Senior Software Engineer, Audience

Not the soul-crushing kind of boring — more like the “no drama, no chaos, just smart people doing great work” kind. The kind that lets you focus on what matters, without pointless meetings, micromanagement, or bureaucracy. We’re data-driven. We test, we iterate, we improve. Gut feelings don’t drive decisions — insights do. We trust each other. We’re transparent, give real feedback, and actually listen. No egos, no hand-holding — just a team of experienced professionals moving fast, adapting easily, and delivering impact. Omnisend is customer-funded and customer-driven. Our work is rooted in solving real problems that help ecommerce brands grow. No empty promises — we bring in results. And yes, we have fun. But the grown-up kind — workations, team gatherings, the occasional party. No forced fun, no awkward icebreakers. Just genuine moments with a team that actually enjoys working together.

About the role

We are looking for a Senior Software Engineer with a focus on backend development. Proactive, product-minded individuals who are enthusiastic about crafting impactful and scalable software products will thrive at Omnisend. You would join the Audience team that helps ecommerce businesses to make marketing messages personal by providing their customer insights and effective targeting capabilities.

Segmentation engine - turns ~10 billion behavioral events a month into always-fresh customer groups. It processes over a billion segment entries and exits every month, so the right customers get the right message at the right moment. Keeping that fast and accurate at our scale is the core engineering challenge of the team.

How we work and what we value

• Company-wide OKR
• Empowered product teams that solve customer and business problems
• Objective-based planning and experimentation-driven delivery
• Product-led growth
• We look at product metrics daily, we speak to our customers, and do it often
• Outcomes and bringing value to our customers over outputs and feature factories
• Ship to learn. Experimentation to validate hypotheses and assumptions
• Truly embracing data-driven decisions.