning). It integrates with many data platforms (Databricks, Snowflake, BigQuery, S3, Kafka, Clickhouse) and ML/agent frameworks (LangChain, AWS Bedrock, Vertex AI, Vercel). It targets industries like Games, Media & Entertainment, Retail & Ecommerce, Software, Financial Services and teams including Data Engineering, Product Analytics, Data Science, Marketing. Snowplow emphasizes real-time, validated, governed event-level data, open and transparent approach, privacy and compliance, and deployment options including self-hosted pipelines. It positions itself as enabling real-time customer context for AI agents and advanced analytics, replacing legacy analytics tools and in-house pipelines.
• Onboard new customers, understand their business needs, and help them design and build Snowplow-centered solutions • Help drive customer retention and growth by educating customers on best practices and the fundamentals of Snowplow technology • Creatively and flexibly engage our customers to work with the wide variety of technical and organisational challenges they face • Collaborate with your teammates to develop new and innovative resources – such as training content, technical assets, and implementation methods – to contribute to our extensibility framework • Develop domain expertise in our key verticals through deep customer collaborations, general research, and involvement with industry events/conferences. • Help shape our product roadmap and evolution by interpreting customer feedback, spotting trends, and identifying key opportunities for improvement • Develop your industry expertise and personal brand by contributing to marketing events and webinars.
• You understand people. Deeply emotionally intelligent, you can quickly read a room of stakeholders and adapt your delivery style and content quickly, showing them what conceptual ideas look like in reality. • Experience and a solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack. You’ll know SQL and be practised at manipulating data. • Creative problem solver. Previous experience with a complex software product, ideally designing solutions and gathering requirements. You are comfortable communicating with senior technical stakeholders (CTO, VP Eng, Tech Leads). • Business challenge? Let me help. A passion for working at the intersection of technology and business problems - this role is always about delivering business impact for our customers through data. You enjoy helping individuals and teams to learn new skills and master technologies. • Excellent communication skills. Excellent listener, a patient teacher and an empathetic data professional. You make complex concepts easy to understand by showing how they work in practice. You’ll also be a proactive team player that collaborates with colleagues on projects. • Comfort with emerging technologies in a rapidly changing landscape – including AI development practices, agentic browsing patterns, and the overall evolution of human-technology interaction. • ***Bonus points if you have***** • Experience with Javascript in a frontend environment, preferably with Snowplow or other JS trackers, or experience with setting up tracking through Google Tag Manager. • Experience developing applications for web, iOS, Android, or other platforms. • Experience with behavioural data and/or event tracking, including with Snowplow technology. • Experience building and maintaining data pipelines – including connectors, data modeling, and realtime data.
• 🚀 Meaningful equity stake • 💰 Competitive Base Salary • 🧘 Flexible working • 🏖️ Unlimited PTO • ✍️ 401k • 🏥 Medical, dental & vision insurance • 💻 MacBook and home office equipment allowance • 📋 Short & long term disability insurance • 👪 Enhanced maternity, paternity, shared parental and adoption leave
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