Product Engineer, Backend; Go

Let's Architect a Data Engine at Scale.

Are you ready to define the technical future of a product that developers genuinely love?

At Dash0, we're not just building another observability tool; we're on a mission to bring observability closer to the developers; make it a part of their everyday work. We believe that getting deep insights should be easy and accessible. Our customers praise our simpler solution that empowers developers, and we're scaling fast.

We are looking for a Staff Product Engineer to lead the architectural vision of our backend, joining our Intelligent Edge team, extending the Open Telemetry Collector with capabilities to reduce the vast amount of data in a smart and efficient way, allowing customers to cut through the noise of big Open Telemetry installations.

You won't just write code; you will own the technical roadmap, drive economic efficiency in our data infrastructure, and mentor a team of brilliant engineers.

• Architect for massive scale and complexity. You will provide technical leadership for our core ingestion and processing pipelines. Your role is to look ahead—anticipating future bottlenecks and ensuring our systems can scale smoothly.
• Telemetry Manipulation. You will process and manipulate telemetry data iding single-points of failure while delivering novel approaches to telemetry volume management.
• Drive reliability and risk management. You will own the reliability of the platform, proactively identifying risks before they become incidents. You'll foster a security-first culture and ensure our monitoring efforts are world-class.
• Provide mentorship and improve the process. You will define the standards for code quality, testing, and observability. You act as a force multiplier—mentoring others, reviewing PRDs to ensure technical feasibility, and simplifying complex technical designs to align with product goals.

• Within 1 week, you'll have shipped your first piece of production ready code.
• Within 3 months, you'll have extended our pipeline mechanisms with new aggregation and sampling capabilities that are deployed SaaS- and customer-side.
• Within 6 months, you'll have established new architectural patterns for our Go services and Open Telemetry Collector distributions. You will be actively mentoring engineers across the organization, helping them level up their understanding of distributed systems and observability.
• Within 12 months, you will be a technical authority for our Intelligent Edge strategy, having successfully guided the team through major scaling challenges. You'll have played a key role in shaping the product roadmap by bridging the gap between technical constraints and customer needs.

• Has deep architectural expertise in building and scaling distributed backend systems using Go. You understand the trade-offs of different patterns and can explain them clearly.
• Has solid knowledge of Kafka. You understand messaging systems and patterns well enough to come up with efficient and creative solutions.
• Expertly leverages AI and agentic coding tools to accelerate development, applying deep technical judgment to verify, refine, and own the final output.
• Has strong product and economic thinking. You don't just build features; you collaborate with product teams to evaluate feasibility and resource efficiency, ensuring we deliver value to customers efficiently.
• Is a natural mentor and cultural leader. You have a track record of improving team processes, fostering psychological safety, and elevating the quality of work around you.
• Lives and breathes Observability. As an expert in Open Telemetry and monitoring, you contribute to improving observability not just in our product, but within our own engineering practices.

• Deep architectural expertise in building and scaling distributed backend systems
• Strong hands‑on experience with Go
• Experience designing and scaling high‑throughput ingestion and processing pipelines
• Strong understanding of distributed systems trade‑offs
• Experience preventing single points of failure
• Experience architecting for massive scale and…