Customer Success Engineer

About Snowplow

Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.

More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.

The Opportunity

We are always on the look out for standout Customer Success Engineers who are masterminds at juggling both technical and commercial consultative conversations. This role sits in our Professional Services team, reporting into the Director of Technical Account Management. It is absolutely essential that our Customer Success Engineers are curious about our customers and the problems they are trying to solve.

At Snowplow we see activating our customers as one of the most important functions of our business in terms of retaining and delighting customers. We aim to deeply understand the business and data outcomes that our customers want to see and design implementations of our product around this.

Our team works directly with customer data, product, and engineering teams to train them on the Snowplow product, co-design and develop bespoke solutions, implement use cases and quantify business value.

What you\'ll be doing

• 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.

What you bring to the team

• 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’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.

Benefits

• 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